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Standalone Neural ODEs with Sensitivity Analysis


Jun 08, 2022
Rym Jaroudi, Lukáš Malý, Gabriel Eilertsen, B. Tomas Johansson, Jonas Unger, George Baravdish

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* 25 pages, 15 figures; typos corrected 

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Learning via nonlinear conjugate gradients and depth-varying neural ODEs


Feb 11, 2022
George Baravdish, Gabriel Eilertsen, Rym Jaroudi, B. Tomas Johansson, Lukáš Malý, Jonas Unger

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* 26 pages, 3 figures 

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Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications


Dec 10, 2021
Karin Stacke, Jonas Unger, Claes Lundström, Gabriel Eilertsen

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* Pre-print, in submission Journal of Machine Learning for Biomedical Imaging 

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Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection


Sep 17, 2021
Apostolia Tsirikoglou, Karin Stacke, Gabriel Eilertsen, Jonas Unger

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* International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021 

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How to cheat with metrics in single-image HDR reconstruction


Aug 19, 2021
Gabriel Eilertsen, Saghi Hajisharif, Param Hanji, Apostolia Tsirikoglou, Rafal K. Mantiuk, Jonas Unger

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* ICCV 2021 workshop on Learning for Computational Imaging (LCI) 

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Ensembles of GANs for synthetic training data generation


Apr 23, 2021
Gabriel Eilertsen, Apostolia Tsirikoglou, Claes Lundström, Jonas Unger

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* ICLR 2021 workshop on Synthetic Data Generation: Quality, Privacy, Bias 

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A Study of Deep Learning Colon Cancer Detection in Limited Data Access Scenarios


May 22, 2020
Apostolia Tsirikoglou, Karin Stacke, Gabriel Eilertsen, Martin Lindvall, Jonas Unger

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* Presented at the ICLR 2020 Workshop on AI for Overcoming Global Disparities in Cancer Care (AI4CC) 

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Classifying the classifier: dissecting the weight space of neural networks


Feb 13, 2020
Gabriel Eilertsen, Daniel Jönsson, Timo Ropinski, Jonas Unger, Anders Ynnerman

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* ECAI 2020 

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A Closer Look at Domain Shift for Deep Learning in Histopathology


Sep 26, 2019
Karin Stacke, Gabriel Eilertsen, Jonas Unger, Claes Lundström

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* 8 pages, 4 figures. Accepted to COMPAY2019: Second MICCAI Workshop on Computational Pathology 

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