Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation |
8 |
9 |
9 |
|
|
8.67 |
Do we need complex image features to personalize treatment of patients with locally advanced rectal cancer? |
8 |
9 |
9 |
|
|
8.67 |
Hierarchical graph pathomic network for progression free survival prediction |
8 |
9 |
9 |
|
|
8.67 |
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation |
8 |
9 |
|
|
|
8.50 |
A Hierarchical Feature Constraint to CamouflageMedical Adversarial Attacks |
8 |
9 |
8 |
|
|
8.33 |
Comprehensive Importance-based Selective Regularization for Continual Segmentation Across Multiple Sites |
8 |
9 |
8 |
|
|
8.33 |
Continuous-Time Deep Glioma Growth Models |
7 |
9 |
9 |
|
|
8.33 |
Cross-modal Attention for MRI and Ultrasound Volume Registration |
7 |
9 |
9 |
|
|
8.33 |
Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field |
9 |
7 |
9 |
|
|
8.33 |
Learned super resolution ultrasound for improved breast lesion characterization |
8 |
8 |
9 |
|
|
8.33 |
Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning |
8 |
7 |
10 |
|
|
8.33 |
Quantitative Assessments for Ultrasound Probe Calibration |
9 |
9 |
7 |
|
|
8.33 |
Selective Learning from External Data for CT Image Segmentation |
8 |
9 |
8 |
|
|
8.33 |
Variational Topic Inference for Chest X-Ray Report Generation |
9 |
9 |
7 |
|
|
8.33 |
Conditional Deformable Image Registration with Convolutional Neural Network |
9 |
7 |
8 |
|
|
8.00 |
Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images |
8 |
8 |
8 |
|
|
8.00 |
Controllable cardiac synthesis via disentangled anatomy arithmetic |
8 |
8 |
8 |
|
|
8.00 |
Demystifying T1-MRI to FDG18-PET Image Translation via Representational Similarity |
6 |
10 |
8 |
|
|
8.00 |
Efficient and Generic Interactive Segmentation Framework to Correct Mispredictions during Clinical Evaluation of Medical Images |
6 |
9 |
9 |
|
|
8.00 |
Federated Contrastive Learning for Volumetric Medical Image Segmentation |
8 |
8 |
8 |
|
|
8.00 |
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation |
7 |
8 |
9 |
|
|
8.00 |
Identifying Quantitative and Explanatory Tumor Indexes from Dynamic Contrast Enhanced Ultrasound |
8 |
8 |
8 |
|
|
8.00 |
Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration |
8 |
8 |
8 |
|
|
8.00 |
Quality-Aware Memory Network for Interactive Volumetric Image Segmentation |
9 |
8 |
7 |
|
|
8.00 |
Training Automatic View Planner for Cardiac MR Imaging via Self-Supervision by Spatial Relationship between Views |
6 |
9 |
9 |
|
|
8.00 |
TransPath: Transformer-based Self-supervised Learning for Histopathological Image Classification |
7 |
8 |
9 |
|
|
8.00 |
Weakly supervised pan-cancer segmentation tool |
7 |
9 |
8 |
|
|
8.00 |
C-arm positioning for spinal standard projections in different intra-operative settings |
8 |
8 |
8 |
7 |
|
7.75 |
Distortion Energy for Deep Learning-based Volumetric Finite Element Mesh Generation for Aortic Valves |
8 |
9 |
7 |
7 |
|
7.75 |
Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy |
8 |
8 |
6 |
9 |
|
7.75 |
Local Morphological Measures Confirm that Folding within Small Partitions of the Human Cortex Follows Universal Scaling Law |
9 |
7 |
8 |
7 |
|
7.75 |
A Deep Reinforced Tree-traversal Agent for Coronary Artery Centerline Extraction |
8 |
7 |
8 |
|
|
7.67 |
AMINN: Autoencoder-based Multiple Instance Neural Network Improves Outcome Prediction of Multifocal Liver Metastases |
9 |
5 |
9 |
|
|
7.67 |
DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image |
9 |
5 |
9 |
|
|
7.67 |
End-to-end Ultrasound Frame to Volume Registration |
7 |
8 |
8 |
|
|
7.67 |
FoldIt: Haustral Folds Detection and Segmentation in Colonoscopy Videos |
8 |
8 |
7 |
|
|
7.67 |
High-particle simulation of Monte-Carlo dose distribution with 3D ConvLSTMs |
8 |
6 |
9 |
|
|
7.67 |
High-Resolution Hierarchical Adversarial Learning for OCT Speckle Noise Reduction |
9 |
8 |
6 |
|
|
7.67 |
Learning Visual Features by Colorization for Slide-Consistent Survival Prediction from Whole Slide Images |
6 |
8 |
9 |
|
|
7.67 |
Learning-based attenuation quantification in abdominal ultrasound |
8 |
7 |
8 |
|
|
7.67 |
LG-Net: Lesion Gate Network for Multiple Sclerosis Lesion Inpainting |
9 |
8 |
6 |
|
|
7.67 |
Multi-Task, Multi-Domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets |
9 |
8 |
6 |
|
|
7.67 |
nnDetection: A Self-configuring Method for Medical Object Detection |
8 |
9 |
6 |
|
|
7.67 |
Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network |
6 |
8 |
9 |
|
|
7.67 |
One-Shot Medical Landmark Detection |
8 |
8 |
7 |
|
|
7.67 |
Personalized CT Organ Dose Estimation from Scout Images |
8 |
8 |
7 |
|
|
7.67 |
Progressively Normalized Self-Attention Network for Video Polyp Segmentation |
7 |
7 |
9 |
|
|
7.67 |
Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting |
7 |
8 |
8 |
|
|
7.67 |
Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline |
6 |
8 |
9 |
|
|
7.67 |
RLP-Net: Recursive Light Propagation Network for 3-D Virtual Refocusing |
7 |
9 |
7 |
|
|
7.67 |
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network |
6 |
8 |
9 |
|
|
7.67 |
Self-supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging |
7 |
8 |
8 |
|
|
7.67 |
Self-Supervised Longitudinal Neighbourhood Embedding |
8 |
7 |
8 |
|
|
7.67 |
Self-supervised visual representation learning for histopathological images |
7 |
9 |
7 |
|
|
7.67 |
Targeted Gradient Descent: A Novel Method for Convolutional Neural Networks Fine-tuning and Online-learning |
6 |
8 |
9 |
|
|
7.67 |
Towards Efficient Human-Machine Collaboration: Real-Time Correction Effort Prediction for Ultrasound Data Acquisition |
9 |
6 |
8 |
|
|
7.67 |
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss |
9 |
7 |
7 |
|
|
7.67 |
FedPerl: Semi-Supervised Peer Learning for Skin Lesion Classification |
9 |
6 |
|
|
|
7.50 |
Functional Magnetic Resonance Imaging data augmentation through conditional ICA |
10 |
8 |
5 |
7 |
|
7.50 |
Orthogonal Ensemble Networks for Biomedical Image Segmentation |
7 |
8 |
|
|
|
7.50 |
Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection |
6 |
9 |
|
|
|
7.50 |
Spectral Embedding Approximation and Descriptor Learning for Craniofacial Volumetric Image Correspondence |
9 |
7 |
8 |
6 |
|
7.50 |
Bounding Box Tightness Prior for Weakly Supervised Image Segmentation |
8 |
8 |
6 |
|
|
7.33 |
BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images |
8 |
9 |
5 |
|
|
7.33 |
Cardiac Transmembrane Potential Imaging with GCN Based Iterative Soft Threshold Network |
7 |
8 |
7 |
|
|
7.33 |
Chest Radiograph Disentanglement for COVID-19 Outcome Prediction |
8 |
8 |
6 |
|
|
7.33 |
Co-Generation and Segmentation for Generalized Surgical Instrument Segmentation on Unlabelled Data |
9 |
5 |
8 |
|
|
7.33 |
Conditional Training with Bounding Map for Universal Lesion Detection |
