Track 1 (archival)
| Title and Authors | Proceedings | |
|---|---|---|
| Strategies to Improve Real-World Applicability of Laparoscopic Anatomy Segmentation Models Fiona R. Kolbinger, Jiangpeng He, Jinge Ma, Fengqing Zhu |
link | oral |
| nnMobileNet: Rethinking CNN for Retinopathy Research Wenhui Zhu, Peijie Qiu, Xiwen Chen, xin li, Natasha Lepore, Oana Dumitrascu, Yalin Wang |
link | |
| Distribution-Aware Multi-Label FixMatch for Semi-Supervised Learning on CheXpert Sontje Ihler, Felix Kuhnke, Timo Kuhlgatz, Thomas Seel |
link | |
| Repurposing the Image Generative Potential: Exploiting GANs to Grade Diabetic Retinopathy Isabella Poles, Eleonora D’Arnese, Luca Giuseppe Cellamare, Marco Santambrogio, Darvin Yi |
link | |
| Repeat and Concatenate: 2D to 3D Image Translation with 3D to 3D Generative Modeling Abril Corona-Figueroa, Hubert P. H. Shum, Chris G. Willcocks |
link | oral |
| ControlPolypNet: Towards Controlled Colon Polyp Synthesis for Improved Polyp Segmentation Vanshali Sharma, Abhishek Kumar, Debesh Jha, M.K. Bhuyan, Pradip Das, Ulas Bagci |
link | |
| Generation of Structurally Realistic Retinal Fundus Images with Diffusion Models Sojung Go, younghoon ji, Sang Jun Park, Soochahn Lee |
link | |
| A Comparative Analysis of Implicit Augmentation Techniques for Breast Cancer Diagnosis Using Multiple Views Yumnah Hasan, Talhat Khan, Darian Reyes Fernández de Bulnes, Juan Albarracín, Conor Ryan |
link | oral |
| Creating a Digital Twin of Spinal Surgery: A Proof of Concept Jonas Hein, Frederic Giraud, Lilian Calvet, Alexander Schwarz, Nicola Alessandro Cavalcanti, Sergey Prokudin, Mazda Farshad, Siyu Tang, Marc Pollefeys, Fabio Carrillo, Philipp Fürnstahl |
link | |
| Codebook VQ-VAE Approach for Prostate Cancer Diagnosis using Multiparametric MRI Ekaterina Redekop, Mara Pleasure, Zichen Wang, Karthik V Sarma, Adam Kinnaird, William Speier, Corey W. Arnold |
link | |
| Advancing Brain Tumor Analysis: Curating a High-Quality MRI Dataset for Deep Learning-Based Molecular Marker Profiling Divya D Reddy, Niloufar Saadat, James Holcomb, Ben Wagner, Nghi Truong, Jason Bowerman, Kimmo Hatanpaa, Marco Pinho, Toral Patel, Ananth Madhuranthakam, Chandan Ganesh, Joseph Maldjian |
link | oral |
| Privacy-Preserving Collaboration for Multi-Organ Segmentation via Federated Learning from Sites with Partial Labels Adway Kanhere, Pranav Kulkarni, Paul Yi, Vishwa Sanjay Parekh |
link | |
| GSAM+Cutie: Text-Promptable Tool Mask Annotation for Endoscopic Video Roger David Soberanis-Mukul, Jiahuan Cheng, Jan Emily Mangulabnan, S. Swaroop Vedula, Masaru Ishii, Gregory D. Hager, Russ Taylor, Mathias Unberath |
link | oral |
| MMIST-ccRCC: A Real World Medical Dataset for the Development of Multi-Modal Systems Tiago Mota, Maria Rita Fonseca Verdelho, Diogo José Pereira Araújo, Alceu Bissoto, Carlos Santiago, Catarina Barata |
link | |
| Hairy Ground Truth Enhancement for Semantic Segmentation Sophie Fischer, Irina Voiculescu |
link | |
| Beyond respiratory models: a physics-enhanced synthetic data generation method for 2D-3D deformable registration François Lecomte, Pablo Alvarez, Stephane Cotin, Jean-louis Dillenseger |
link | |
| UltraAugment: Fan-shape and Artifact-based Data Augmentation for 2D Ultrasound Images Florian Ramakers, Tom Vercauteren, Jan Deprest, Helena Williams |
