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| Original file line number | Diff line number | Diff line change |
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| Rank Team name Leaderboard: F-measure Color scans of clean papers: F-measure Black-and-white scans of clean papers: F-measure Mobile phone photos of clean papers: F-measure Mobile phone photos of stained papers: F-measure Mobile phone photos of deteriorated papers: F-measure Color scans of deteriorated papers: F-measure Black-and-white scans of deteriorated papers: F-measure Screenshots of computer monitor: F-measure | ||
| 1 AIMED 0.817 0.833 0.796 0.644 0.636 0.711 0.830 0.775 0.636 | ||
| 2 Inventec AIC 0.742 0.779 0.628 0.697 0.694 0.739 0.777 0.582 0.726 | ||
| 3 BAPORLab 0.730 0.716 0.696 0.609 0.634 0.644 0.720 0.664 0.604 | ||
| 4 CeZIS 0.645 0.691 0.586 0.648 0.659 0.700 0.700 0.576 0.691 | ||
| 5 ECG_UVA 0.516 0.580 0.481 0.070 0.068 0.076 0.595 0.468 0.086 | ||
| 6 DSAIL 0.429 0.502 0.118 0.072 0.080 0.078 0.463 0.093 0.104 | ||
| 7 USST_Med 0.393 0.056 0.056 0.056 0.056 0.056 0.056 0.056 0.056 | ||
| 8 Revenger 0.330 0.332 0.327 0.306 0.316 0.306 0.331 0.319 0.288 | ||
| 9 PulsePlex 0.317 0.222 0.222 0.222 0.222 0.222 0.222 0.222 0.222 | ||
| 10 DSAIL_Nyeri 0.227 0.290 0.104 0.055 0.058 0.053 0.271 0.077 0.058 | ||
| 11 Leicester Fox 0.068 0.044 0.078 0.068 0.058 0.067 0.056 0.074 0.060 | ||
| 12 Ahus AI Lab 0.056 0.056 0.056 0.056 0.056 0.056 0.056 0.056 0.056 |
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| Rank Team name Leaderboard: SNR Color scans of clean papers: SNR Black-and-white scans of clean papers: SNR Mobile phone photos of clean papers: SNR Mobile phone photos of stained papers: SNR Mobile phone photos of deteriorated papers: SNR Color scans of deteriorated papers: SNR Black-and-white scans of deteriorated papers: SNR Screenshots of computer monitor: SNR | ||
| 1 SignalSavants 12.151 4.930 3.479 -1.071 -0.723 -1.304 0.506 0.514 -1.759 | ||
| 2 BAPORLab 5.493 6.220 4.735 -0.261 -1.116 0.807 0.905 0.358 0.123 | ||
| 3 Ahus AI Lab 3.047 3.318 2.777 0.138 -0.345 0.792 0.670 -0.320 -0.512 | ||
| 4 USST_Med 2.202 -0.058 -0.058 -0.375 -0.375 -0.375 -0.375 -0.375 -0.375 | ||
| 5 Inventec AIC 0.397 4.101 -2.569 -4.574 -5.106 -3.782 -2.157 -2.802 -2.450 | ||
| 6 TimeBeater -0.056 -0.058 -0.056 -0.375 -0.375 -0.375 -0.375 -0.375 -0.375 | ||
| 7 VinUniTeam -0.066 -0.069 -0.062 -0.027 -0.027 -0.029 -0.030 -0.026 -0.047 | ||
| 8 PulsePlex -0.081 -0.082 -0.080 -0.303 -0.301 -0.302 -0.303 -0.303 -0.303 | ||
| 9 Revenger -0.733 -0.148 -1.267 -9.019 -8.545 -6.398 -1.636 -3.559 -6.532 | ||
| 10 PapyrusECG -5.192 1.211 -11.781 -11.960 -12.635 -8.888 -1.549 -10.926 -11.648 | ||
| 11 Leicester Fox -12.032 -12.032 -12.032 -12.813 -12.813 -12.813 -12.813 -12.813 -12.813 | ||
| 12 DeRC_ECG -31.302 -31.302 -31.302 -31.122 -31.122 -31.122 -31.122 -31.122 -31.122 |
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| Team name CinC submission ID Title Authors Accepted CinC abstract? Wild card CinC abstract? Withdrawn CinC abstract? CinC preprint uploaded by deadline? Presented at CinC? Withdrawn from Challenge? Successful unofficial phase entry Successful official phase entry? Successfully trained on the training set and scored on the validation and test sets? Open-source license? Eligible for rankings and prizes? | ||