6 |
8 |
8 |
|
|
7.33 |
Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks |
8 |
6 |
8 |
|
|
7.33 |
Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor |
8 |
8 |
6 |
|
|
7.33 |
Culprit-Prune-Net: Efficient Continual Sequential Multi-Domain Learning with Application to Skin Lesion Classification |
7 |
7 |
8 |
|
|
7.33 |
DAE-GCN: Identifying Disease-Related Features for Disease Prediction |
8 |
6 |
8 |
|
|
7.33 |
Deep Open Snake Tracker for Vessel Tracing |
9 |
8 |
5 |
|
|
7.33 |
Deep Reinforcement Exemplar Learning for Annotation Refinement |
8 |
7 |
7 |
|
|
7.33 |
Estimation of High Frame Rate Digital Subtraction Angiography Sequences at Low Radiation Dose |
9 |
6 |
7 |
|
|
7.33 |
Estimation of spontaneous neuronal activity using homomorphic filtering |
8 |
8 |
6 |
|
|
7.33 |
Explainable Classification of Weakly Annotated Wireless Capsule Endoscopy Images based on a Fuzzy Bag-of-Colour Features Model and Brain Storm Optimization |
7 |
8 |
7 |
|
|
7.33 |
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching |
8 |
5 |
9 |
|
|
7.33 |
Few-shot Transfer Learning for Hereditary Retinal Diseases Recognition |
8 |
8 |
6 |
|
|
7.33 |
Focusing on Clinically Interpretable Features: Selective Attention Regularization for Liver Biopsy Image Classification |
9 |
7 |
6 |
|
|
7.33 |
Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis |
8 |
6 |
8 |
|
|
7.33 |
Hybrid Aggregation Network for Survival Analysis from Whole Slide Histopathological Images |
8 |
7 |
7 |
|
|
7.33 |
Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image Segmentation |
8 |
8 |
6 |
|
|
7.33 |
Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling |
5 |
9 |
8 |
|
|
7.33 |
LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR Images |
7 |
6 |
9 |
|
|
7.33 |
Learning Unsupervised Parameter-specific Affine Transformation for Medical Images Registration |
7 |
6 |
9 |
|
|
7.33 |
Linear Prediction Residual for Efficient Diagnosis of Parkinson's Disease from Gait |
8 |
7 |
7 |
|
|
7.33 |
Local-global Dual Perception based Deep Multiple Instance Learning for Retinal Disease Classification |
8 |
7 |
7 |
|
|
7.33 |
MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification |
7 |
7 |
8 |
|
|
7.33 |
MouseGAN: GAN-Based Multiple MRI Modalities Synthesis and Segmentation for Mouse Brain Structures |
8 |
8 |
6 |
|
|
7.33 |
Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting |
8 |
7 |
7 |
|
|
7.33 |
Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification |
8 |
6 |
8 |
|
|
7.33 |
Positional Contrastive Learning for Volumetric Medical Image Segmentation |
7 |
8 |
7 |
|
|
7.33 |
Seg4Reg+: A Local and Global ConsistencyLearning between Spine Segmentation and CobbAngle Regression |
7 |
7 |
8 |
|
|
7.33 |
SSLP: Spatial Guided Self-supervised Learning on Pathological Images |
6 |
8 |
8 |
|
|
7.33 |
STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning |
8 |
7 |
7 |
|
|
7.33 |
Surgical Instruction Generation with Transformers |
9 |
4 |
9 |
|
|
7.33 |
Text2Brain: Synthesis of Brain Activation Maps from Free-form Text Query |
8 |
8 |
6 |
|
|
7.33 |
Using Multiple Images and Contours for Deformable 3D-2D Registration of a Preoperative CT in Laparoscopic Liver Surgery |
7 |
6 |
9 |
|
|
7.33 |
3D Brain Midline Delineation for Hematoma Patients |
8 |
8 |
5 |
|
|
7.00 |
4D-CBCT Registration with a FBCT-derived Plug-and-Play Feasibility Regularizer |
8 |
7 |
6 |
|
|
7.00 |
A Data-driven Approach for High Frame Rate Synthetic Transmit Aperture Ultrasound Imaging |
6 |
6 |
9 |
|
|
7.00 |
A Line to Align: Deep Dynamic Time Warping for Retinal OCT Segmentation |
8 |
6 |
|
|
|
7.00 |
Accounting for Dependencies in Deep Learning based Multiple Instance Learning for Whole Slide Imaging |
5 |
8 |
8 |
|
|
7.00 |
Accurate parameter estimation in fetal diffusion-weighted MRI - learning from fetal and newborn data |
8 |
5 |
8 |
|
|
7.00 |
Active Cortex Tractography |
8 |
7 |
6 |
|
|
7.00 |
Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation |
8 |
4 |
9 |
|
|
7.00 |
Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning |
4 |
8 |
9 |
|
|
7.00 |
Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap |
9 |
6 |
6 |
|
|
7.00 |
Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification |
8 |
7 |
6 |
|
|
7.00 |
Coarse-to-fine Segmentation of Organs at Risk in Nasopharyngeal Carcinoma Radiotherapy |
8 |
7 |
6 |
|
|
7.00 |
Co-Graph Attention Reasoning based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction |
8 |
7 |
6 |
|
|
7.00 |
Collaborative Image Synthesis and Disease Diagnosis for Classification of Neurodegenerative Disorders with Incomplete Multi-modal Neuroimages |
9 |
3 |
9 |
|
|
7.00 |
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation |
7 |
7 |
7 |
|
|
7.00 |
Data Augmentation in Logit Space for Medical Image Classification with Limited Training Data |
8 |
8 |
5 |
|
|
7.00 |
Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation |
9 |
8 |
4 |
|
|
7.00 |
Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization |
4 |
9 |
8 |
|
|
7.00 |
Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning |
6 |
8 |
6 |
8 |
|
7.00 |
Disentangled and Proportional Representation Learning for Multi-View Brain Connectomes |
6 |
9 |
6 |
|
|
7.00 |
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images |
7 |
6 |
8 |
|
|
7.00 |
EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis |
9 |
8 |
4 |
|
|
7.00 |
EMDQ-SLAM: Real-time High-resolution Reconstruction of Soft Tissue Surface from Stereo Laparoscopy Videos |
9 |
4 |
8 |
|
|
7.00 |
Energy-Based Supervised Hashing for Multimorbidity Image Retrieval |
7 |
7 |
7 |
|
|
7.00 |
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation |
7 |
8 |
6 |
|
|
7.00 |
Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects |
7 |
7 |
7 |
|
|
7.00 |
Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation |
5 |
7 |
9 |
|
|
7.00 |
Improving hexahedral-FEM-based plasticity in surgery simulation |
5 |
7 |
9 |
|
|
7.00 |
Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports |
6 |
8 |
7 |
|
|
7.00 |
InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction |
5 |
8 |
7 |
8 |
|
7.00 |
Interpretable deep learning for multimodal super-resolution of medical images |
6 |
9 |
6 |
|
|
7.00 |
Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation |
9 |
7 |
5 |
|
|
7.00 |
Joint Spinal Centerline Extraction and Curvature Estimation with Row-wise Classification and Curve Graph Network |
8 |
4 |
9 |
|
|
7.00 |
Learning Consistency- and Discrepancy-Context for 2D Organ Segmentation |
6 |
7 |
8 |
|
|
7.00 |
Learning Dual Transformer Network for Diffeomorphic Registration |
8 |
8 |
5 |
|
|
7.00 |
Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings |
6 |
