Maximilian Ilse

25 papers A* 3Journal 15Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Closing the Performance Gap Between AI and Radiologists in Chest X-Ray Reporting.
CoRR
Harshita Sharma, Maxwell Reynolds, Valentina Salvatelli, Anne-Marie G. Sykes, Kelly K. Horst, Anton Schwaighofer, Maximilian Ilse, Olesya Melnichenko, Sam Bond-Taylor, Fernando Pérez-García, Vamshi K. Mugu, Alex Chan, Ceylan Colak, Shelby A. Swartz, Motassem B. Nashawaty, Austin J. Gonzalez, Heather A. Ouellette, Selnur B. Erdal, Beth A. Schueler, Maria Teodora Wetscherek, Noel Codella, Mohit Jain, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Stephanie L. Hyland, Panos Korfiatis, Ashish Khandelwal, Javier Alvarez-Valle
2025 J jnl
Comprehensive language-image pre-training for 3D medical image understanding.
CoRR
Tassilo Wald, Ibrahim Ethem Hamamci, Yuan Gao, Sam Bond-Taylor, Harshita Sharma, Maximilian Ilse, Cynthia Lo, Olesya Melnichenko, Noel C. F. Codella, Maria Teodora Wetscherek, Klaus H. Maier-Hein, Korfiatis Panagiotis, Valentina Salvatelli, Javier Alvarez-Valle, Fernando Pérez-García
2025 J jnl
Data Scaling Laws for Radiology Foundation Models.
CoRR
Maximilian Ilse, Harshita Sharma, Anton Schwaighofer, Sam Bond-Taylor, Fernando Pérez-García, Olesya Melnichenko, Anne-Marie G. Sykes, Kelly K. Horst, Ashish Khandelwal, Maxwell Reynolds, Maria T. A. Wetscherek, Noel C. F. Codella, Javier Alvarez-Valle, Korfiatis Panagiotis, Valentina Salvatelli
2025 J jnl
Exploring scalable medical image encoders beyond text supervision.
Nat. Mac. Intell.
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, Stephanie L. Hyland, Javier Alvarez-Valle, Ozan Oktay
2024 — conf
MAIRA at RRG24: A specialised large multimodal model for radiology report generation.
BioNLP@ACL
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, Anja Thieme, Hannah Richardson, Matthew P. Lungren, Stephanie L. Hyland, Javier Alvarez-Valle
2024 J jnl
MAIRA-2: Grounded Radiology Report Generation.
CoRR
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, Julia Gong, Fabian Falck, Ozan Oktay, Anja Thieme, Matthew P. Lungren, Maria Teodora Wetscherek, Javier Alvarez-Valle, Stephanie L. Hyland
2024 — conf
MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models.
ML4H@NeurIPS
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, Hannah Richardson, Maria Wetscherek, Stephanie L. Hyland, Javier Alvarez-Valle
2024 J jnl
MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models.
CoRR
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, Hannah Richardson, Maria Teodora Wetscherek, Stephanie L. Hyland, Javier Alvarez-Valle
2024 J jnl
RAD-DINO: Exploring Scalable Medical Image Encoders Beyond Text Supervision.
CoRR
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, Stephanie L. Hyland, Javier Alvarez-Valle, Ozan Oktay
2024 — conf
RadEdit: Stress-Testing Biomedical Vision Models via Diffusion Image Editing.
ECCV (12)
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, Ozan Oktay, Maximilian Ilse
2023 — conf
AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires.
MLHC
Melanie F. Pradier, Niranjani Prasad, Paidamoyo Chapfuwa, Sahra Ghalebikesabi, Maximilian Ilse, Steven Woodhouse, Rebecca Elyanow, Javier Zazo, Javier González Hernández, Julia Greissl, Edward Meeds
2023 A* conf
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing.
CVPR
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, Matthew P. Lungren, Aditya V. Nori, Javier Alvarez-Valle, Ozan Oktay
2023 J jnl
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing.
CoRR
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, Matthew P. Lungren, Aditya V. Nori, Javier Alvarez-Valle, Ozan Oktay
2023 J jnl
RadEdit: stress-testing biomedical vision models via diffusion image editing.
CoRR
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, Ozan Oktay, Maximilian Ilse
2021 J jnl
Efficient Causal Inference from Combined Observational and Interventional Data through Causal Reductions.
CoRR
Maximilian Ilse, Patrick Forré, Max Welling, Joris M. Mooij
2021 A* conf
Selecting Data Augmentation for Simulating Interventions.
ICML
Maximilian Ilse, Jakub M. Tomczak, Patrick Forré
2020 — conf
DIVA: Domain Invariant Variational Autoencoders.
MIDL
Maximilian Ilse, Jakub M. Tomczak, Christos Louizos, Max Welling
2020 J jnl
Designing Data Augmentation for Simulating Interventions.
CoRR
Maximilian Ilse, Jakub M. Tomczak, Patrick Forré
2020 — conf
Problems using deep generative models for probabilistic audio source separation.
ICBINB@NeurIPS
Maurice Frank, Maximilian Ilse
2020 J jnl
Problems using deep generative models for probabilistic audio source separation.
CoRR
Maurice Frank, Maximilian Ilse
2019 — conf
DIVA: Domain Invariant Variational Autoencoder.
DGS@ICLR
Maximilian Ilse, Jakub M. Tomczak, Christos Louizos, Max Welling
2019 J jnl
DIVA: Domain Invariant Variational Autoencoders.
CoRR
Maximilian Ilse, Jakub M. Tomczak, Christos Louizos, Max Welling
2018 A* conf
Attention-based Deep Multiple Instance Learning.
ICML
Maximilian Ilse, Jakub M. Tomczak, Max Welling
2018 J jnl
Attention-based Deep Multiple Instance Learning.
CoRR
Maximilian Ilse, Jakub M. Tomczak, Max Welling
2017 J jnl
Deep Learning with Permutation-invariant Operator for Multi-instance Histopathology Classification.
CoRR
Jakub M. Tomczak, Maximilian Ilse, Max Welling