Workshop
Medical Imaging meets NeurIPS
Daniel Moyer · DOU QI · Yuankai Huo · Konstantinos Kamnitsas · Andrea Lara · Xiaoxiao Li · Islem Rekik
Hall B1 (level 1)
Sat 16 Dec, 7 a.m. PST
“Medical Imaging meets NeurIPS” aims to bring researchers together from the medical imaging and machine learning communities to create a cutting-edge venue for discussing the major challenges in the field and opportunities for research and novel applications. The proposed event will be the continuation of a successful workshop organized for the past 6 years. It will feature a series of invited speakers (all confirmed) from academia, medical sciences, and industry to present their latest work, and to present reviews of recent technological advances and remaining major challenges. This year we aim to have all keynotes presented in person (to facilitate speaker interaction and discourse), an extended number of submitted talks (approximately double from previous years), and an updated call that highlights changes occurring in our interdisciplinary field.
Schedule
Sat 7:00 a.m. - 7:15 a.m.
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Keynote 1: Yu-Ping Wang
(
Keynote
)
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SlidesLive Video |
🔗 |
Sat 7:00 a.m. - 7:15 a.m.
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Opening Remarks - Organizing Committee
(
Opening remarks
)
>
SlidesLive Video |
🔗 |
Sat 7:15 a.m. - 7:30 a.m.
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LC-SD: Realistic Endoscopic Image Generation with Stable Diffusion and ControlNet
(
Invited Talk
)
>
SlidesLive Video |
Joanna Kaleta 🔗 |
Sat 7:30 a.m. - 7:45 a.m.
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Deep Structural Causal Model for Investigating Causality between Genotype and Clinical Phenotype in Neurological Disorders
(
Invited Talk
)
>
SlidesLive Video |
🔗 |
Sat 7:45 a.m. - 8:00 a.m.
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On Mitigating Shortcut Learning for Fair Chest X-ray Classification
(
Invited Talk
)
>
SlidesLive Video |
Yuzhe Yang 🔗 |
Sat 8:00 a.m. - 8:40 a.m.
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Poster Session 1
(
Poster Session
)
>
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🔗 |
Sat 8:30 a.m. - 8:45 a.m.
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equalcare
(
equalcare
)
>
SlidesLive Video |
🔗 |
Sat 8:45 a.m. - 9:15 a.m.
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Keynote 2: Ehsan Adeli
(
Keynote
)
>
SlidesLive Video |
🔗 |
Sat 9:15 a.m. - 9:30 a.m.
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Cancer-Net PCa-Data: An Open-Source Benchmark Dataset for Prostate Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data
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Invited Talk
)
>
SlidesLive Video |
Hayden Gunraj 🔗 |
Sat 9:30 a.m. - 9:45 a.m.
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Dual Heteroscedastic Uncertainty Estimation for Probabilistic Unsupervised Volumetric Registration of Noisy Medical Images
(
Invited Talk
)
>
SlidesLive Video |
Xiaoran Zhang 🔗 |
Sat 9:45 a.m. - 10:00 a.m.
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HEALNet – Improving Medical Image Analysis using Multi-Omic Context via Hybrid Early Fusion
(
Invited Talk
)
>
SlidesLive Video |
Konstantin Hemker 🔗 |
Sat 11:30 a.m. - 12:00 p.m.
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Keynote 3: Martin J McKeown
(
Keynote
)
>
SlidesLive Video |
🔗 |
Sat 12:00 p.m. - 12:15 p.m.
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Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience
(
Invited Talk
)
>
SlidesLive Video |
🔗 |
Sat 12:15 p.m. - 12:30 p.m.
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Convolve and Conquer: Data Comparison with Wiener Filter
(
Invited Talk
)
>
SlidesLive Video |
🔗 |
Sat 12:30 p.m. - 12:45 p.m.
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Sculpting Efficiency: Pruning Medical Imaging Models for On-Device Inference
(
Invited Talk
)
>
SlidesLive Video |
🔗 |
Sat 12:45 p.m. - 1:30 p.m.
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Poster Session 2
(
Poster Session
)
>
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🔗 |
Sat 1:30 p.m. - 1:45 p.m.