7 |
8 |
|
|
7.00 |
Lesion-based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images |
8 |
6 |
7 |
|
|
7.00 |
Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection |
8 |
7 |
6 |
|
|
7.00 |
Longitudinal Correlation Analysis for Decoding Multi-Modal Brain Development |
6 |
8 |
7 |
|
|
7.00 |
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective |
5 |
8 |
8 |
|
|
7.00 |
mfTrans-Net: Quantitative Measurement of Hepatocellular Carcinoma via Multi-Function Transformer Regression Network |
7 |
10 |
4 |
|
|
7.00 |
MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors |
7 |
8 |
6 |
|
|
7.00 |
Multi-Compound Transformer for Accurate Biomedical Image Segmentation |
6 |
7 |
8 |
|
|
7.00 |
Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network |
7 |
6 |
8 |
|
|
7.00 |
Multi-modal Multi-instance Learning using Weakly Correlated Histopathological Images and Tabular Clinical Information |
9 |
5 |
7 |
|
|
7.00 |
Multi-view analysis of unregistered medical images using cross-view transformers |
8 |
7 |
6 |
|
|
7.00 |
Multi-View Surgical Video Action Detection via Mixed Global View Attention |
8 |
7 |
6 |
|
|
7.00 |
Noise Mapping and Removal in Complex-Valued Multi-Channel MRI via Optimal Shrinkage of Singular Values |
7 |
5 |
9 |
|
|
7.00 |
Non-parametric vignetting correction for sparse spatial transcriptomics images |
7 |
9 |
5 |
|
|
7.00 |
NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale |
7 |
8 |
6 |
|
|
7.00 |
On the relationship between calibrated predictors and unbiased volume estimation |
8 |
8 |
5 |
|
|
7.00 |
Parallel Capsule Networks for Classification of White Blood Cells |
6 |
6 |
9 |
|
|
7.00 |
Predicting Symptoms from Multiphasic MRI via Multi-Instance Attention Learning for Hepatocellular Carcinoma Grading |
5 |
8 |
8 |
|
|
7.00 |
Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-Ray for COVID19 |
5 |
9 |
7 |
|
|
7.00 |
Recurrent Multigraph Integrator Network for Predicting the Evolution of Population-Driven Brain Connectivity Templates |
7 |
5 |
9 |
|
|
7.00 |
SA-GAN: Structure-Aware GAN for Organ-Preserving Synthetic CT Generation |
7 |
8 |
6 |
|
|
7.00 |
Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data |
6 |
6 |
9 |
|
|
7.00 |
SegRecon: Learning Joint Brain Surface Reconstruction and Segmentation from Images |
6 |
8 |
7 |
|
|
7.00 |
Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction |
8 |
6 |
7 |
|
|
7.00 |
Self-Supervised Vessel Enhancement Using Flow-Based Consistencies |
7 |
6 |
8 |
|
|
7.00 |
Semantic Consistent Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation |
8 |
8 |
5 |
|
|
7.00 |
Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images |
8 |
7 |
6 |
|
|
7.00 |
Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation |
7 |
7 |
7 |
|
|
7.00 |
SGNet: Structure-aware Graph-based Network for Airway Semantic Segmentation |
8 |
6 |
7 |
|
|
7.00 |
SpineGEM: A Hybrid-Supervised Model Generation Strategy Enabling Accurate Spine Disease Classification with a Small Training Dataset |
8 |
6 |
7 |
|
|
7.00 |
Supervised Contrastive Pre-Training for Mammographic Triage Screening Models |
6 |
7 |
8 |
|
|
7.00 |
TarGAN: Target-Aware Generative Adversarial Networks for Multi-modality Medical Image Translation |
7 |
6 |
8 |
|
|
7.00 |
Task Fingerprinting for Meta Learning in Biomedical Image Analysis |
8 |
8 |
5 |
|
|
7.00 |
Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction |
7 |
7 |
7 |
|
|
7.00 |
Topological Receptive Field Model for Human Retinotopic Mapping |
7 |
8 |
6 |
7 |
|
7.00 |
Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures |
5 |
9 |
7 |
|
|
7.00 |
Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer |
9 |
7 |
5 |
|
|
7.00 |
Universal Undersampled MRI Reconstruction |
8 |
5 |
8 |
|
|
7.00 |
USCL: Pretraining Deep Ultrasound Image Diagnosis Model through Video Contrastive Representation Learning |
8 |
6 |
7 |
|
|
7.00 |
VertNet: Accurate Vertebra Localization and Identification Network from CT Images |
9 |
6 |
6 |
|
|
7.00 |
SPARTA: An Integrated Stability, Discriminability, and Sparsity based Radiomic Feature Selection Approach |
8 |
7 |
7 |
6 |
6 |
6.80 |
3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training |
8 |
7 |
7 |
5 |
|
6.75 |
CA-Net: Leveraging Contextual Features for Lung Cancer Prediction |
8 |
7 |
6 |
6 |
|
6.75 |
Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Video |
6 |
7 |
8 |
6 |
|
6.75 |
Equivariant Filters for Efficient Tracking in 3D Imaging |
4 |
8 |
9 |
6 |
|
6.75 |
Interhemispheric functional connectivity in the primary motor cortex distinguishes between training on a physical and a virtual surgical simulator |
7 |
5 |
9 |
6 |
|
6.75 |
Observational Supervision for Medical Image Classification using Gaze Data |
8 |
3 |
7 |
9 |
|
6.75 |
Quantifying structural connectivity in brain tumor patients |
7 |
8 |
8 |
4 |
|
6.75 |
3D Graph-S2Net: Shape-Aware Self-Ensembling Network for Semi-Supervised Segmentation with Bilateral Graph Convolution |
4 |
8 |
8 |
|
|
6.67 |
A Deep Network for Joint Registration and Parcellation of Cortical Surfaces |
5 |
9 |
6 |
|
|
6.67 |
A Location Constrained Dual-branch Network for Reliable Diagnosis of Jaw Tumors and Cysts |
8 |
7 |
5 |
|
|
6.67 |
A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis |
7 |
6 |
7 |
|
|
6.67 |
A Multi-Branch Hybrid Transformer Network for Corneal Endothelial Cell Segmentation |
6 |
5 |
9 |
|
|
6.67 |
Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation |
5 |
7 |
8 |
|
|
6.67 |
Adaptive Squeeze-and-Shrink Image Denoising for Improving Deep Detection of Cerebral Microbleeds |
5 |
9 |
6 |
|
|
6.67 |
Airway Anomaly Detection by Graph Neural Network |
7 |
6 |
7 |
|
|
6.67 |
An Interpretable Approach to Automated Severity Scoring in Pelvic Trauma |
5 |
9 |
6 |
|
|
6.67 |
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray |
8 |
7 |
5 |
|
|
6.67 |
Automatic Polyp Segmentation via Multi-scale Subtraction Network |
4 |
8 |
8 |
|
|
6.67 |
Bayesian Atlas Building with Hierarchical Priors for Subject-specific Regularization |
8 |
9 |
3 |
|
|
6.67 |
Boundary-aware Transformers for Skin Lesion Segmentation |
4 |
8 |
8 |
|
|
6.67 |
Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis |
6 |
6 |
8 |
|
|
6.67 |
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation |
7 |
4 |
9 |
|
|
6.67 |
CCBANet: Cascading Context and Balancing Attention for Polyp Segmentation |
8 |
7 |
5 |
|
|
6.67 |
Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform |
9 |
5 |
6 |
|
|
6.67 |
Confidence-aware Cascaded Network for Fetal Brain Segmentation on MR Images |
6 |
8 |
6 |
|
|
6.67 |
Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases based on Deep Learning |
5 |
7 |
8 |
|
|
6.67 |
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation |
5 |
7 |
8 |
|
|
6.67 |
Cost-Sensitive Meta-Learning for Progress Prediction of Subjective Cognitive Decline with Brain Structural MRI |
4 |
8 |
8 |
|
|
6.67 |
CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Chamber Segmentation |
5 |
6 |
9 |
|
|
6.67 |
Deformed2Self: Self-Supervised Denoising for Dynamic Medical Imaging |
7 |
5 |
8 |
|
|
6.67 |
Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold |
6 |
8 |
6 |
|
|
6.67 |
Detecting Outliers with Poisson Image Interpolation |
6 |
7 |
7 |
|
|
6.67 |
Efficient Semi-Supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency |
5 |
7 |
8 |
|
|
6.67 |
Facial and cochlear nerves characterization using deep reinforcement learning for landmark detection |
8 |
6 |
6 |
|
|
6.67 |
Few Trust Data Guided Annotation Refinement for Upper Gastrointestinal Anatomy Recognition |
7 |
6 |
7 |
|
|
6.67 |
Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation |
5 |
7 |
8 |
|
|
6.67 |
Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms |
5 |
7 |
8 |
|
|
6.67 |
Hybrid graph convolutional neural networks for anatomical segmentation |
7 |
8 |
5 |
|
|
6.67 |
Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations |
6 |
8 |
6 |
|
|
6.67 |
Interactive segmentation via deep learning and B-spline explicit active surfaces |
7 |
8 |
5 |
|
|
6.67 |
Intra-operative Update of Boundary Conditions for Patient-specific Surgical Simulation |
8 |
8 |
4 |
|
|
6.67 |
IREM: High-Resolution Magnetic Resonance Image Reconstruction via Implicit Neural Representation |
8 |
5 |
7 |
|
|
6.67 |
Joint PVL Detection and Manual Ability Classification using Semi-Supervised Multi-task Learning |
8 |
3 |
9 |
|
|
6.67 |
Labels-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation |
7 |
8 |
5 |
|
|
6.67 |
Learnable Oriented-Derivative Network for Polyp Segmentation |
7 |
8 |
5 |
|
|
6.67 |
Learning 4D Infant Cortical Surface Atlas with Unsupervised Spherical Networks |
7 |
8 |
5 |
|
|
6.67 |
Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network |
4 |
8 |
8 |
|
|
6.67 |
Learning with Noise: Mask-guided Attention Model for Weakly Supervised Nuclei Segmentation |
5 |
7 |
8 |
|
|
6.67 |
MBFF-Net: Multi-Branch Feature Fusion Network for Carotid Plaque Segmentation in Ultrasound |
6 |
7 |
7 |
|
|
6.67 |
Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation |
7 |
5 |
8 |
|
|
6.67 |
Multi-level Relationship Capture Network for Automated Skin Lesion Recognition |
7 |
4 |
9 |
|
|
6.67 |
Multi-scale Neural ODEs for 3D Medical Image Registration |
9 |
5 |
6 |
|
|
6.67 |
Multi-site Incremental Image Quality Assessment of Structural MRI via Consensus Adversarial Representation Adaptation |
10 |
6 |
4 |
|
|
6.67 |
Neighbor Matching for Semi-supervised Learning |
8 |
7 |
5 |
|
|
6.67 |
Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation |
6 |
7 |
7 |
|
|
6.67 |
Non-invasive Assessment of Hepatic Venous Pressure Gradient (HVPG) Based on MR Flow Imaging and Computational Fluid Dynamics |
8 |
4 |
8 |
|
|
6.67 |
Personalized Matching and Analysis of Cortical Folding Patterns via Patch-Based Intrinsic Brain Mapping |
5 |
6 |
9 |
|
|
6.67 |
Rapid treatment planning for low-dose-rate prostate brachytherapy with TP-GAN |
6 |
7 |
7 |
|
|
6.67 |
Real-Time Rotated Convolutional Descriptor for Surgical Environments |
9 |
3 |
8 |
|
|
6.67 |
Revisiting contour-driven and knowledge-based deformable models: application to 2D-3D proximal femur reconstruction from X-ray images |
5 |
8 |
7 |
|
|
6.67 |
Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework |
4 |
9 |
7 |
|
|
6.67 |
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining |
9 |
6 |
5 |
|
|
6.67 |
Sharpening Local Interpretable Model-agnostic Explanations for Histopathology: Improved Understandability and Reliability |
6 |
8 |
6 |
|
|
6.67 |
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images |
8 |
4 |
8 |
|
|
6.67 |
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling |
7 |
6 |
7 |
|
|
6.67 |
Stain Mix-up: Unsupervised Domain Generalization for Histopathology Images |
6 |
6 |
8 |
|
|
6.67 |
Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation |
8 |
5 |
7 |
|
|
6.67 |
SyNCCT: Synthetic Non-Contrast Images of the Brain from Single-Energy Computed Tomography Angiography |
5 |
6 |
9 |
|
|
6.67 |
TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations |
7 |
6 |
7 |
|
|
6.67 |
Tensor-based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-state fMRI |
6 |
8 |
6 |
|
|
6.67 |
Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution |
8 |
4 |
8 |
|
|
6.67 |
Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading |
7 |
6 |
7 |
|
|
6.67 |
TVnet: Automated Time-Resolved Tracking of the Tricuspid Valve Plane in MRI Long-Axis Cine Images with a Dual-Stage Deep Learning Pipeline |
7 |
7 |
6 |
|
|
6.67 |
Uncertainty-Guided Progressive GANs for Medical Image Translation |
7 |
6 |
7 |
|
|
6.67 |
Unsupervised Contrastive Learning of Radiomics and Deep Features for Label-Efficient Tumor Classification |
5 |
6 |
9 |
|
|
6.67 |
Weakly-Supervised Ultrasound Video Segmentation with Minimal Annotations |
7 |
6 |
7 |
|
|
6.67 |
Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification |
4 |
6 |
9 |
8 |
6 |
6.60 |
2D Histology Meets 3D Topology: Cytoarchitectonic Brain Mapping with Graph Neural Networks |
7 |
4 |
8 |
7 |
|
6.50 |
Dual-Domain Adaptive-Scaling Non-Local Network for CT Metal Artifact Reduction |
9 |
7 |
3 |
7 |
|
6.50 |
EndoUDA: A modality independent segmentation approach for endoscopy imaging |
9 |
6 |
4 |
7 |
|
6.50 |
LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN model of Infiltrates for COVID-19 Prognosis |
9 |
5 |
6 |
6 |
|
6.50 |
Residual Feedback Network for Breast Lesion Segmentation in Ultrasound Image |
8 |
5 |
7 |
6 |
|
6.50 |
Surface-Guided Image Fusion for Preserving Cortical Details in Human Brain Templates |
6 |
6 |
8 |
6 |
|
6.50 |
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification |
6 |
8 |
4 |
8 |
|
6.50 |
2.5D Thermometry Maps for MRI-guided Tumor Ablation |
7 |
5 |
7 |
|
|
6.33 |
4D-Foot: A fully automated pipeline of four-dimensional analysis of the foot bones using bi-plane X-ray video and CT |
7 |
7 |
5 |
|
|
6.33 |
A new Approach to Orthopedic Surgery Planning using Deep Reinforcement Learning and Simulation |
8 |
7 |
4 |
|
|
6.33 |
A Segmentation-Assisted Model for Universal Lesion Detection with Partial Labels |
6 |
6 |
7 |
|
|
6.33 |
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation |
9 |
3 |
7 |
|
|
6.33 |
A spherical convolutional neural network for white matter structure imaging via diffusion MRI |
5 |
6 |
8 |
|
|
6.33 |
A Structural Causal Model MR Images of Multiple Sclerosis |
8 |
3 |
8 |
|
|
6.33 |
