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Maximilian Ilse

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RAD-DINO: Exploring Scalable Medical Image Encoders Beyond Text Supervision

Jan 19, 2024
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

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RadEdit: stress-testing biomedical vision models via diffusion image editing

Dec 21, 2023
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 Nori, Javier Alvarez-Valle, Ozan Oktay, Maximilian Ilse

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Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing

Jan 11, 2023
Shruthi Bannur, Stephanie Hyland, Qianchu Liu, Fernando Perez-Garcia, Maximilian Ilse, Daniel C. Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, Anton Schwaighofer, Maria Wetscherek, Matthew P. Lungren, Aditya Nori, Javier Alvarez-Valle, Ozan Oktay

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Efficient Causal Inference from Combined Observational and Interventional Data through Causal Reductions

Mar 08, 2021
Maximilian Ilse, Patrick Forré, Max Welling, Joris M. Mooij

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Problems using deep generative models for probabilistic audio source separation

Nov 03, 2020
Maurice Frank, Maximilian Ilse

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Designing Data Augmentation for Simulating Interventions

May 06, 2020
Maximilian Ilse, Jakub M. Tomczak, Patrick Forré

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DIVA: Domain Invariant Variational Autoencoders

May 24, 2019
Maximilian Ilse, Jakub M. Tomczak, Christos Louizos, Max Welling

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Attention-based Deep Multiple Instance Learning

Jun 28, 2018
Maximilian Ilse, Jakub M. Tomczak, Max Welling

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Deep Learning with Permutation-invariant Operator for Multi-instance Histopathology Classification

Dec 05, 2017
Jakub M. Tomczak, Maximilian Ilse, Max Welling

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