| Ahus AI Lab 262 ECG-DUal: Pose- and warp-invariant digitalization of printed ECGs using dual U-nets Bjørn-Jostein Singstad, Jesper Ravn, Arian Ranjbar TRUE FALSE FALSE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE | ||
| AIMED 398 Image-Based Electrocardiogram Classification using Pre-trained ConvNext Models with Demographic Data Felipe Meneguitti Dias, Estela Ribeiro, Quenaz Bezerra Soares, Jose Krieger, Marco Antonio Gutierrez TRUE FALSE FALSE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE | ||
| am_HAI 277 Automated Digitization of Paper-Based ECGs: A Methodological Approach Enhanced by Denoising Autoencoders Chaithanya Kalyan Reddy Bhuma, Subhash khambampati, Sushanth Reddy Dondapati, Tejo Vardhan Kattamuri, Bharadwaj Madiraju, Kunal Achintya Reddy Seerapu, Rahul Krishnan Pathinarupothi TRUE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE TRUE FALSE | ||
| BAPORLab 227 A Multi-Stage Deep Learning Approach for Digitization of Paper ECGs and Automated Cardiovascular Disease Classification Hong-Cheol Yoon, Dong-Kyu Kim, Hyun-Seok Kim, Woo-Young Seo, Chang-Hoe Heo, Sung-Hoon Kim TRUE FALSE FALSE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE | ||
| Berru's widows 265 U-Net Guided Digitization of 12-Lead Printed ECGs Álvaro José Bocanegra, Etel Silva Garcia, Andrea Saglietto, Oscar Camara TRUE FALSE FALSE TRUE TRUE FALSE TRUE FALSE FALSE TRUE FALSE | ||
| buckeye_ai 402 Comparative Analysis of Digitization and Direct Classification Approaches for Arrhythmia Detection from Paper ECGs using CNN based architectures Jana F. Abedeljaber, Biswajit Padhi, Ping Zhang TRUE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE TRUE FALSE | ||
| CeZIS 231 Digital signal and image-based ECG classification and its performance by modern residual convolutional networks Peter Bugata, Peter Bugata Jr., Dávid Hudák, Vladimíra Kmečová, Monika Staňková, Ľubomír Antoni, Erik Bruoth, Dávid Gajdoš, Gabriela Vozáriková, Ivan Žežula TRUE FALSE FALSE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE | ||
| Deakin_Squad 382 A Versatile, Advanced Framework for Enhanced Multi-Label ECG Classification Leveraging Synergistic Deep and Traditional Machine Learning Techniques Vinayaka Vivekananda Malgi, Sunil Aryal TRUE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE TRUE FALSE | ||
| DeepInTheHeart 472 Contrastive Waveform-Image Pretraining for Electrocardiogram Digitization and Classification Adel M. Hassan, Muhammad Nuhan Ahnaf TRUE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE TRUE FALSE | ||
| DeRC_ECG 225 DeRC_ECG: Joint UNet-Resnet framework for automated reconstruction and classification of noisy paper-based ECGs Weijie Sun, Siqi Cao TRUE FALSE FALSE TRUE TRUE FALSE FALSE TRUE TRUE TRUE FALSE | ||
| DeTECRohr 370 Enabling ECG Digitization and Classification with Hierachical End-To-End Training Tizian Claus Dege, Maurice Rohr, Christoph Hoog Antink TRUE FALSE FALSE TRUE TRUE FALSE TRUE TRUE FALSE TRUE FALSE | ||
