MLMI 2026 — 17th International Workshop on Machine Learning in Medical Imaging
Location: Luxembourg (G, ground floor), Strasbourg Convention Center, Strasbourg, France
Poster venue: Hall Rhin (ground floor). Mounting from 08:00; removal by 18:00.
Date: Sunday, September 27, 2026. All times are local to Strasbourg (CEST).
The 17th International Workshop on Machine Learning in Medical Imaging (MLMI 2026) brings together researchers in medical imaging, machine learning, computer vision and artificial intelligence. The workshop advances methods for diagnosis, segmentation, registration, reconstruction and multimodal analysis, with attention to emerging approaches and unresolved challenges. Through keynote talks, oral presentations and poster discussions, MLMI promotes the translation of machine learning research into clinical imaging practice.
08:00 - 08:15: Opening ceremony
08:15 - 09:00: Keynote — Prof. Ulas Bagci (Northwestern University)
Eyes Wide Open: a Decade of Gaze-Guided Medical Intelligence
09:00 - 09:15 (O-1): LEAP-AD: An LLM-Encoded Brain-Heart Axis Prior Injection Framework for Brain-Only Early Alzheimer’s Disease Diagnosis
Authors: Weilin Zhou; Fan Li; Shilun Zhao; Shuwei Bai; Zhichao Liang; Xinnian Yang; Kaicong Sun; Dinggang Shen
Poster 16
09:15 - 09:30 (O-2): Generalist-Specialist Mixture-of-Experts for Rare Pathology Detection in Multimodal Imaging
Authors: Johannes Kaiser; Florian Braunmiller; Daniel Rückert; Georgios Kaissis
Poster 12
09:30 - 09:45 (O-3): Energy-Mamba: A Physics-Constrained State-Space Model for Medical Image Classification
Authors: Mohamed Mabrok; Yalda Zafari; Essam A. Rashed
Poster 8
09:45 - 10:00 (O-4): Clinical Hierarchy and Regional Awareness for Multi-Label Classification of Magnetocardiograms
Authors: Rui Zhang; Dengqiang Jia; Shulin Zhang; Yuexia Wang; Mengyang Kang; Rushuang Zhou; Yining Dong; Dinggang Shen
Poster 11
10:00 - 10:30: Coffee break
10:30 - 11:15: Keynote — Dr. Daguang Xu (NVIDIA)
From Open Data to Medical AI Systems: Foundation Models, Physical AI, and Research Agents
11:15 - 11:30 (O-5): DeJEPA: Non-Contrastive Self-Supervised Learning for Voxel-Level Representations
Authors: Aloys Portafaix; Samuel Kadoury
Poster 35
11:30 - 11:45 (O-6): Representation Matters: Rethinking Domain Generalization in Polyp Segmentation
Authors: Carla Monteiro; Valentina Corbetta; Regina Beets-Tan; Luís F. Teixeira; Wilson Silva
Poster 34
11:45 - 12:00 (O-7): HyProDINO: A Hybrid Prototype Guided DINO Framework for Cross-Domain Few-Shot Medical Image Segmentation
Authors: Tasnim Jahan; Andrew P. King; Swakkhar Shatabda
Poster 42
12:00 - 12:15 (O-8): What Matters is the Prompt: Prompt Sensitivity and Prompt Generation in Foundation Models for Lung Nodule Segmentation
Authors: Jorge F. Lazo; Xixi Liu; Andreas Hallqvist; Mikael Johansson; Åse A Johnsson; Jonas S. Andersson; Jennifer Alvén; Ida Häggström
Poster 39
12:15 - 12:30 (O-9): Inference-Time Orthogonal Seeding Enables Geometry-Aligned 3D Organ Segmentation for Slice-Propagation Methods
Authors: Md Rakibul Haque; Tushar Kataria; Shireen Y. Elhabian
Poster 64
12:30 - 13:30: Lunch break
14:15 - 14:30 (O-10): GAIZ: Automated Detection of Geographic Atrophy Biomarkers via Volumetric OCT using Novel Morphological Objectives
Authors: Sharif Amit Kamran; Matt Y. Cheung; Chaitanya Parmar; Jennifer Y. Luu; Sara Gale; Junrui Di; Kristopher A Standish; Darshana Govind
Poster 56
14:30 - 14:45 (O-11): Beyond Discrimination: Recalibrating Echocardiographic Scar Prediction
Authors: Francesca Righetti; Riccardo Gibello; Yijun Ren; Yuka Kawada; Andra Negru; Luigi Badano; Ender Konukoglu; Enrico Caiani
Poster 17
14:45 - 15:00 (O-12): SC-TauPath: How Structural Connectivity Differences Shape Tau Distribution in Alzheimer’s Disease
Authors: Jing Zhang; Norman Scheel; Minheng Chen; Tong Chen; Yanjun Lyu; David C. Zhu; Rong Zhang; Dajiang Zhu
Poster 5
15:00 - 15:15 (O-13): Beyond Single View: Anatomy-Aware Rib Fracture Diagnosis with Multi-View Aggregation (video)
Authors: Lei Luo; Tao Luo; Jiancheng Yang; Dijia Wu; Zhiming Cui
Poster 10
15:15 - 15:30 (O-14): PPCNet: Projection-Conditioned Point Cloud Reconstruction of Spinal Vertebrae from Biplanar Radiographs