Acoustic-based Spatio-temporal Learning for Press-fit Evaluation of Femoral Stem Implants |
4 |
8 |
7 |
|
|
6.33 |
Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation |
8 |
6 |
5 |
|
|
6.33 |
AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generation |
6 |
5 |
8 |
|
|
6.33 |
Alleviating Data Imbalance Issue with Perturbed Input during Inference |
8 |
4 |
7 |
|
|
6.33 |
ASC-Net: Adversarial-based Selective Network for Unsupervised Anomaly Segmentation |
4 |
7 |
8 |
|
|
6.33 |
Asymmetric 3D Context Fusion for Universal Lesion Detection |
6 |
7 |
6 |
|
|
6.33 |
Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms |
5 |
8 |
6 |
|
|
6.33 |
Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction |
7 |
5 |
7 |
|
|
6.33 |
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions |
5 |
7 |
7 |
|
|
6.33 |
BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation |
7 |
9 |
3 |
|
|
6.33 |
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification |
8 |
4 |
7 |
|
|
6.33 |
DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images |
4 |
8 |
7 |
|
|
6.33 |
Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology, Pathology, Genomic, and Clinical Data |
5 |
7 |
7 |
|
|
6.33 |
Deep-Cleansing: Deep-learning based Electronic Cleansing in Dual-energy CT Colonography |
6 |
6 |
7 |
|
|
6.33 |
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search |
5 |
7 |
7 |
|
|
6.33 |
Determination of error in 3D CT to 2D fluoroscopy image registration for endobronchial guidance |
4 |
6 |
9 |
|
|
6.33 |
Distinguishing Differences Matters: Focal Contrastive Network for Peripheral Anterior Synechiae Recognition |
7 |
6 |
6 |
|
|
6.33 |
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation |
8 |
6 |
5 |
|
|
6.33 |
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning |
5 |
6 |
8 |
|
|
6.33 |
Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation |
5 |
6 |
8 |
|
|
6.33 |
Early Detection of Liver Fibrosis Using Graph Convolutional Networks |
6 |
7 |
6 |
|
|
6.33 |
E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception |
6 |
6 |
7 |
|
|
6.33 |
Efficient neural network approximation of robust PCA for automated analysis of calcium imaging data |
9 |
6 |
4 |
|
|
6.33 |
End-to-end Ugly Duckling Sign Detection for Melanoma Identification with Transformers |
5 |
8 |
6 |
|
|
6.33 |
Enhanced Breast Lesion Classification via Knowledge Guided Cross-Modal and Semantic Data Augmentation |
8 |
4 |
7 |
|
|
6.33 |
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features |
7 |
4 |
8 |
|
|
6.33 |
Exploring the Functional Difference of Gyri/Sulci via Hierarchical Interpretable Autoencoder |
7 |
6 |
6 |
|
|
6.33 |
Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation |
6 |
4 |
9 |
|
|
6.33 |
Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction |
6 |
5 |
8 |
|
|
6.33 |
Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures |
7 |
5 |
7 |
|
|
6.33 |
Few-Shot Domain Adaptation with Polymorphic Transformers |
5 |
6 |
8 |
|
|
6.33 |
Fighting Class Imbalance with Contrastive Learning |
6 |
9 |
4 |
|
|
6.33 |
Flip Learning: Erase to Segment |
5 |
6 |
8 |
|
|
6.33 |
GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference |
7 |
5 |
7 |
|
|
6.33 |
Graph Transformers for Characterization and Interpretation of Surgical Margins |
8 |
5 |
6 |
|
|
6.33 |
Highly Reproducible Whole Brain Parcellation in Individuals via Voxel Annotation with Fiber Clusters |
5 |
6 |
8 |
|
|
6.33 |
HRENet: A Hard Region Enhancement Network for Polyp Segmentation |
6 |
7 |
6 |
|
|
6.33 |
Hybrid Supervision Learning for Whole Slide Image Classification |
8 |
4 |
7 |
|
|
6.33 |
Image-based Incision Detection for Topological Intraoperative 3D Model Update in Augmented Reality Assisted Laparoscopic Surgery |
6 |
4 |
9 |
|
|
6.33 |
Implicit field learning for unsupervised anomaly detection in medical images |
6 |
7 |
6 |
|
|
6.33 |
Improving the Explainability of Skin Cancer Diagnosis Using CBIR |
6 |
9 |
4 |
|
|
6.33 |
Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image |
6 |
5 |
8 |
|
|
6.33 |
Interactive smoothing parameter optimization in DBT Reconstruction using Deep learning |
5 |
6 |
8 |
|
|
6.33 |
Intracerebral Haemorrhage Growth Prediction Based on Displacement Vector Field and Clinical Metadata |
8 |
7 |
4 |
|
|
6.33 |
I-SECRET: Importance-guided fundus image enhancement via semi-supervised contrastive constraining |
7 |
5 |
7 |
|
|
6.33 |
Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy |
8 |
5 |
6 |
|
|
6.33 |
Learning Neuron Stitching for Connectomics |
7 |
9 |
3 |
|
|
6.33 |
Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs |
7 |
8 |
4 |
|
|
6.33 |
Longitudinal self-supervision to disentangle inter-patient variability from disease progression |
6 |
6 |
7 |
|
|
6.33 |
MASC-Units: Training Oriented Filters for Segmenting Curvilinear Structures |
5 |
6 |
8 |
|
|
6.33 |
Medical Matting: A New Perspective on Medical Segmentation with Uncertainty |
9 |
3 |
7 |
|
|
6.33 |
MetaCon: Meta Contrastive Learning for Microsatellite Instability Detection |
6 |
5 |
8 |
|
|
6.33 |
Meta-Modulation Network for Domain Generalization in Multi-site fMRI Classification |
6 |
7 |
6 |
|
|
6.33 |
Motion Correction for Liver DCE-MRI with Time-Intensity Curve Constraint |
6 |
7 |
6 |
|
|
6.33 |
M-SEAM-NAM: Multi-instance Self-supervised Equivalent Attention Mechanism with Neighborhood Affinity Module for Double Weakly Supervised Segmentation of COVID-19 |
3 |
8 |
8 |
|
|
6.33 |
MT-UDA: Towards Unsupervised Cross-Modality Medical Image Segmentation with Limited Source Labels |
8 |
5 |
6 |
|
|
6.33 |
Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation |
7 |
6 |
6 |
|
|
6.33 |
Multi-Head GAGNN: A Multi-Head Guided Attention Graph Neural Network for Modeling Spatio-Temporal Patterns of Holistic Brain Functional Networks |
7 |
7 |
5 |
|
|
6.33 |
Multimodal MRI Acceleration via Deep Cascading Networks with Peer-layer-wise Dense Connections |
3 |
9 |
7 |
|
|
6.33 |
Multimodal Multitask Deep Learning for X-Ray Image Retrieval |
4 |
7 |
8 |
|
|
6.33 |
Multimodal Representation Learning via Maximization of Local Mutual Information |
7 |
6 |
6 |
|
|
6.33 |
OperA: Attention-Regularized Transformers for Surgical Phase Recognition |
7 |
8 |
4 |
|
|
6.33 |
Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels |
7 |
5 |
7 |
|
|
6.33 |
Over-and-Under Complete Convolutional RNN for MRI Reconstruction |
4 |
7 |
8 |
|
|
6.33 |
Perceptual Quality Assessment of Chest Radiograph |
6 |
8 |
5 |
|
|
6.33 |
POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring |
3 |
8 |
8 |
|
|
6.33 |
Predicting Esophageal Fistula Risks Using a Multimodal Self-Attention Network |
6 |
5 |
8 |
|
|
6.33 |
Prototypical Interaction Graph for Unsupervised Domain Adaptation in Surgical Instrument Segmentation |