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CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations
(
Invited Talk
)
>
SlidesLive Video |
🔗 |
Sat 1:45 p.m. - 2:00 p.m.
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ProtoEEGNet: An Interpretable Approach for Detecting Interictal Epileptiform Discharges
(
Invited Talk
)
>
SlidesLive Video |
🔗 |
Sat 2:00 p.m. - 2:15 p.m.
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Universal Noise Annotation: Unveiling the Impact of Noisy annotation on Object Detection
(
Invited Talk
)
>
SlidesLive Video |
🔗 |
Sat 2:15 p.m. - 2:45 p.m.
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Keynote 4: Linwei Wang
(
Keynote
)
>
SlidesLive Video |
🔗 |
Sat 2:45 p.m. - 3:00 p.m.
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Closing
(
Closing
)
>
SlidesLive Video |
🔗 |
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UTAR: Source-free Unsupervised Test-time Adaptation for MRI Super-Resolution
(
Poster
)
>
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Weitong Zhang · Jonathan Stelter · Cheng Ouyang · Dimitrios Karampinos · Bernhard Kainz 🔗 |
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Unveiling the Interplay Between Interpretability and Generative Performance in Medical Diffusion Models
(
Poster
)
>
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Mischa Dombrowski · Hadrien Reynaud · Johanna Paula Müller · Matthew Baugh · Bernhard Kainz 🔗 |
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Robust semi-supervised segmentation with timestep ensembling diffusion models
(
Poster
)
>
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Margherita Rosnati · Mélanie Roschewitz · Ben Glocker 🔗 |
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Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience
(
Poster
)
>
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Rongguang Wang · Pratik Chaudhari · Christos Davatzikos 🔗 |
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Generative AI for Medical Video De-Identification
(
Poster
)
>
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George Leifman · Idan Kligvasser · Itay Ravia · Michael Elad · Ehud Rivlin 🔗 |
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Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies
(
Poster
)
>
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Gang Qu · Anton Orlichenko · Junqi Wang · Gemeng Zhang · Li Xiao · Aiying Zhang · Zhengming Ding · Yu-Ping Wang 🔗 |
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Low Rank Mixup Augmentations for Contrastive Learning of Phenotypes from Functional Connectivity
(
Poster
)
>
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Anton Orlichenko · Gang Qu · Ziyu Zhou · Anqi Liu · Hui Shen · Hong-Wen Deng · Zhengming Ding · Yu-Ping Wang 🔗 |
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Exploring the Hyperparameter Space of Image Diffusion Models for Echocardiogram Generation
(
Poster
)
>
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Hadrien Reynaud · Bernhard Kainz 🔗 |
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AUC-mixup: Deep AUC Maximization with Mixup
(
Poster
)
>
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JIANZHI XU · Gang Li · Tianbao Yang 🔗 |
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Assessing Self-Supervised Pretraining for Multiple Lung Ultrasound Interpretation Tasks
(
Poster
)
>
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Blake VanBerlo · Brian Li · Jesse Hoey · Alexander Wong 🔗 |
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HEALNet – Improving Medical Image Analysis using Multi-Omic Context via Hybrid Early Fusion
(
Poster
)
>
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Konstantin Hemker · Nikola Simidjievski · Mateja Jamnik 🔗 |
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Double-Condensing Attention Condenser: Leveraging Attention in Deep Learning to Detect Skin Cancer from Skin Lesion Images
(
Poster
)
>
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Chi-en Tai · Elizabeth Janes · Chris Czarnecki · Alexander Wong 🔗 |
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Dual Heteroscedastic Uncertainty Estimation for Probabilistic Unsupervised Volumetric Registration of Noisy Medical Images
(
Poster
)
>
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Xiaoran Zhang · Daniel Pak · Shawn Ahn · Chenyu You · · Alex Wong · Lawrence Staib · James Duncan 🔗 |
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Label Augmentation Method for Medical Landmark Detection in Hip Radiograph Images
(
Poster
)
>
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Yehyun Suh · Peter Chan · Ryan Martin · Daniel Moyer 🔗 |