Authors: Rohith Reddy G K; Pandurang; Vivek Maik; Manojkumar Lakshmanan; Mohanasankar Sivaprakasam
Poster 60
15:30 - 16:00: Coffee break
16:45 - 17:00 (O-15): A Task-Controllable Semantic Diffusion Model for Whole-Body PET Enhancement
Authors: Ziyi Chen; Shengjun Li; Yulin Wang; Kaicong Sun; Dinggang Shen
Poster 24
17:00 - 17:15 (O-16): Deep Unrolled Networks in Representation Space Applied to MRI Reconstruction
Authors: Efe Ilıcak; Baris Imre; Chloé Najac; Ruben van den Broek; Beatrice Lena; Andrew Webb; Marius Staring
Poster 27
17:15 - 17:30 (O-17): Inter-Slice Acquisition Budget Allocation for Pathology Aware Accelerated MRI
Authors: Meva Himmetoglu; Ender Konukoglu
Poster 29
17:30 - 17:45 (O-18): SCALE: Structure-preserving Cycle-consistent Atlas Learning for 4D Infant Cerebellum Atlas Construction (video)
Authors: Qingrui Sha; Jiameng Liu; Dan Hu; Jiale Cheng; Yue Sun; Zhengwang Wu; Weili Lin; Li Wang; Gang Li
Poster 26
17:45 - 18:00: Closing remarks and Best Paper Award announcement
All 66 accepted papers are listed below, including papers selected for oral presentation. Poster numbers are consecutive across the four themes and indicate where presenters should display their posters.
Poster notice: All poster presentations will be held in Hall Rhin (ground floor). Mounting begins at 08:00; presenters must remove their posters by 18:00. Boards have been allocated according to the poster numbers provided by each event organizer and will be marked in advance with event-name stickers. Please use the boards labelled with our event name; onsite staff can help presenters locate their designated boards. Any posters remaining after 18:00 will be removed by staff, as Hall Rhin must be prepared for the Main Conference poster sessions starting the following day. Source: MICCAI 2026 Organizing Secretariat.
Poster Session 1: 13:30–14:15, Themes 1–2, posters 1–32.
Poster Session 2: 16:00–16:45, Themes 3–4, posters 33–66.
1. Learning Cross-Atlas Consistent Brain Disorder Representations via Disentangled Multi-Atlas Functional Connectivity Learning
2. Clinical Tabular Data Enhances Multi-modal EEG-fMRI Classification of Alzheimer’s Disease
3. Hierarchical MoE for Multi-Modal ILD Diagnosis
4. SG-VIB: Salience-Gated Variational Information Bottleneck for Robust Invariant Brain Graph Learning
5. SC-TauPath: How Structural Connectivity Differences Shape Tau Distribution in Alzheimer’s Disease
6. Anatomy-Constrained Neural Dynamics Learning with Function-Structure Coupling for Cognitive Decline Analysis
7. Decoding Phenotypes: A Framework for Fusing Genomic Language Models and Neuroimaging
8. Energy-Mamba: A Physics-Constrained State-Space Model for Medical Image Classification
9. Guarantees That Survive a Missing Scan: Modality-Conditional Conformal Prediction for Multimodal Medical Diagnosis
10. Beyond Single View: Anatomy-Aware Rib Fracture Diagnosis with Multi-View Aggregation
11. Clinical Hierarchy and Regional Awareness for Multi-Label Classification of Magnetocardiograms
12. Generalist-Specialist Mixture-of-Experts for Rare Pathology Detection in Multimodal Imaging
13. Leakage-Controlled Resting-State Connectome Classification of Schizophrenia: A Nested Cross-Validation Audit of the COBRE Cohort
14. SAGE-MoE: Subject-Adaptive Genetic-Environmental Guided Mixture-of-Experts for Early Diagnosis of Alzheimer’s Disease
15. Long-Term Prediction of Atrial Fibrillation Severity from Echocardiography Video
16. LEAP-AD: An LLM-Encoded Brain-Heart Axis Prior Injection Framework for Brain-Only Early Alzheimer’s Disease Diagnosis
17. Beyond Discrimination: Recalibrating Echocardiographic Scar Prediction
18. Beyond Global Macro-AUC: Class-Wise Modality Contribution in Multicentre MRI-Based Glioma Grading
19. Train Multimodal, Deploy Unimodal: Hierarchical Cross-Modality Distillation for Brain Disease Diagnosis
20. Gaussian Meta-Space Augmentation for Stacking Ensembles in Multimodal IPMN Risk Stratification
21. HyperAMS-Net: Adaptive Multi-Scale Spatial Hypergraph Network for Brain Disorder Classification
22. CardioMamba: Multi-Frame Temporally Coherent Cine MRI Super-Resolution via State-Space Modeling
