Deep Learning with Permutation-invariant Operator for Multi-instance Histopathology Classification. - Jakub M. Tomczak; Maximilian Ilse; Max Welling (CoRR, 2017)

Attention-based Deep Multiple Instance Learning. - Maximilian Ilse; Jakub M. Tomczak; Max Welling (ICML, 2018)

DIVA: Domain Invariant Variational Autoencoder. - Maximilian Ilse; Jakub M. Tomczak; Christos Louizos; Max Welling (DGS@ICLR, 2019)

Problems using deep generative models for probabilistic audio source separation. - Maurice Frank; Maximilian Ilse (ICBINB@NeurIPS, 2020)

DIVA: Domain Invariant Variational Autoencoders. - Maximilian Ilse; Jakub M. Tomczak; Christos Louizos; Max Welling (MIDL, 2020)

Designing Data Augmentation for Simulating Interventions. - Maximilian Ilse; Jakub M. Tomczak; Patrick Forré (CoRR, 2020)

Selecting Data Augmentation for Simulating Interventions. - Maximilian Ilse; Jakub M. Tomczak; Patrick Forré (ICML, 2021)

Efficient Causal Inference from Combined Observational and Interventional Data through Causal Reductions. - Maximilian Ilse; Patrick Forré; Max Welling; Joris M. Mooij (CoRR, 2021)

Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing. - Shruthi Bannur; Stephanie L. Hyland; Qianchu Liu; Fernando Pérez-García; Maximilian Ilse; Daniel C. Castro; Benedikt Boecking; Harshita Sharma; Kenza Bouzid; Anja Thieme; Anton Schwaighofer; Maria Wetscherek; et al. (CVPR, 2023)

AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires. - Melanie F. Pradier; Niranjani Prasad; Paidamoyo Chapfuwa; Sahra Ghalebikesabi; Maximilian Ilse; Steven Woodhouse; Rebecca Elyanow; Javier Zazo; Javier González Hernández; Julia Greissl; Edward Meeds (MLHC, 2023)

MAIRA at RRG24: A specialised large multimodal model for radiology report generation. - Shaury Srivastav; Mercy Ranjit; Fernando Pérez-García; Kenza Bouzid; Shruthi Bannur; Daniel C. Castro; Anton Schwaighofer; Harshita Sharma; Maximilian Ilse; Valentina Salvatelli; Sam Bond-Taylor; Fabian Falck; et al. (BioNLP@ACL, 2024)

RadEdit: Stress-Testing Biomedical Vision Models via Diffusion Image Editing. - Fernando Pérez-García; Sam Bond-Taylor; Pedro P. Sanchez; Boris van Breugel; Daniel C. Castro; Harshita Sharma; Valentina Salvatelli; Maria T. A. Wetscherek; Hannah Richardson; Matthew P. Lungren; Aditya V. Nori; Javier Alvarez-Valle; et al. (ECCV (12), 2024)

MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models. - Harshita Sharma; Valentina Salvatelli; Shaury Srivastav; Kenza Bouzid; Shruthi Bannur; Daniel C. Castro; Maximilian Ilse; Sam Bond-Taylor; Mercy Prasanna Ranjit; Fabian Falck; Fernando Pérez-García; Anton Schwaighofer; et al. (ML4H@NeurIPS, 2024)

RAD-DINO: Exploring Scalable Medical Image Encoders Beyond Text Supervision. - Fernando Pérez-García; Harshita Sharma; Sam Bond-Taylor; Kenza Bouzid; Valentina Salvatelli; Maximilian Ilse; Shruthi Bannur; Daniel C. Castro; Anton Schwaighofer; Matthew P. Lungren; Maria Wetscherek; Noel Codella; et al. (CoRR, 2024)

MAIRA-2: Grounded Radiology Report Generation. - Shruthi Bannur; Kenza Bouzid; Daniel C. Castro; Anton Schwaighofer; Sam Bond-Taylor; Maximilian Ilse; Fernando Pérez-García; Valentina Salvatelli; Harshita Sharma; Felix Meissen; Mercy Ranjit; Shaury Srivastav; et al. (CoRR, 2024)

Exploring scalable medical image encoders beyond text supervision. - Fernando Pérez-García; Harshita Sharma; Sam Bond-Taylor; Kenza Bouzid; Valentina Salvatelli; Maximilian Ilse; Shruthi Bannur; Daniel C. Castro; Anton Schwaighofer; Matthew P. Lungren; Maria Teodora Wetscherek; Noel Codella; et al. (Nat. Mac. Intell., 2025)