link |
Track 2 (non-archival)
| Title and Authors | Paper Link | |
|---|---|---|
| Utilizing Synthetic Data for Medical Vision-Language Pre-training: Bypassing the Need for Real Images Che Liu, Anand Shah, Wenjia Bai, Rossella Arcucci |
link | |
| Detecting multiple stenoses using coronary angiographies and deep learning Christian Eschen, Karina Banasik, Anders Dahl, Piotr Jaroslaw Chmura, Peter Bruun-Rasmussen, Frants Pedersen, Lars Køber, Thomas Engstrøm, Alex Hørby Christensen, Henning Bundgaard, Soren Brunak |
- | |
| Scalp Surface Estimation and Head Registration Using Sparse Sampling and 3D Statistical Models Oded Schlesinger, Raj Kundu, Dmitry Isaev, Jessica Choi, Stefan Goetz, Dennis A. Turner, Guillermo Sapiro, Angel V. Peterchev, Juan Matias Di Martino |
- | |
| Towards Establishing Dense Correspondence on Multiview Coronary Angiography: From Point-to-Point to Curve-to-Curve Query Matching Yifan Wu, Rohit Jena, Mehmet Akif Gulsun, Vivek Kumar Singh, Puneet Sharma, James Gee |
link | oral |
| Adapting Self-Supervised Learning for Computational Pathology Eric Zimmermann, Neil Tenenholtz, James Brian Hall, George Shaikovski, Michal Zelechowski, Adam Casson, Fausto Milletari, Julian Viret, Eugene Vorontsov, Siqi Liu, Kristen A Severson |
link | |
| Discovering mechanisms underlying AI prediction of protected attributes via data auditing Soham Gadgil, Alex DeGrave, Roxana Daneshjou, Su-In Lee |
link | oral |
| ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image Hallee E. Wong, Marianne Rakic, John Guttag, Adrian V Dalca |
link | oral |
| From Majority to Minority: Enhancing Underrepresented Group via Diffusion-based Augmentation in Skin Lesion Analysis Janet Wang, Yunsung Chung, Zhengming Ding, Jihun Hamm |
link | |
| ControlEchoSynth: Boosting Ejection Fraction Estimation Models via Controlled Video Diffusion Nima Kondori, Hanwen Liang, Hooman Vaseli, Bingyu Xie, Christina Luong, Purang Abolmaesumi, Teresa Tsang, Renjie Liao |
- | |
| Alljoined - A dataset for EEG-to-Image decoding Jonathan Xu, Bruno Aristimunha, Max Emanuel Feucht, Emma Qian, Charles Liu, Tazik Shahjahan, Martyna Spyra, Steven Zhang, Nicholas Roger Hewitt Short, Jioh Kim, Paula Perdomo, Ricky Renfeng Mao, Yashvir Sabharwal, Michael Kojo Ahedor, Moaz Shoura, Adrian Nestor |
link | |
| DIDA: Diffusion-based Inpainting Data Augmentation for Multi-class Glomerular Segmentation Yisak Kim, Seung Yeon Cho, Sehoon Park, Hajeong Lee, Kyung Chul Moon, Young-Gon Kim |
- |
Track 3 (previously published)
| Title and Authors | Publication Link |
|---|---|
| Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications Stefan Denner, Jonas Scherer, Klaus Kades, Dimitrios Bounias, Philipp Schader, Lisa Kausch, Markus Bujotzek, Andreas Michael Bucher, Tobias Penzkofer & Klaus Maier-Hein |
MICCAI-W 23: Data Engineering in Medical Imaging |
| Addressing image misalignments in multi-parametric prostate MRI for enhanced computer-aided diagnosis of prostate cancer Balint Kovacs, Nils Netzer, Michael Baumgartner, Adrian Schrader, Fabian Isensee, Cedric Weißer, Ivo Wolf, Magdalena Görtz, Paul F. Jaeger, Victoria Schütz, Ralf Floca, Regula Gnirs, Albrecht Stenzinger, Markus Hohenfellner, Heinz-Peter Schlemmer, David Bonekamp, Klaus H. Maier-Hein |