6 |
7 |
6 |
|
|
6.33 |
Radiomics-informed Deep Curriculum Learning for Breast Cancer Diagnosis |
9 |
7 |
3 |
|
|
6.33 |
Ranking loss: A ranking-based deep neural network for colorectal cancer grading in pathology images |
8 |
4 |
7 |
|
|
6.33 |
RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting |
7 |
4 |
8 |
|
|
6.33 |
Region Ensemble Network for MCI Conversion Prediction With a Relation Regularized Loss |
5 |
7 |
7 |
|
|
6.33 |
ReSGAN: Intracranial Hemorrhage Segmentation with Residuals of Synthetic Brain CT Scans |
6 |
6 |
7 |
|
|
6.33 |
SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings |
7 |
4 |
8 |
|
|
6.33 |
SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation |
5 |
7 |
7 |
|
|
6.33 |
Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms |
6 |
6 |
7 |
|
|
6.33 |
Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation |
5 |
7 |
7 |
|
|
6.33 |
Semi-supervised Contrastive Learning for Label-efficient Medical Image Segmentation |
6 |
6 |
7 |
|
|
6.33 |
Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation |
5 |
7 |
7 |
|
|
6.33 |
Sequential Gaussian Process Regression for Simultaneous Pathology Detection and Shape Reconstruction |
4 |
7 |
8 |
|
|
6.33 |
Sequential Lung Nodule Synthesis using Attribute-guided Generative Adversarial Networks |
5 |
6 |
8 |
|
|
6.33 |
Shallow Attention Network for Polyp Segmentation |
7 |
8 |
4 |
|
|
6.33 |
Spine-Transformers: Vertebra Detection and Localization in Arbitrary Field-of-View Spine CT with Transformers |
6 |
4 |
9 |
|
|
6.33 |
Stochastic 4D Flow Vector-Field Signatures: A new approach for comprehensive 4D Flow MRI quantification |
4 |
7 |
8 |
|
|
6.33 |
Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations |
4 |
8 |
7 |
|
|
6.33 |
Style Curriculum Learning for Robust Medical Image Segmentation |
9 |
6 |
4 |
|
|
6.33 |
Style Transfer Using Generative Adversarial Networks for Multi-Site MRI Harmonization |
6 |
9 |
4 |
|
|
6.33 |
Surgical Workflow Anticipation using Instrument Interaction |
2 |
9 |
8 |
|
|
6.33 |
Task-Oriented Low-Dose CT Image Denoising |
6 |
8 |
5 |
|
|
6.33 |
Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models |
6 |
7 |
6 |
|
|
6.33 |
Tripled-uncertainty Guided Mean Teacher model for Semi-supervised Medical Image Segmentation |
4 |
7 |
8 |
|
|
6.33 |
Uncertainty-Aware Label Rectification for Domain Adaptive Mitochondria Segmentation |
5 |
8 |
6 |
|
|
6.33 |
Using Causal Analysis for Conceptual Deep Learning Explanation |
5 |
8 |
6 |
|
|
6.33 |
Weakly Supervised Registration of Prostate MRI and Histopathology Images |
7 |
6 |
6 |
|
|
6.33 |
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks |
6 |
6 |
7 |
|
|
6.33 |
A Neural Framework for Multi-Variable Lesion Quantification Through B-mode Style Transfer |
4 |
9 |
7 |
5 |
|
6.25 |
Automating Embryo Development Stage Detection in Time-Lapse Imaging with Synergic Loss and Temporal Learning |
9 |
7 |
4 |
5 |
|
6.25 |
Semi-supervised Cell Detection in Time-lapse Images Using Temporal Consistency |
3 |
6 |
8 |
8 |
|
6.25 |
SurgeonAssist-Net: Towards Context-Aware Head-Mounted Display-Based Augmented Reality for Surgical Guidance |
5 |
7 |
8 |
5 |
|
6.25 |
3D Transformer-GAN for High-quality PET Reconstruction |
3 |
8 |
7 |
|
|
6.00 |
A Coherent Cooperative Learning Framework Based on Transfer Learning for Unsupervised Cross-domain Classification |
7 |
5 |
6 |
|
|
6.00 |
A Deep Learning Bidirectional Temporal Tracking Algorithm for Automated Blood Cell Counting from Non-invasive Capillaroscopy Videos |
6 |
6 |
6 |
|
|
6.00 |
A hybrid attention ensemble framework for zonal prostate segmentation |
5 |
6 |
7 |
|
|
6.00 |
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images |
8 |
7 |
3 |
|
|
6.00 |
A Topological-Attention ConvLSTM Network and Its Application to EM Images |
7 |
6 |
5 |
|
|
6.00 |
Acceleration by deep-learnt sharing of superfluous information in multi-contrast MRI |
2 |
9 |
7 |
|
|
6.00 |
ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities |
4 |
7 |
7 |
|
|
6.00 |
Adversarial learning of cancer tissue representations |
6 |
4 |
8 |
|
|
6.00 |
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth |
5 |
7 |
6 |
|
|
6.00 |
Annotation-efficient Cell Counting |
6 |
5 |
7 |
|
|
6.00 |
AutoFB: Automating Fetal Biometry Estimation from Standard Ultrasound Planes |
8 |
5 |
5 |
|
|
6.00 |
Automatic Path Planning for Safe Guide Pin Insertion in PCL Reconstruction Surgery |
6 |
5 |
7 |
|
|
6.00 |
Balanced-MixUp for highly imbalanced medical image classification |
6 |
5 |
7 |
|
|
6.00 |
Beyond Non-Maximum Suppression - Detecting Lesions in Digital Breast Tomosynthesis Volumes |
8 |
4 |
6 |
|
|
6.00 |
Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report Generation |
9 |
4 |
5 |
|
|
6.00 |
Combining Attention-based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection |
8 |
6 |
4 |
|
|
6.00 |
Contrastive Learning Based Stain Normalization Across Multiple Tumor Histopathology |
7 |
4 |
7 |
|
|
6.00 |
Contrastive Learning with Continuous Proxy Meta-Data For 3D MRI Classification |
6 |
6 |
6 |
|
|
6.00 |
Covariate Correcting Networks for Identifying Associations between Socioeconomic Factors and Brain Outcomes in Children |
7 |
9 |
2 |
|
|
6.00 |
Cross-domain Depth Estimation Network for 3D Vessel Reconstruction in OCT Angiography |
7 |
3 |
8 |
|
|
6.00 |
Deep Neural Dynamic Bayesian Networks applied to EEG sleep spindles modeling |
8 |
4 |
7 |
5 |
|
6.00 |
DeepMitral: Fully Automatic 3D Echocardiography Segmentation for Patient Specific Mitral Valve Modelling |
7 |
6 |
5 |
|
|
6.00 |
Depth Estimation for Colonoscopy Images with Self-supervised Learning from Videos |
6 |
5 |
7 |
|
|
6.00 |
Detection of critical structures in laparoscopic cholecystectomy using label relaxation and self-supervision |
6 |
6 |
6 |
|
|
6.00 |
DLLNet: An Attention-based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models |
4 |
7 |
7 |
|
|
6.00 |
Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers |
6 |
7 |
4 |
7 |
|
6.00 |
EllipseNet: Anchor-Free Ellipse Detection for Automatic Cardiac Biometrics in Fetal Echocardiography |
8 |
4 |
7 |
5 |
|
6.00 |
EMA: Auditing Data Removal from Trained Models |
6 |
7 |
5 |
|
|
6.00 |
From Pixel to Whole Slide: Automatic Detection of Microvascular Invasion in Hepatocellular Carcinoma on Histopathological Image via Cascaded Networks |
4 |
6 |
8 |
|
|
6.00 |
Fully Test-time Adaptation for Image Segmentation |
8 |
4 |
6 |
|
|
6.00 |
Generator Versus Segmentor: Pseudo-healthy Synthesis |
9 |
6 |
3 |
|
|
6.00 |
GQ-GCN: Group Quadratic Graph Convolutional Network for Classification of Histopathological Images |
6 |
5 |
7 |
|
|
6.00 |
Hepatocellular Carcinoma Segmentation from Digital Subtraction Angiography Videos using Learnable Temporal Difference |
