CVPR 2025 Past GenomicsComputer vision

1st CVPR Workshop on Computer Vision For Drug Discovery (CVDD): Where are we and What is Beyond?

CVDD CVPR2025 Workshop

Submission deadline
May 1, 2025, 12:00 UTC
imported from OpenReview — check the website for extensions
Submission portal
OpenReview
Notes
Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).

Accepted papers (11)

Fetched from OpenReview (v2) on 2026-06-10.

  1. BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology

    Amaya Gallagher-Syed, Henry Senior, Omnia Alwazzan, ELENA PONTARINI, Michele Bombardieri, Costantino Pitzalis, Myles J. Lewis, Michael R Barnes, Luca Rossi, Gregory Slabaugh · PDF
  2. Bridging Morphology and Molecular Signatures: Multi-Task Deep Learning for Multi-Omics Prediction from Histopathology

    Fatemeh Dashtiahangar, Jiann-Shiun Yuan · PDF
  3. Bridging Self-Supervision and Mechanism of Action Discovery in Morphological Profiling

    Syed Sameed Husain, Jan Bober, Amaia Irizar, Miroslaw Bober · PDF
  4. CellRep: A Multichannel Image Representation Learning Model

    Lawrence Phillips · PDF
  5. Drug Discovery Agent: An Automated Vision Detection System for Drug-Cell Interactions

    Adib Bazgir, Yuwen Zhang · PDF
  6. HCS-DFC: A Diffusion Classifier for Mode of Action Prediction Using Morphological Profiles

    Jakub Kościukiewicz, Bartosz Michał Zieliński, Dawid Damian Rymarczyk · PDF
  7. LNTransformer: Lung Nodule Transformer for Sparse CT Segmentation

    Hooman Ramezani · PDF
  8. Revealing Subtle Phenotypes in Small Microscopy Datasets Using Latent Diffusion Models

    Anis Bourou, Biel Castaño Segade, Thomas Boyer, Valérie MEZGER, Auguste Genovesio · PDF
  9. Revolutionizing Drug Discovery: Integrating Spatial Transcriptomics with Advanced Computer Vision Techniques

    Zichao Li, Shiqing Qiu, Zong Ke · PDF
  10. Segment AnyNeuron

    Taha Razzaq, Ahmed Rashid Qazi, Asim Iqbal · PDF
  11. Towards exploring continual learning for toxicologic pathology in pharmaceutical drug discovery

    Arijit Patra, Jinge Wu, Honghan Wu, Anshul Thakur · PDF