Nature Scientific Reports 2023 |
| Anatomy-Informed Data Augmentation for Enhanced Prostate Cancer Detection Balint Kovacs, Nils Netzer, Michael Baumgartner, Carolin Eith, Dimitrios Bounias, Clara Meinzer, Paul F. Jaeger, Kevin S. Zhang, Ralf Floca, Adrian Schrader, Fabian Isensee, Regula Gnirs, Magdalena Goertz, Viktoria Schuetz, Albrecht Stenzinger, Markus Hohenfellner, Heinz-Peter Schlemmer, Ivo Wolf, David Bonekamp, Klaus H. Maier-Hein |
MICCAI 2023 |
| MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation Chen Chen, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai & Daniel Rueckert |
MICCAI 2022 |
| Intelligent Malaria Detection and Species Classification: a Case of Rwanda Yamlak Bogale, Carine Pierrete Mukamakuza, Emmanuel Tuyishimire |
9th International Congress on Information and Communication Technology, 2024 |
| Towards Reliable Dermatology Evaluation Benchmarks Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Alvaro Gonzalez-Jimenez, Matthew Groh, Roxana Daneshjou, Labelling Consortium, Alexander A. Navarini, Marc Pouly |
Machine Learning for Health (ML4H) 2024 |
| Metrics reloaded: recommendations for image analysis validation Lena Maier-Hein, Annika Reinke, Patrick Godau, Minu D. Tizabi, Florian Buettner, Evangelia Christodoulou, Ben Glocker, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, A. Emre Kavur, Carole H. Sudre, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Tim Rädsch, Laura Acion, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Florian Kofler, Annette Kopp-Schneider, Anna Kreshuk, Tahsin Kurc, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Nasir Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux & Paul F. Jäger |
Nature Methods 2024 |
| Labelling instructions matter in biomedical image analysis Tim Rädsch, Annika Reinke, Vivienn Weru, Minu D. Tizabi, Nicholas Schreck, A. Emre Kavur, Bünyamin Pekdemir, Tobias Roß, Annette Kopp-Schneider & Lena Maier-Hein |
Nature Machine Intelligence |
| Tracking and Mapping in Medical Computer Vision: A Review Adam Schmidt, Omid Mohareri, Simon DiMaio, Michael C. Yip, Septimiu E. Salcudean |
Medical Image Analysis, 2024 |
| Surgical Tattoos in Infrared: A Dataset for Quantifying Tissue Tracking and Mapping Adam Schmidt, Omid Mohareri, Simon DiMaio, Septimiu E. Salcudean |
IEEE Transactions on Medical Imaging, 2024 |
| Generating BlobCell Label from Weak Annotations for Precise Cell Segmentation Suk Min Ha, Young Sin Ko & Youngjin Park |
MICCAI-W 2023: Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology |
| Intraoperative 2D/3D Image Registration via Differentiable X-ray Rendering Vivek Gopalakrishnan, Neel Dey, Polina Golland |
CVPR 2024 |
| Translating color fundus photography to indocyanine green angiography using deep-learning for age-related macular degeneration screening Ruoyu Chen, Weiyi Zhang, Fan Song, Honghua Yu, Dan Cao, Yingfeng Zheng, Mingguang He, Danli Shi |
npj Digital Medicine,2024 |
| One-shot Retinal Artery and Vein Segmentation via Cross-modality Pretraining Danli Shi, Shuang He, Jiancheng Yang, Yingfeng Zheng, Mingguang He |
Ophthalmology Science, 2024 |
| SurgMAE: Masked Autoencoders for Long Surgical Video Analysis Muhammad Abdullah Jamal, Omid Mohareri |
NeurIPS 2023 Workshop: Self-Supervised Learning - Theory and Practice |