7 |
7 |
4 |
|
|
6.00 |
High-resolution segmentation of lumbar vertebrae from conventional thick slice MRI |
7 |
3 |
8 |
|
|
6.00 |
Implicit Neural Distance Representation for Unsupervised and Supervised Classification of Complex Anatomies |
5 |
6 |
7 |
|
|
6.00 |
Instance-aware Feature Alignment for Cross-domain Cell Nuclei Detection in Histopathology Images |
4 |
6 |
8 |
|
|
6.00 |
Learnable Multi-scale Fourier Interpolation for Sparse View CT Image Reconstruction |
6 |
6 |
6 |
|
|
6.00 |
Learning to Address Intra-segment Misclassification in Retinal Imaging |
6 |
6 |
6 |
|
|
6.00 |
Medical Image Registration Based on Uncoupled Learning and Accumulative Enhancement |
6 |
5 |
7 |
|
|
6.00 |
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation |
7 |
4 |
7 |
|
|
6.00 |
Memory-efficient Learning for High-dimensional MRI Reconstruction |
5 |
7 |
6 |
|
|
6.00 |
MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis |
6 |
8 |
4 |
|
|
6.00 |
Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation |
6 |
5 |
7 |
|
|
6.00 |
Multiple Meta-model Quantifying for Medical Visual Question Answering |
6 |
7 |
5 |
|
|
6.00 |
OLVA: Optimal Latent Vector Alignment for Unsupervised Domain Adaptation in Medical Image Segmentation |
9 |
6 |
3 |
|
|
6.00 |
OXnet: Deep Omni-supervised Thoracic Disease Detection from Chest X-rays |
4 |
6 |
8 |
|
|
6.00 |
Partial-supervised Learning for Vessel Segmentation in Ocular Images |
5 |
4 |
9 |
|
|
6.00 |
Patient-specific virtual spine straightening and vertebra inpainting: An automatic framework for osteoplasty planning |
3 |
9 |
6 |
|
|
6.00 |
Personalized Respiratory Motion Model Using Conditional Generative Networks for MR-Guided Radiotherapy |
4 |
8 |
6 |
|
|
6.00 |
Phase-independent Latent Representation for Cardiac Shape Analysis |
4 |
6 |
8 |
|
|
6.00 |
Positive-unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations |
8 |
6 |
4 |
|
|
6.00 |
Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis |
5 |
7 |
6 |
|
|
6.00 |
Prototypical models for classifying high-risk atypical breast lesions |
9 |
5 |
4 |
|
|
6.00 |
Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI |
8 |
8 |
2 |
|
|
6.00 |
Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction |
7 |
5 |
6 |
|
|
6.00 |
RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans |
5 |
7 |
6 |
|
|
6.00 |
Scalable joint detection and segmentation of surgical instruments with weak supervision |
4 |
7 |
7 |
|
|
6.00 |
Self-Supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images |
7 |
6 |
5 |
|
|
6.00 |
Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images |
7 |
5 |
6 |
|
|
6.00 |
Semi-supervised Left Atrium Segmentation with Mutual Consistency Training |
5 |
8 |
5 |
|
|
6.00 |
SimTriplet: Simple Triplet Representation Learning with a Single GPU |
6 |
6 |
|
|
|
6.00 |
Sli2Vol: Annotate a 3D Volume from a Single Slice with Self-Supervised Learning |
4 |
8 |
|
|
|
6.00 |
Spatial Attention-based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains |
5 |
5 |
8 |
|
|
6.00 |
Survival Prediction Based on Histopathology Imaging and Clinical Data: A Novel, Whole Slide CNN Approach |
6 |
6 |
6 |
|
|
6.00 |
Synthesis of Contrast-enhanced Spectral Mammograms from Low-energy Mammograms Using cGAN-Based Synthesis Network |
3 |
8 |
7 |
|
|
6.00 |
Synthesizing Multi-Tracer PET Images for Alzheimer's Disease Patients using a 3D Unified Anatomy-aware Cyclic Adversarial Network |
5 |
6 |
7 |
|
|
6.00 |
Task Transformer Network for Joint MRI Reconstruction and Super-Resolution |
6 |
8 |
4 |
|
|
6.00 |
Topological Learning and Its Application to Multimodal Brain Network Integration |
5 |
5 |
6 |
8 |
|
6.00 |
Towards a non-invasive diagnosis of portal hypertension based on an Eulerian CFD model with diffuse boundary conditions |
3 |
7 |
8 |
|
|
6.00 |
Towards Robust Dual-view Transformation via Densifying Sparse Supervision for Mammography Lesion Matching |
7 |
6 |
5 |
|
|
6.00 |
Towards Robust General Medical Image Segmentation |
8 |
3 |
7 |
|
|
6.00 |
Training Deep Networks for Prostate Cancer Diagnosis Using Coarse Histopathological Labels |
5 |
6 |
7 |
|
|
6.00 |
TransCT: Dual-path Transformer for Low Dose Computed Tomography |
6 |
4 |
8 |
|
|
6.00 |
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation |
6 |
6 |
6 |
|
|
6.00 |
TUN-Det: A Novel Network for Thyroid Ultrasound Nodule Detection |
7 |
4 |
7 |
|
|
6.00 |
Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images |
3 |
7 |
8 |
|
|
6.00 |
U-DuDoNet: Unpaired dual-domain network for CT metal artifact reduction |
4 |
7 |
7 |
6 |
|
6.00 |
Uncertainty Aware Deep Reinforcement Learning for Anatomical Landmark Detection in Medical Images |
6 |
4 |
8 |
|
|
6.00 |
Unsupervised Network Learning for Cell Segmentation |
7 |
5 |
6 |
|
|
6.00 |
VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs |
6 |
6 |
6 |
|
|
6.00 |
Whole Heart Mesh Generation For Image-Based Computational Simulations By Learning Free-From Deformations |
5 |
5 |
8 |
|
|
6.00 |
You Only Learn Once: Universal Anatomical Landmark Detection |
8 |
5 |
5 |
|
|
6.00 |
Automated Malaria Cells Detection from Blood Smears under Severe Class Imbalance via Importance-aware Balanced Group Softmax |
6 |
7 |
7 |
3 |
|
5.75 |
Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-specific Pruning |
7 |
7 |
5 |
4 |
|
5.75 |
GloFlow: Whole Slide Image Stitching from Video using Optical Flow and Global Image Alignment |
2 |
7 |
7 |
7 |
|
5.75 |
Renal Cell Carcinoma Classification from Vascular Morphology |
6 |
8 |
3 |
6 |
|
5.75 |
A computational geometry approach for modeling neuronal fiber pathways |
7 |
8 |
2 |
|
|
5.67 |
A Deep Discontinuity-Preserving Image Registration Network |
6 |
6 |
5 |
|
|
5.67 |
A Matrix Auto-encoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes |
4 |
5 |
8 |
|
|
5.67 |
A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging Traits |
3 |
6 |
8 |
|
|
5.67 |
A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging |
7 |
4 |
6 |
|
|
5.67 |
A self-supervised deep framework for reference bony shape estimation in orthognathic surgical planning |
6 |
3 |
8 |
|
|
5.67 |
A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation |
7 |
6 |
4 |
|
|
5.67 |
Automatic Severity Rating for Improved Psoriasis Treatment |
6 |
7 |
4 |
|
|
5.67 |
CA^{2.5}-Net Nuclei Segmentation Framework with a Microscopy Cell Benchmark Collection |
6 |
3 |
8 |
|
|
5.67 |
CataNet: Predicting remaining cataract surgery duration |
7 |
6 |
4 |
|
|
5.67 |
Colorectal Polyp Classification from White-light Colonoscopy Images via Domain Alignment |
5 |
6 |
6 |
|
|
5.67 |
Conditional GAN with an Attention-based Generator and a 3D Discriminator for 3D Medical Image Generation |
8 |
4 |
