Deep learning and Bayesian inference for medical imaging

Publications

Conference proceedings (11)

VAE with a VampPrior

Author(s): Jakub Tomczak, Max Welling
Published in: Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics, PMLR 84, 2018, Page(s) 1214-1223
Publisher: Journal of Machine Learning Research

Improving variational auto-encoders using householder flow

Author(s): Jakub M Tomczak, Max Welling
Published in: Bayesian Deep Learning Workshop @ NIPS 2016, 2016, Page(s) 8
Publisher: Bayesian Deep Learning Workshop @ NIPS 2016

Improving Variational Auto-Encoders using convex combination linear Inverse Autoregressive Flow

Author(s): Jakub M. Tomczak, M Welling
Published in: Benelearn 2017: Proceedings of the Twenty-Sixth Benelux Conference on Machine Learning, 2017, Page(s) 162-164
Publisher: TU/e

A deep multiple instance model to predict prostate cancer metastasis from nuclear morphology

Author(s): Nathan Ing, Jakub M Tomczak, Eric Miller, Isla P Garraway, Max Welling, Beatrice S Knudsen, Arkadiusz Gertych
Published in: Medical Imaging with Deep Learning, 2018
Publisher: OpenReview

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

Author(s): Jakub Tomczak, Maximilian Ilse and Max Welling
Published in: MEDICAL IMAGING MEETS NIPS 2017, 2017
Publisher: arXiv

Sylvester Normalizing Flows for Variational Inference

Author(s): Rianne van den Berg, Leonard Hasenclever, Jakub M. Tomczak, Max Welling
Published in: Uncertainty in Artificial Intelligence Proceedings of the Thirty-Fourth Conference (2018), 2018
Publisher: UAI 2018

Attention-based Deep Multiple Instance Learning

Author(s): Maximilian Ilse, Jakub Tomczak, Max Welling
Published in: Volume 80: International Conference on Machine Learning, 10-15 July 2018, Stockholmsmässan, Stockholm Sweden, PMLR 80, 2018, Page(s) 2127-2136
Publisher: PMLR

Hierarchical VampPrior Variational Fair Auto-Encoder

Author(s): Philip Botros and Jakub Tomczak
Published in: Theoretical Foundations and Applications of Deep Generative Models @ ICML 2018, 2018
Publisher: Theoretical Foundations and Applications of Deep Generative Models @ ICML 2018

Variational Inference with Orthogonal Normalizing Flows

Author(s): Leonard Hasenclever, Jakub Tomczak, Rianne van den Berg and Max Welling
Published in: Bayesian Deep Learning @ NIPS 2017, 2017
Publisher: Bayesian Deep Learning @ NIPS 2017

Histopathological classification of precursor lesions of esophageal adenocarcinoma: A Deep Multiple Instance Learning Approach

Author(s): Jakub M Tomczak, Maximilian Ilse, Max Welling, Marnix Jansen, Helen G Coleman, Marit Lucas, Kikki de Laat, Martijn de Bruin, Henk Marquering, Myrtle J van der Wel, Onno J de Boer, C Dilara Savci Heijink, Sybren L Meijer
Published in: Medical Imaging with Deep Learning, 2018
Publisher: OpenReview

Hyperspherical Variational Auto-Encoders

Author(s): Tim R. Davidson, Luca Falorsi, Nicola De Cao, Thomas Kipf, Jakub M. Tomczak
Published in: Uncertainty in Artificial Intelligence Proceedings of the Thirty-Fourth Conference (2018), 2018
Publisher: UAI 2018