| DSAIL 498 Automated ECG Image Classification with InceptionV3 Antony Gitau, Victor Ruto, David YN Njoroge, Lorna Mugambi, Victoria A. Sitati and Austin Kaburia TRUE TRUE FALSE TRUE TRUE FALSE FALSE TRUE TRUE TRUE TRUE | ||
| DSAIL_Nyeri 499 Heart Disease Classification Using EfficientNet B5 with Three-Dimensional Scaled Electrocardiogram Images David Wachira Warutumo, Paul K. Bett, Clinton Mwangi Kuya and Mary Wambui Kariuki TRUE TRUE FALSE TRUE TRUE FALSE FALSE TRUE TRUE TRUE TRUE | ||
| easyG 272 U-Net Guided Digitization of 12-Lead Printed ECGs Martin Kropf, Dieter Hayn, Martin Baumgartner, Sai Pavan Kumar Veeranki, Fabian Wiesmueller TRUE FALSE TRUE FALSE FALSE FALSE TRUE FALSE FALSE TRUE FALSE | ||
| ECG_UVA 496 Applying pre-trained deep learning models for Multi-Label Classification of Realistic and Noisy Electrocardiogram Images Navchetan Awasthi, Swati Gupta and Max Aiden Kowalchuk TRUE TRUE FALSE TRUE TRUE FALSE FALSE TRUE TRUE TRUE TRUE | ||
| ECGénie 481 Deep Learning Image Segmentation for Time-Series Reconstruction from ECG Images Samer Jammoul, Abdullatif Hassan, Emily Zhang, Philip Warrick, Jonathan Afilalo TRUE FALSE FALSE FALSE TRUE FALSE FALSE TRUE TRUE TRUE FALSE | ||
| ETH_SCAI_Lab 174 Comprehensive ECG classification using Tree Models and YOLOv8 Shreyasvi Natraj, Bertram Fuchs, Diego Paez TRUE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE | ||
| GIRAFFE 210 GIRAFFE: Crafting Deep Learning Ensembles for Classifying ECG Paper Printouts Damian Marek Kucharski, Arkadiusz Paweł Czerwiński, Agata Maria Wijata, Jacek Kawa, Yalin Zheng, Gregory Lip, Jakub Nalepa TRUE FALSE FALSE TRUE TRUE FALSE FALSE TRUE TRUE TRUE FALSE | ||
| Heartsmiths 458 Enhancing ECG Digitization and Diagnostic Accuracy through Operational Generative Adversarial Networks Muhammad Uzair Zahid, Zarmeen Shahid, Khuzaima Shahid, Serkan Kiranyaz, Moncef Gabbouj TRUE FALSE TRUE FALSE FALSE FALSE TRUE FALSE FALSE TRUE FALSE | ||
| Inria Epione 372 Leveraging Binarized Generated Images for Enhanced Denoising and Digitization of Scanned ECGs Rafael Silva, Yingyu Yang, Maëlis Morier, Safaa Al-Ali, Maxime Sermesant TRUE FALSE FALSE TRUE TRUE FALSE FALSE TRUE TRUE TRUE FALSE | ||
| Inventec AIC 224 Dual Deep Learning System to Digitalize and Classify 12-Lead ECGs from Scanned Images Chou ChunTi, Sergio González Vázquez TRUE FALSE FALSE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE | ||
| ISIBrno-AIMT 4 Paper is not Dead: Automated Conversion and Analysis of Printed ECG Using Object Detection, Attention, and Siamese Neural Networks Jan Pavlus, Kristyna Pijackova, Veronika Vicianova, Petr Nejedly, Filip Plesinger TRUE FALSE FALSE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE | ||
| Leicester Fox 343 Hybrid Approach for Electrocardiogram Images Classification: Residual Network and Random Forest Jingzhi Gong, NOOR QAQOS, Chintan Patel, Ekenedirichukwu Nelson Obianom, Shamsu Idris Abdullahi, Fan Feng, Abdulmalik Koya, Abdulhamed Mohammed Jasim, ZAID A. ABOD, G. Andre Ng, Xin Li TRUE FALSE FALSE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE | ||