5 |
|
|
5.67 |
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images |
6 |
6 |
5 |
|
|
5.67 |
Contrastive Pre-training and Representation Distillation for Medical Visual Question Answering Based on Radiology Images |
7 |
5 |
5 |
|
|
5.67 |
Deep Iterative 2D/3D Registration |
4 |
5 |
8 |
|
|
5.67 |
DeepOPG: Improving Orthopantomogram Finding Summarization with Weak Supervision |
3 |
7 |
7 |
|
|
5.67 |
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps |
6 |
6 |
5 |
|
|
5.67 |
Disentangled Sequential Graph Autoencoder for Preclinical Alzheimer's Disease Characterizations from ADNI Study |
6 |
5 |
6 |
|
|
5.67 |
Distilling effective supervision for robust medical image segmentation with noisy labels |
7 |
3 |
7 |
|
|
5.67 |
Effective semantic segmentation in Cataract surgery: What matters most? |
9 |
2 |
6 |
|
|
5.67 |
hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries |
7 |
6 |
4 |
|
|
5.67 |
Image-to-Graph Convolutional Network for Deformable Shape Reconstruction from a Single Projection Image |
3 |
5 |
9 |
|
|
5.67 |
Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy |
4 |
7 |
6 |
|
|
5.67 |
Integration of Patch Features through Self-Supervised Learning and Transformer for Survival Analysis on Whole Slide Images |
6 |
7 |
4 |
|
|
5.67 |
Interpretable gender classification from retinal fundus images using BagNets |
6 |
5 |
6 |
|
|
5.67 |
Inter-Regional High-level Relation Learning from Functional Connectivity via Self-Supervision |
4 |
6 |
7 |
|
|
5.67 |
kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation |
6 |
4 |
7 |
|
|
5.67 |
LDPolypVideo Benchmark: A Large-scale Colonoscopy Video Dataset of Diverse Polyps |
3 |
8 |
6 |
|
|
5.67 |
Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection |
7 |
6 |
4 |
|
|
5.67 |
LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation |
7 |
5 |
5 |
|
|
5.67 |
Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy |
3 |
7 |
7 |
|
|
5.67 |
Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance |
4 |
6 |
7 |
|
|
5.67 |
Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation |
8 |
4 |
5 |
|
|
5.67 |
Reciprocal Learning for Semi-supervised Segmentation |
3 |
7 |
7 |
|
|
5.67 |
Refined Local-imbalance-based Weight for Airway Segmentation in CT |
4 |
4 |
9 |
|
|
5.67 |
Revisiting iterative highly efficient optimisation schemes in medical image registration |
5 |
6 |
6 |
|
|
5.67 |
Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels |
6 |
4 |
7 |
|
|
5.67 |
Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non–Contrast CT Images |
5 |
6 |
6 |
|
|
5.67 |
Trainable summarization to improve breast tomosynthesis classification |
6 |
4 |
7 |
|
|
5.67 |
UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation |
6 |
7 |
4 |
|
|
5.67 |
Vessel Width Estimation via Convolutional Regression |
5 |
5 |
7 |
|
|
5.67 |
Harmonization with Flow-based Causal Inference |
4 |
8 |
7 |
3 |
|
5.50 |
LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in Cataract Surgery Videos |
6 |
7 |
4 |
5 |
|
5.50 |
PAC Bayesian Performance Guarantees for (Stochastic) Deep Networks in Medical Imaging |
4 |
5 |
6 |
7 |
|
5.50 |
Self-Supervised Multi-Modal Alignment For Whole Body Medical Imaging |
6 |
5 |
|
|
|
5.50 |
Atlas-Based Segmentation of Intracochlear Anatomy in Metal Artifact Affected CT Images of the Ear with Co-trained Deep Neural Networks |
4 |
8 |
4 |
|
|
5.33 |
AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-Center LGE MRIs |
4 |
6 |
6 |
|
|
5.33 |
BI-RADS Classification of Calcification on Mammograms |
6 |
3 |
7 |
|
|
5.33 |
Content-Preserving Unpaired Translation from Simulated to Realistic Ultrasound Images |
3 |
7 |
6 |
|
|
5.33 |
Convolution-Free Medical Image Segmentation using Transformer Networks |
4 |
6 |
6 |
|
|
5.33 |
Data-driven mapping between functional connectomes using optimal transport |
6 |
4 |
6 |
|
|
5.33 |
DC-Net: Dual Context Network for 2D Medical Image Segmentation |
5 |
4 |
7 |
|
|
5.33 |
Federated Contrastive Learning for Decentralized Unlabeled Medical Images |
6 |
6 |
4 |
|
|
5.33 |
From Brain to Body: Learning Low-Frequency Respiration and Cardiac Signals from fMRI Dynamics |
7 |
3 |
6 |
|
|
5.33 |
Generalised Super Resolution for Quantitative MRI Using Self-Supervised Mixture of Experts |
7 |
4 |
5 |
|
|
5.33 |
Image-derived phenotype extraction for genetic discovery via unsupervised deep learning in CMR images |
2 |
9 |
5 |
|
|
5.33 |
Joint Segmentation and Quantification of Main Coronary Vessels Using Dual-branch Multi-scale Attention Network |
3 |
6 |
7 |
|
|
5.33 |
Learning to Predict Error for MRI Reconstruction |
2 |
6 |
8 |
|
|
5.33 |
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs |
5 |
6 |
5 |
|
|
5.33 |
Multi-frame Attention Network for Left Ventricle Segmentation in 3D Echocardiography |
5 |
6 |
5 |
|
|
5.33 |
Multimodal Sensing Guidewire for C-arm Navigation with Random UV Enhanced Optical Sensors using Spatio-temporal Networks |
9 |
6 |
1 |
|
|
5.33 |
Pancreas CT Segmentation by Predictive Phenotyping |
4 |
7 |
5 |
|
|
5.33 |
Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images |
6 |
6 |
4 |
|
|
5.33 |
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT |
7 |
6 |
3 |
|
|
5.33 |
Rician noise estimation for 3D Magnetic Resonance Images based on Benford's Law |
3 |
4 |
9 |
|
|
5.33 |
Segmentation of Left Atrial MR Images via Self-supervised Semi-supervised Meta-learning |
8 |
4 |
4 |
|
|
5.33 |
TransBTS: Multimodal Brain Tumor Segmentation Using Transformer |
5 |
4 |
7 |
|
|
5.33 |
Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries |
3 |
6 |
7 |
|
|
5.33 |
Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation |
9 |
4 |
3 |
|
|
5.33 |
Unsupervised Diffeomorphic Surface Registration and Non-Linear Modelling |
5 |
4 |
7 |
|
|
5.33 |
Visual-Assisted Probe Movement Guidance for Obstetric Ultrasound Scanning using Landmark Retrieval |
6 |
4 |
6 |
|
|
5.33 |
MRI Super-Resolution Through Generative Degradation Learning |
6 |
4 |
5 |
|
|
5.00 |
The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization for Medical Image Segmentation |
6 |
4 |
|
|
|
5.00 |
Increasing Consistency of Evoked Response in Thalamic Nuclei During Repetitive Burst Stimulation of Peripheral Nerve in Humans |
7 |
1 |
4 |
7 |
|
4.75 |
Context-aware virtual adversarial training for anatomically-plausible segmenation |
7 |
3 |
4 |
|
|
4.67 |
Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition |
4 |
6 |
4 |
|
|
4.67 |
Rethinking Ultrasound Augmentation: A Physics-Inspired Approach |
3 |
8 |
3 |
|
|
4.67 |
TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation |
6 |
3 |
5 |
|
|
4.67 |
Unsupervised Domain Adaptation for Small Bowel Segmentation using Disentangled Representation |
8 |
2 |
3 |
|
|
4.33 |