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Spectral Image-Based Diagnosis of Voice Disorders: Leveraging Spectrograms for Non-Invasive Assessment
(
Poster
)
>
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Sangjae LEE · Kwangsuk Lee · Hansu Cho · Seungmo Cho · Young Min Park · Seung Jin Lee · Hye Rim Chae 🔗 |
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Synthetic Tumor Manipulation: With Radiomics Features
(
Poster
)
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Inye Na · Hyunjin Park 🔗 |
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Dynamic Neural Fields for Learning Atlases of 4D Fetal MRI Time-series
(
Poster
)
>
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Zeen Chi · Zhongxiao Cong · Clinton Wang · Yingcheng Liu · Esra Abaci Turk · Ellen Grant · Mazdak Abulnaga · Polina Golland · Neel Dey 🔗 |
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RE-tune: Incremental Fine Tuning of Biomedical Vision-Language Models for Multi-label Chest X-ray Classification
(
Poster
)
>
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Marco Mistretta · Andrew Bagdanov 🔗 |
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Cancer-Net PCa-Data: An Open-Source Benchmark Dataset for Prostate Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data
(
Poster
)
>
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Hayden Gunraj · Chi-en Tai · Alexander Wong 🔗 |
-
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Self-Supervised Cross-Encoder for Diagnosis of Alzheimer's Disease
(
Poster
)
>
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Fangqi Cheng · Xiaochen Yang 🔗 |
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Convolve and Conquer: Data Comparison with Wiener Filter ( Poster ) > link | Deborah Pelacani Cruz · George Strong · Oscar Bates · Carlos Cueto · Jiashun Yao · Lluis Guasch 🔗 |
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LKA: Large-kernel Attention for Efficient and Robust Brain Lesion Segmentation
(
Poster
)
>
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Liam Chalcroft · Ruben Lourenço Pereira · Mikael Brudfors · Andrew Kayser · Mark D'Esposito · Cathy Price · Ioannis Pappas · John Ashburner 🔗 |
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Ultra-Resolution Cascaded Diffusion Model for Gigapixel Image Synthesis in Histopathology
(
Poster
)
>
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Sarah Cechnicka · Hadrien Reynaud · James Ball · Naomi Simmonds · Catherine Horsfield · Andrew Smith · Candice Roufosse · Bernhard Kainz 🔗 |
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Sculpting Efficiency: Pruning Medical Imaging Models for On-Device Inference
(
Poster
)
>
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Sudarshan Sreeram · Bernhard Kainz 🔗 |
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A Recall On Thin Structures
(
Poster
)
>
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Yannick Kirchhoff · Maximilian R. Rokuss · Saikat Roy · Balint Kovacs · Constantin Ulrich · Tassilo Wald · Maximilian Zenk · Fabian Isensee · Klaus H. Maier-Hein 🔗 |
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M3-X: Multimodal Generative Model for Screening Mammogram Reading and Explanation
(
Poster
)
>
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Man Luo · Amara Tariq · Bhavik Patel · Imon Banerjee 🔗 |
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Towards Generalist Models for Multimodal Clinical Diagnostics
(
Poster
)
>
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Yunxiang Fu · Hong-Yu Zhou · Yizhou Yu 🔗 |
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Rethinking Knee Osteoarthritis Severity Grading: A Few Shot Self-Supervised Contrastive Learning Approach
(
Poster
)
>
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Niamh Belton · Misgina Tsighe Hagos · Aonghus Lawlor · Kathleen Curran 🔗 |
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Universal Noise Annotation: Unveiling the Impact of Noisy annotation on Object Detection
(
Poster
)
>
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Kwangrok Ryoo · Yeonsik Jo · Seungjun Lee · Mira Kim · Ji Ye Kim · Ahra Jo · Seung Hwan Kim · Seungryong Kim · Soonyoung Lee 🔗 |
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On the notion of Hallucinations from the lens of Bias and Validity in Synthetic CXR Images
(
Poster
)
>
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Gauri Bhardwaj · Yuvaraj Govindarajulu · Sundaraparipurnan Narayanan · Manojkumar Parmar 🔗 |
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Temporal Fine-tuning of Medical Vision-Language Representation
(
