Program
[ June 4 2026 | Denver Time | US Mountain Time ]
| Session | Start Time | Talk Title | Speaker(s) |
|---|---|---|---|
| Opening Remarks | 8:50AM | Welcome to CVMI 2026 & Logistics for Hybrid Format | Steve Finkbeiner, MD, Ph.D., UCSF |
| Invited Talk | 9:00AM | Multimodal AI for Healthcare Development: Integrating Imaging, Text, and Genomics | Daguang Xu, Research Manager, NVIDIA |
| Invited Talk | 9:40AM | Vision Transformers for Drug-Induced Toxicity and Mechanism Prediction | Alex Beatson, Ph.D., Axiom Bio |
| Break | 10:20AM | Coffee Break | |
| Invited Talk | 10:40AM | Multi-modal Modeling in Precision Medicine: from Data Imputation to Synthetic Data | Olivier Gevaert, Associate Professor, Stanford University |
| Accepted Paper | 11:20AM | Cross-Modal Knowledge Distillation from Spatial Transcriptomics to Histology | Arbel Hizmi (Weizmann: Reichman)* Artemii Bakulin (Weizmann) Nir Yosef (Weizmann) Shai Bagon (Weizmann) |
| Accepted Paper | 11:30AM | Is Realism Enough? Evaluating Generative Models in Cell Microscopy | Duway Lesmes-Leon (University of Kaiserslautern-Landau (RPTU))* Fabian Schmeisser (University of Kaiserslautern-Landau (RPTU)) Gillian Lovell (Sartorius) Andreas Dengel (University of Kaiserslautern-Landau (RPTU)) Sheraz Ahmed (German Research Center for Artificial Intelligence (DFKI)) |
| Accepted Paper | 11:40AM | Sampling-Aware 3D Spatial Analysis in Multiplexed Imaging | Analysis in Multiplexed Imaging Ido Harlev (Weizmann Institute of Science) Tamar Oukhanov (Weizmann Institute of Science) Raz Ben-Uri (Weizmann Institute of Science) Leeat Keren (Weizmann Institute of Science) Shai Bagon (Weizmann Institute of Science)* |
| Invited Panel | 11:50AM | Beyond the Co-Pilot: When AI Conducts the Science, Who Validates the Vision? | Daguang Xu, Alex Beatson, Olivier Gevaert, Michelle Chan, Vivek Gopal Ramaswamy, Dimitri Metaxas, Steve Finkbeiner, Oren Kraus |
| Break | 12:30PM | Lunch Break | |
| Invited Talk | 13:40 | NOVA: Scalable Vision Foundation Model for Organellome-Wide Phenotyping of Human Neurons | Eran Hornstein, Professor, Weizmann institute of science |
| Accepted Paper | 14:20 | Multimodal for Cervical Cancer Histopathology Classification and Automated Diagnostic Report Generation | Nakasi Rose (Makerere University)* Cosmas Wamozo (Makerere University) Solomon Nsumba (Makerere University) Benjamin Rukundo (Makerere University) Tonny Okecha (Uganda Cancer Institute) Byron Mubiru (Makerere University) |
| Accepted Paper | 14:30 | Vision and Foundation Models for Automated ASTM Grain Size Estimation from Microscopy Images | Abdul Mueez (University of Central Florida)* Shruti Vyas (University of Central Florida) |
| Accepted Paper | 14:40 | Automated Membrane Detection and Subtraction for Structure Determination of Membrane Proteins in Cryogenic Electron Microscopy | Anna Starynska (Yale University)* Christopher JF Cameron ( Biochemistry and Molecular Biophysics, Columbia University) Frederick J. Sigworth ( Yale University) Hemant Tagare (Yale University) |
| Poster Session | 14:50 | Coffee Break & Poster Session | |
| Invited Talk | 15:40 | Learning Multi-Modal Tissue Representations via Enhanced Spatial Barcoding and Sequencing | Michelle Chan, Assistant Professor, Princeton University |
| Accepted Paper | 16:10 | Physics-Informed Spectral Reconstruction for Low-SNR Raman Spectroscopy with Peak-Preserving Constraints | Tanvi Ranga (The State University of NewYork at Buffalo)* Davoud Adinehloo (The State University of NewYork at Buffalo) Nalini Ratha (The State University of NewYork at Buffalo) Varun Chandola (The State University of NewYork at Buffalo) |
| Invited Talk | 16:20 | The Thinking Microscope: Autonomously Designing, Perturbing, and Analyzing Biological Experiments | Vivek Gopal Ramaswamy, Senior Software Engineer, UCSF Gladstone Institutes |
| Work-in-Progress | 16:50 | Training-free model adaptation for foundation model guided H&E to multiplex immunofluorescence image generation | Dushyant Mehra, Harish K. Srinivasan, Payal Kapur, Kevin Dean, Satwik Rajaram |
| Work-in-Progress | 17:00 | Deep learning-based feature extraction enables high-throughput single-cell phenotyping in S. cerevisiae and E. coli | Jiaan Zhu, Sander K. Govers, KU Leuven |
| Closing Remarks | 17:10 | Closing Remarks & Look Forward to CVMI 2027 | Mei Chen, Ph.D., Dolby |