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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
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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
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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
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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
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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