Comparison of Semi-supervised Learning Methods for High Content Screening Quality Control. - Umar Masud; Ethan Cohen; Ihab Bendidi; Guillaume Bollot; Auguste Genovesio (ECCV Workshops (4), 2022)

No Free Lunch in Self Supervised Representation Learning. - Ihab Bendidi; Adrien Bardes; Ethan Cohen; Alexis Lamiable; Guillaume Bollot; Auguste Genovesio (CoRR, 2023)

Prompt Performance Prediction for Generative IR. - Nicolas Bizzozzero; Ihab Bendidi; Olivier Risser-Maroix (CoRR, 2023)

ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Images. - Nicolas Bourriez; Ihab Bendidi; Ethan Cohen; Gabriel Watkinson; Maxime Sanchez; Guillaume Bollot; Auguste Genovesio (CoRR, 2023)

ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Image. - Nicolas Bourriez; Ihab Bendidi; Ethan Cohen; Gabriel Watkinson; Maxime Sanchez; Guillaume Bollot; Auguste Genovesio (CVPR, 2024)

Prompt Performance Prediction For Image Generation. - Nicolas Bizzozzero; Ihab Bendidi; Olivier Risser-Maroix (ICIP, 2024)

Weakly Supervised Cross-Modal Learning in High-Content Screening. - Gabriel Watkinson; Ethan Cohen; Nicolas Bourriez; Ihab Bendidi; Guillaume Bollot; Auguste Genovesio (ISBI, 2024)

Benchmarking Transcriptomics Foundation Models for Perturbation Analysis : one PCA still rules them all. - Ihab Bendidi; Shawn Whitfield; Kian Kenyon-Dean; Hanene Ben Yedder; Yassir El Mesbahi; Emmanuel Noutahi; Alisandra K. Denton (CoRR, 2024)

ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy. - Kian Kenyon-Dean; Zitong Jerry Wang; John Urbanik; Konstantin Donhauser; Jason S. Hartford; Saber Saberian; Nil Sahin; Ihab Bendidi; Safiye Celik; Marta M. Fay; Juan Sebastian Rodriguez Vera; Imran S. Haque; et al. (CoRR, 2024)

TxPert: Leveraging Biochemical Relationships for Out-of-Distribution Transcriptomic Perturbation Prediction. - Frederik Wenkel; Wilson Tu; Cassandra Masschelein; Hamed Shirzad; Cian Eastwood; Shawn Whitfield; Ihab Bendidi; Craig Russell; Liam Hodgson; Yassir El Mesbahi; Jiarui Ding; Marta M. Fay; et al. (CoRR, 2025)

A Cross Modal Knowledge Distillation & Data Augmentation Recipe for Improving Transcriptomics Representations through Morphological Features. - Ihab Bendidi; Yassir El Mesbahi; Alisandra K. Denton; Karush Suri; Kian Kenyon-Dean; Auguste Genovesio; Emmanuel Noutahi (CoRR, 2025)