LOCATION: Room Etoile A (Floor U)
Time
Speaker
Institute
Talk
8:00-8:15
Poster Hanging Up
8:15-8:20
Long Bai
Alibaba
Welcome Speech & Workshop Introduction
8:20-8:50
5-min Oral Pitch Session 1
ID #09 Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment
ID #10 Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models
ID #13 MLSFP-CL: Label- and Compute-Efficient Contrastive Learning for Lung Nodule Classification in Small-Data Settings
ID #16 Unsupervised Adaptation of 3D CT Foundation Models for 3D CBCT Segmentation
ID #17 Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation
8:50-9:20
Yixuan Yuan
CUHK
[Keynote] TBA
9:20-9:50
Tao Tan
MPU
[Keynote] TBA
9:50-10:30
Coffee Break & Poster Session
10:30-11:00
Stefanie Speidel
NCT Dresden
[Keynote] TBA
11:00-11:30
Aniruddha Agarwal
Cleveland Clinic Abu Dhabi
[Keynote] TBA
11:30-11:55
5-min Oral Pitch Session 2
ID #18 Accelerating Chest X-ray Report Generation for Tuberculosis Screening in Indonesia: An Efficiency-Aware Benchmark of Quantized and Distilled Vision-Language Models
ID #20 BIEM: Bridging Implicit and Explicit Temporal Modeling for Surgical Phase Recognition
ID #22 A Tiny Correction in the Right Place: Adapting a Fluorescence Super-Resolution Foundation Model
ID #25 How Many Labels Are Enough? ALDA: Active Learning Deployment Advisor for Medical Image Classification
1155-12:25
Rising Star Forum (12-min Talk + 3-min QA)
12:25-12:30
Mobarak I. Hoque
UoM
Closing Remarks & Award Session
Poster Presentation IDs
ID #01 StrokeSeg2: Stroke Lesion Segmentation in Clinical Research Workflows
ID #02 Frequency-Hierarchical Active k-Space Sampling for Diagnostic MRI
ID #03 Test-Time Instance Selection for Improved Whole Slide Image Analysis
ID #04 Active Few-Shot Segmentation by Reinforcing Data Selection
ID #05 One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional Normalization and Continuous Magnification Training
ID #06 Clinical Graph-Mediated Distillation for Unpaired MRI-to-CFI Hypertension Prediction
ID #07 Nine Dimensions Are Enough for Patch-Level Classification with Histopathology Foundation Model Embeddings
ID #08 Efficient Fine-Tuning of Locally Deployable LLMs for Structured Data Extraction from Longitudinal Orthodontic Progress Notes
ID #09 Boosting Generalizable Depth Estimation in Endoscopy by Mixture of Lightweight Experts and Intrinsic Image Alignment
ID #10 Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models
ID #11 RadYOLO: Computationally Efficient 3D Object Detection and Segmentation in CT and MRI
ID #12 How Do Train-Time Pruning Dynamics and Pruning Schedules Affect Retinal Vessel Segmentation?
ID #13 MLSFP-CL: Label- and Compute-Efficient Contrastive Learning for Lung Nodule Classification in Small-Data Settings
ID #14 Edge2Prompt: Modality-Agnostic Model for Out-of-Distribution Liver Segmentation
ID #15 Low-Rank Adaptation for Efficient Contrast Specialization of 3D MRI Diffusion Models
ID #16 Unsupervised Adaptation of 3D CT Foundation Models for 3D CBCT Segmentation
ID #17 Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation
ID #18 Accelerating Chest X-ray Report Generation for Tuberculosis Screening in Indonesia: An Efficiency-Aware Benchmark of Quantized and Distilled VLMs
ID #19 Segmentation Without Full Logits: Fused Kernels for Memory-Efficient Many-Class Models
ID #20 BIEM: Bridging Implicit and Explicit Temporal Modeling for Surgical Phase Recognition
ID #21 When Efficiency Meets Fragility: Adversarial Vulnerability Shifts in Quantized Medical VLMs
ID #22 A Tiny Correction in the Right Place: Adapting a Fluorescence Super-Resolution Foundation Model
ID #23 MoPET: Parameter-Efficient Mixture-of-Experts for Unified Medical Image Classification
ID #24 Towards Grounded GI Endoscopy VQA via Multi-Task Learning on Small VLMs
ID #25 How Many Labels Are Enough? ALDA: Active Learning Deployment Advisor for Medical Image Classification
ID #26 SGCA-UNet: Semantic-Geometric Coherence Attention U-Net for Joint Segmentation and Classification of Medical Images
ID #27 Guess Where the Pancreas Is: Scalable 3D Foundation Features with Finite Quantisation, Neighbourhood Attention and Red-Black Masking
ID #28 Segmentation Pre-training for Label-Efficient Lumbar Spine Degeneration Grading
ID #29 InceptionMamba: Efficient Multi-Stage Feature Enhancement with Selective State Space Model for 2D Medical Image Segmentation
ID #30 SecondOpinion: Anatomy-Aware Gated Reasoning for Efficient Medical Image Analysis
ID #31 Outlier-Suppressed Transformer for Efficient 3D Medical Image Segmentation