| Lubdub 433 Cardiovascular Diseases Classification based on ECG Scans with Transfer Learning Hui Lu, Adithya Ramachandran TRUE FALSE TRUE FALSE FALSE FALSE TRUE FALSE FALSE TRUE FALSE | ||
| mins-eth 199 Convolutional Neural Networks with Spatial Transformer Modules for End-to-End Digitization of Paper Electrocardiogram Records Haoliang Shang, Clemens Hutter, Rodrigo Casado Noguerales, Yani Zhang TRUE FALSE FALSE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE | ||
| MultiMeDIA_OX 435 Automated Deep Learning Based Digitization and Classification of Paper Electrocardiograms Haobo Zhu, Mohammad Atwany, Alexander James Sharp, Abhirup Banerjee TRUE FALSE TRUE FALSE FALSE FALSE TRUE FALSE FALSE TRUE FALSE | ||
| Paper2Pulse 31 Paper2Pulse: Advancing Cardiovascular Diagnosis through Digitization and Classification of ECG Images MINJUNG KANG, HyunJee Nam, Gi nam Kim, Sunghwan Park, Il-Youp Kwak, jaewoo Lee TRUE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE | ||
| PapyrusECG 495 Fusion of Deep Learning and Rule-Based Techniques for Enhanced Paper-Based ECG Digitization Amaan Kazi, Kelvin K. Nguyen, Varun Sendilraj, Shadi Manafi, Sasan Esfahani, Zaniar Ardalan and Saman Parvaneh TRUE TRUE FALSE TRUE TRUE FALSE FALSE TRUE TRUE TRUE TRUE | ||
| PKU_NIHDS 326 Text-to-ECG Generation and Image Style Transfer Helps ECG Images Digitalization and Classification Zisheng Liang, Shanwei Zhang, 可鑫 王, qinghao zhao, Deyun Zhang, Shijia Geng, Jun Li, Yuxi Zhou, Shenda Hong TRUE FALSE FALSE TRUE TRUE FALSE TRUE TRUE FALSE TRUE FALSE | ||
| Proton 249 ECG Image Digitization Based on ResUNet-YOLO and Anomaly Detection Using Multi-branch SE-ResNet Model Zhen Wang, Hanshuang Xie, Yamin Liu, MN Zheng TRUE FALSE TRUE FALSE FALSE FALSE TRUE TRUE FALSE TRUE FALSE | ||
| PulsePlex 393 Transformative Multimodal Fusion Techniques for ECG Image Analysis: PulsePlex's Approach for Classification and Waveforms Reconstruction MD. Kamrujjaman Mobin TRUE FALSE FALSE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE | ||
| Revenger 128 A Novel Multi-Task Learning Framework for Simultaneous Digitization and Classification of Electrocardiogram Images Jingsu Kang, Hao WEN TRUE FALSE FALSE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE | ||
| RoadRuNNers 247 Driving ECG digitization - Using Techniques from Autonomous Driving to Detect Regions of Interest in ECG Images Philip Hempel, Nicolai Spicher TRUE FALSE FALSE TRUE TRUE FALSE TRUE TRUE FALSE TRUE FALSE | ||
| RPG_ML@IISC 80 Automating the Digitization of ECG Images with Deep Neural Networks Vasanth Kumar B, Rahul Pandit FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE | ||
| RPG_ML@IISC 81 Automating the Classification of ECG Images with Deep Neural Networks Vasanth Kumar B, Rahul Pandit TRUE FALSE TRUE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE | ||
| shenhai_dl 468 A hybrid method combining graph convolutional network and structured state space model for reconstructing and classifying paper ECGs Xiang Wang TRUE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE TRUE FALSE | ||