Poster
)
>
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Haoxu Huang · Kyunghyun Cho · Sumit Chopra · Divyam Madaan 🔗 |
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ProsDectNet: Bridging the Gap in Prostate Cancer Detection via Transrectal B-mode Ultrasound Imaging
(
Poster
)
>
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11 presentersSulaiman Vesal · Indrani Bhattacharya · Hassan Jahanandish · Cynthia Li · Moonhyung Choi · Steve Ran Zhou · Zachary Kornberg · Elijah Richard Sommer · Richard Fan · Geoffrey Sonn · Mirabela Rusu |
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Mapping and Diagnosing Augmented Whole Slide Image Datasets with Training Dynamics
(
Poster
)
>
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Wenqi Shi · Benoit Marteau · Felipe Giuste · May Dongmei Wang 🔗 |
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On Mitigating Shortcut Learning for Fair Chest X-ray Classification
(
Poster
)
>
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Yuzhe Yang · Haoran Zhang · Dina Katabi · Marzyeh Ghassemi 🔗 |
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Mitigating Spurious Correlations for Medical Image Classification via Natural Language Concepts
(
Poster
)
>
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An Yan · Yu Wang · Petros Karypis · Zexue He · Amilcare Gentili · Chun-Nan Hsu · Julian McAuley 🔗 |
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MRI Reconstruction with Fourier-Constrained Diffusion Bridges
(
Poster
)
>
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Muhammad Usama Mirza · Tolga Cukur 🔗 |
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Automated Neuroimaging Pipeline to Identify Structural Biomarkers using Deep Learning Segmentation Applied to Adolescent Mental Disorders
(
Poster
)
>
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Margot Wagner · Brandon Liu · Alessandra Camassa · Gert Cauwenberghs · Terrence Sejnowski 🔗 |
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SITReg: Multi-resolution architecture for symmetric, inverse consistent, and topology preserving image registration
(
Poster
)
>
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Joel Honkamaa · Pekka Marttinen 🔗 |
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Hierarchical Vision Transformers for Context-Aware Prostate Cancer Grading in Whole Slide Images
(
Poster
)
>
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Clément Grisi · Geert Litjens · Jeroen van der Laak 🔗 |
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A multi-modal image pipeline for automated generation of large, labeled H&E image data-sets.
(
Poster
)
>
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Matthew Lee · Victoria Fang · Rami Vanguri · Abigail Zellmer · Amy Baxter · Dokyoon Kim · Derek Oldridge · John Wherry 🔗 |
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Thinking Outside the Box: Orthogonal Approach to Equalizing Protected Attributes
(
Poster
)
>
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Jiahui Liu · Xiaohao Cai · Mahesan Niranjan 🔗 |
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Assessment of Explainable AI Approaches in the Context of Digital Histopathology
(
Poster
)
>
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Alexander Claman · Alicia Bilbao Martinez · Nicolas Echevarrieta-Catalan · Daniel Bilbao-Cortes · Vanessa Aguiar-Pulido 🔗 |
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Performance-based Wisdom of the Crowd Algorithms for Medical Image Dataset Labeling
(
Poster
)
>
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Eeshan Hasan · Erik Duhaime · Jennifer Trueblood 🔗 |
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Enhancing Instance-Level Image Classification with Set-Level Labels
(
Poster
)
>
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Renyu Zhang · Aly Khan · Yuxin Chen · Robert Grossman 🔗 |
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CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations
(
Poster
)
>
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Mehdi Naouar · Gabriel Kalweit · Anusha Klett · Yannick Vogt · paula silvestrini · Diana Laura Infante Ramirez · Roland Mertelsmann · Joschka Boedecker · Maria Kalweit 🔗 |
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ProtoEEGNet: An Interpretable Approach for Detecting Interictal Epileptiform Discharges
(
Poster
)
>
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11 presentersDennis Tang · Frank Willard · Ronan Tegerdine · Luke Triplett · Jon Donnelly · Luke Moffett · Lesia Semenova · Alina Barnett · Jin Jing · Cynthia Rudin · Brandon Westover |
