A clinically motivated self-supervised approach for content-based image retrieval of CT liver images

11 July 2022

Michael C. Kampffmeyer

Robert Jenssen

SSL

ArXiv PDF HTML

Papers citing "A clinically motivated self-supervised approach for content-based image retrieval of CT liver images"

35 / 35 papers shown

Title
ScaleNet: An Unsupervised Representation Learning Method for Limited Information Huili Huang M. M. Roozbahani SSL 93 805 0 03 Oct 2023
Mixing Up Contrastive Learning: Self-Supervised Representation Learning for Time Series Kristoffer Wickstrøm Michael C. Kampffmeyer Karl Øyvind Mikalsen Robert Jenssen SSL AI4TS 37 96 0 17 Mar 2022
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels Stine Hansen Srishti Gautam Robert Jenssen Michael C. Kampffmeyer 98 86 0 03 Mar 2022
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond Anna Hedström Leander Weber Dilyara Bareeva Daniel G. Krakowczyk Franz Motzkus Wojciech Samek Sebastian Lapuschkin Marina M.-C. Höhne XAI ELM 42 175 0 14 Feb 2022
Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation Srishti Gautam Marina M.-C. Höhne Stine Hansen Robert Jenssen Michael C. Kampffmeyer 30 7 0 10 Jan 2022
Explainable Medical Imaging AI Needs Human-Centered Design: Guidelines and Evidence from a Systematic Review Haomin Chen Catalina Gomez Chien-Ming Huang Mathias Unberath 72 126 0 21 Dec 2021
RELAX: Representation Learning Explainability Kristoffer Wickstrøm Daniel J. Trosten Sigurd Løkse Ahcène Boubekki Karl Øyvind Mikalsen Michael C. Kampffmeyer Robert Jenssen FAtt 27 14 0 19 Dec 2021
Understanding Dimensional Collapse in Contrastive Self-supervised Learning Li Jing Pascal Vincent Yann LeCun Yuandong Tian SSL 115 349 0 18 Oct 2021
How Transferable Are Self-supervised Features in Medical Image Classification Tasks? T. Truong Sadegh Mohammadi Matthias Lenga 63 45 0 23 Aug 2021
The Medical Segmentation Decathlon Michela Antonelli Annika Reinke Spyridon Bakas Keyvan Farahani AnnetteKopp-Schneider ... Zhanwei Xu Yefeng Zheng Amber L. Simpson Lena Maier-Hein M. Jorge Cardoso OOD 106 982 0 10 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 642 6,059 0 29 Apr 2021
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features Ashkan Khakzar Yang Zhang W. Mansour Yuezhi Cai Yawei Li Yucheng Zhang Seong Tae Kim Nassir Navab FAtt 76 17 0 01 Apr 2021
Understanding self-supervised Learning Dynamics without Contrastive Pairs Yuandong Tian Xinlei Chen Surya Ganguli SSL 196 283 0 12 Feb 2021
Big Self-Supervised Models Advance Medical Image Classification Shekoofeh Azizi Basil Mustafa Fiona Ryan Zach Beaver Jan Freyberg ... Alan Karthikesalingam Simon Kornblith Ting-Li Chen Vivek Natarajan Mohammad Norouzi SSL 105 514 0 13 Jan 2021
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 247 4,047 0 20 Nov 2020
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series Kristoffer Wickstrøm Karl Øyvind Mikalsen Michael C. Kampffmeyer A. Revhaug Robert Jenssen AI4TS 56 34 0 16 Oct 2020
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation Ran Gu Guotai Wang Tao Song Rui Huang Michael Aertsen Jan Deprest Sébastien Ourselin Tom Vercauteren Shaoting Zhang SSeg 103 465 0 22 Sep 2020
ExplAIn: Explanatory Artificial Intelligence for Diabetic Retinopathy Diagnosis G. Quellec Hassan Al Hajj M. Lamard Pierre-Henri Conze P. Massin B. Cochener 43 54 0 13 Aug 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 215 4,073 0 17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 353 6,792 0 13 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 721 41,894 0 28 May 2020
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI L. Arras Ahmed Osman Wojciech Samek XAI AAML 56 157 0 16 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 345 18,739 0 13 Feb 2020
Restricting the Flow: Information Bottlenecks for Attribution Karl Schulz Leon Sixt Federico Tombari Tim Landgraf FAtt 55 186 0 02 Jan 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 185 12,073 0 13 Nov 2019
Why do These Match? Explaining the Behavior of Image Similarity Models Bryan A. Plummer Mariya I. Vasileva Vitali Petsiuk Kate Saenko David A. Forsyth XAI FAtt 38 18 0 26 May 2019
Unsupervised Scalable Representation Learning for Multivariate Time Series Jean-Yves Franceschi Aymeric Dieuleveut Martin Jaggi SSL AI4TS 49 451 0 30 Jan 2019
Revisiting Self-Supervised Visual Representation Learning Alexander Kolesnikov Xiaohua Zhai Lucas Beyer SSL 138 716 0 25 Jan 2019
The Liver Tumor Segmentation Benchmark (LiTS) Patrick Bilic P. Christ Hongwei Bran Li Eugene Vorontsov Avi Ben-Cohen ... L. Soler Bram van Ginneken H. Greenspan Leo Joskowicz Bjoern Menze 100 1,019 0 13 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.7K 94,729 0 11 Oct 2018
Uncertainty and Interpretability in Convolutional Neural Networks for Semantic Segmentation of Colorectal Polyps Kristoffer Wickstrøm Michael C. Kampffmeyer Robert Jenssen UQCV 49 78 0 16 Jul 2018
RISE: Randomized Input Sampling for Explanation of Black-box Models Vitali Petsiuk Abir Das Kate Saenko FAtt 175 1,169 0 19 Jun 2018
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 385 3,785 0 28 Feb 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,814 0 10 Dec 2015
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 244 4,667 0 21 Dec 2014