| SignalSavants 97 Digitising ECG Images: A Vision to Time Series Transformer Vs. A Pipeline of Specialised Deep-Learning Models Felix H. Krones, Terry J. Lyons, Adam Mahdi, Benjamin Walker TRUE FALSE FALSE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE | ||
| Team_IRS 385 Optimizing 12-Lead Electrocardiogram Abnormality Detection with VGGNet and ResNet Ravindu Hiran Weerakoon, Sasika Pamith Amarasinghe, Isiri Amani Withanawasam TRUE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE TRUE FALSE | ||
| The Easy Geese 118 A modular framework for the interpretation of paper ECGs Sara Summerton, Tuija Leinonen, George Searle, Matti Kaisti, David C. Wong TRUE FALSE FALSE TRUE TRUE FALSE TRUE FALSE FALSE TRUE FALSE | ||
| TimeBeater 167 High-Fidelity Digitization and Automated Classification of Electrocardiograms Using Wave-GAN and ResNet-50 Frameworks ke jiang, Runze Shen, 政 胡, sibo wang TRUE FALSE FALSE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE | ||
| tju_forest 158 An electrocardiogram (ECG) digital system for the extraction and classification of paper-based ECG 雨晴 王, Yulin Sun, Leshui David, 张 之涵, Runnan He, Xiuyun Liu TRUE FALSE FALSE FALSE TRUE FALSE TRUE FALSE FALSE TRUE FALSE | ||
| Toy Story 375 Efficient End-to-End Neural Network Architecture for Denoising-Extraction-Classification on ECG Images zirui wang, sunxiaohe li, yizhuo feng, yang liu TRUE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE TRUE FALSE | ||
| uhealthcareteam 73 Overcoming Modality Gaps: Self-Supervised Learning for Image-based Cardiovascular Disease Detection Yeongyeon Na, Minje Park, Taehyung Yu, Jeonghwa Lim, Younghoon Ji, Sunghoon Joo TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE | ||
| USST_Med 134 From Paper to Digital: ECG Processing with U-Net Digitization and ResNet Classification Xiankai Yu, Yangcheng Huang, Jian Wu, Jiahao Wang, Wenjie Cai TRUE FALSE FALSE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE | ||
| VinUniTeam 135 VinDigitizer: A Hybrid Approach to Digitize Paper-based ECG Records Cuong V. Nguyen, Hieu Xuan Nguyen, Nhat Duong Anh, Cuong Do TRUE FALSE FALSE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE | ||
| VitalRhythms 159 Transformer-Based Deep Learning Approach for the Digitization and Classification of Physical ECG Paper Images Mohanad Alkhodari, Mostafa Mohamed Moussa, Leontios J. Hadjileontiadis, Ahsan Khandoker TRUE FALSE FALSE TRUE TRUE FALSE TRUE FALSE FALSE TRUE FALSE | ||
| wavie_ABI 229 WAVIE: A Modular and Open-Source Python Implementation for Fully Automated Digitisation of Paper Electrocardiograms Mathilde A. Verlyck, Joshua R. Dillon, Stephen A. Creamer, Debbie Zhao TRUE FALSE FALSE TRUE TRUE FALSE FALSE TRUE FALSE TRUE FALSE | ||
| YAMA 222 Enhanced ECG Signal Classification and Reconstruction Using Deep Features and Extra Trees Classifier ruhallah amandi TRUE FALSE TRUE FALSE FALSE FALSE TRUE FALSE FALSE TRUE FALSE | ||
| ZHAW_ET 373 ECG Digitization by Classical Digital Image Processing Federico Wadehn, Remo Schneider, Janic Aeschbacher TRUE FALSE TRUE FALSE FALSE FALSE TRUE TRUE TRUE TRUE FALSE |
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