23. Optimizing 3D Diffusion Models for Medical Imaging via Multi-Scale Reward Learning
24. A Task-Controllable Semantic Diffusion Model for Whole-Body PET Enhancement
25. Improving Medical Image Generative Models with Fréchet Distance Loss
26. SCALE: Structure-preserving Cycle-consistent Atlas Learning for 4D Infant Cerebellum Atlas Construction
27. Deep Unrolled Networks in Representation Space Applied to MRI Reconstruction
28. Towards Distortion–Perception-Balanced MRI Reconstruction using Posterior-Mean Rectified Flow
29. Inter-Slice Acquisition Budget Allocation for Pathology Aware Accelerated MRI
30. Diffusion-based Zero-shot Image Quality Transfer for Low-Field MRI Enhancement with Nonlinear Conjugate Gradient
31. Model-based distortion correction for Magnetic Resonance Echo Planar Imaging
32. A coarse to fine approach to magnetic resonance spectroscopy quantification
33. M-SFDA: Meta Network with Spatial Interaction for Source-Free Domain Adaptation in Prostate MRI Segmentation using Segment Anything Model
34. Representation Matters: Rethinking Domain Generalization in Polyp Segmentation
35. DeJEPA: Non-Contrastive Self-Supervised Learning for Voxel-Level Representations
36. A Unified 3D Vision-Language Framework for Structured Multi-Study Volumetric Report Generation
37. CIV-DG: Conditional Instrumental Variables for Domain Generalization in Medical Imaging
38. Organ-Aware Longitudinal Report Generation for Abdominal Tumor Assessment from 3D Contrast-Enhanced CT
39. What Matters is the Prompt: Prompt Sensitivity and Prompt Generation in Foundation Models for Lung Nodule Segmentation
40. Augmentation Strategy for DINO in Glaucoma Classification
41. Benchmarking Self-Supervised Pretraining Strategies for Chest X-Ray Triage and Out-of-Distribution Transfer
42. HyProDINO: A Hybrid Prototype Guided DINO Framework for Cross-Domain Few-Shot Medical Image Segmentation
43. Knowledge-injection for small-cohort medical image learning
44. LEEWAY: Same Anatomy, Same Score, Different Verdict Using Paired Falsification Tests in Dental CBCT
45. Prevalence calibration as shortcut mitigation
46. Data leakage and external validation in lung CT segmentation
47. Optimizing Design Choices for Endoscopic Ulcer Segmentation: Foundation Models, Decoders, and SAM-based propagation
48. HyperPatch: Hypercolumns for Transformer Backbones in Medical Segmentation
49. Efficient and Faithful Retrieval-Augmented Medical VQA via Intention-Guided On-Policy Self-Distillation
50. Are robust loss functions still relevant for medical image segmentation with noisy labels?
51. GazeRefine: Expert Gaze as a Test-Time Prompt for Training-Free Medical Image Segmentation
52. Spatially Invariant Multi-Task Learning for Liver Ultrasound–MRI Registration
53. Efficient Test-Time Optimization via Knowledge Distillation for Modality-Agnostic Medical Image Registration
54. Distributional Mutual Correction for Semi-Supervised Pancreas Segmentation
55. Reducing False Positives in Pancreatic Tumor Segmentation via Multi-Scale Texture Enhancement and Curriculum Learning
56. GAIZ: Automated Detection of Geographic Atrophy Biomarkers via Volumetric OCT using Novel Morphological Objectives
57. Flow Matching Meets 3D Curvilinear Structure Segmentation in Medical Imaging
58. Rethinking Medical Landmark Localization with Prototype Learning-based Progressive Offset Correction
59. Learn the Metric, Not the Deformation: A Small Contrastive Encoder for Cross-Modal Histology-MRI Registration
60. PPCNet: Projection-Conditioned Point Cloud Reconstruction of Spinal Vertebrae from Biplanar Radiographs
61. CEVAR: Centerline Embedding Extraction for Endovascular Aneurysm Repair
62. CirrGuide: A Deep Cascaded Framework for Liver Cirrhosis Segmentation and Severity Classification from T2-Weighted MRI
63. MaLViL: Multi-axis Low-rank Vision-LSTM for Medical Image Segmentation
64. Inference-Time Orthogonal Seeding Enables Geometry-Aligned 3D Organ Segmentation for Slice-Propagation Methods
65. SliceLift: Slice-to-Volume Feature Lifting for Volumetric Pancreatic Cyst MRI Segmentation
66. Two-Stage Structure-Conditioned Vessel Segmentation and Keypoint Localization for DIEP Flap Planning