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MoCo-Transfer: Investigating out-of-distribution contrastive learning for limited-data domains
(
Poster
)
>
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Yuwen Chen · Helen Zhou · Zachary Lipton 🔗 |
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Improved Decoding of Audio-Evoked fMRI Sequences with Sequential Transfer Learning
(
Poster
)
>
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Sean Paulsen · Mike Casey 🔗 |
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Patient-adaptive and Learned MRI Data Undersampling Using Neighborhood Clustering
(
Poster
)
>
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Siddhant Gautam · Angqi Li · Saiprasad Ravishankar 🔗 |
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SAM vs BET: A Comparative Study for Brain Extraction and Segmentation of Magnetic Resonance Images using Deep Learning
(
Poster
)
>
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Sovesh Mohapatra · Advait Gosai · Gottfried Schlaug 🔗 |
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Class-Incremental Continual Learning for General Purpose Healthcare Models
(
Poster
)
>
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Amritpal Singh · Mustafa Gurbuz · Prahlad Jasti · Shiva Souhith Gantha 🔗 |
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Uncovering the latent dynamics of whole-brain fMRI tasks with a sequential variational autoencoder
(
Poster
)
>
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Eloy Geenjaar · Donghyun Kim · Riyasat Ohib · Marlena Duda · Amrit Kashyap · Sergey Plis · Vince Calhoun 🔗 |
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Decentralized Sparse Federated Learning for Efficient Training on Distributed NeuroImaging Data
(
Poster
)
>
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Bishal Thapaliya · Riyasat Ohib · Eloy Geenjaar · Jingyu Liu · Vince Calhoun · Sergey Plis 🔗 |
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Multi-task Learning for Optical Coherence Tomography Angiography (OCTA) Vessel Segmentation ( Poster ) > link | Can Koz · Onat Dalmaz · Mertay Dayanc 🔗 |
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Face-GPS: A Comprehensive Technique for Quantifying Facial Muscle Dynamics in Videos
(
Poster
)
>
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Juni Kim · Zhikang Dong · Pawel Polak 🔗 |
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Calibrating Where It Matters: Constrained Temperature Scaling
(
Poster
)
>
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Stephen J. McKenna · Jacob Carse 🔗 |
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Deep Structural Causal Model for Investigating Causality between Genotype and Clinical Phenotype in Neurological Disorders
(
Poster
)
>
|
Fanyang Yu · Rongguang Wang · Pratik Chaudhari · Christos Davatzikos 🔗 |
-
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MIMIC-NLE-v2: Can Large Language Models Reason about Chest X-rays?
(
Poster
)
>
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Maxime Kayser · Oana-Maria Camburu · Thomas Lukasiewicz 🔗 |
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LC-SD: Realistic Endoscopic Image Generation with Stable Diffusion and ControlNet
(
Poster
)
>
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Joanna Kaleta · Diego Dall'Alba · Szymon Płotka · Przemyslaw Korzeniowski 🔗 |
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Zero-Shot Image Registration through Feature Extraction (ZSIR - FE): Medical Image Registration using Pre-Trained Neural Networks
(
Poster
)
>
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Abjasree S · Avinash Kori · ganapathy krishnamurthi 🔗 |
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Semi-Supervised Diffusion Model for Brain Age Prediction
(
Poster
)
>
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Ayodeji Ijishakin · Sophie Martin · Florence Townend · Federica Agosta · James Cole · Andrea Malaspina 🔗 |
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Overcoming Challenges of Small Data and Over-parameterized DNN in fMRI-based Diagnosis
(
Poster
)
>
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Kimia Alavi · Saeed Masoudnia · Ahmad Kalhor · Mohammadreza Nazemzadeh 🔗 |
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Multi-Task Learning for Segmentation of Breast Arterial Calcifications in Mammograms
(
Poster
)
>
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Aisha Urooj · William Charles O'Neill · Hari Trivedi · Imon Banerjee 🔗 |
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Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification
(
Poster
)
>
|
Shuge Lei 🔗 |