Transfusion: Understanding Transfer Learning for Medical Imaging

14 February 2019

Papers citing "Transfusion: Understanding Transfer Learning for Medical Imaging"

45 / 95 papers shown

Title
Turath-150K: Image Database of Arab Heritage Dani Kiyasseh Rasheed el-Bouri 13 0 0 01 Jan 2022
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models Narinder Singh Punn Sonali Agarwal SSL 30 34 0 07 Dec 2021
Revisiting the Transferability of Supervised Pretraining: an MLP Perspective Yizhou Wang Shixiang Tang Feng Zhu Lei Bai Rui Zhao Donglian Qi Wanli Ouyang 21 51 0 01 Dec 2021
An Educated Warm Start For Deep Image Prior-Based Micro CT Reconstruction Riccardo Barbano Johannes Leuschner Maximilian Schmidt Alexander Denker A. Hauptmann Peter Maass Bangti Jin 29 19 0 23 Nov 2021
Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels Benoit Dufumier Pietro Gori J. Victor Antoine Grigis Edouard Duchesnay MedIm 16 6 0 10 Nov 2021
Exploring the Limits of Large Scale Pre-training Samira Abnar Mostafa Dehghani Behnam Neyshabur Hanie Sedghi AI4CE 50 114 0 05 Oct 2021
Self-supervised learning methods and applications in medical imaging analysis: A survey Saeed Shurrab R. Duwairi OOD 32 173 0 17 Sep 2021
How Transferable Are Self-supervised Features in Medical Image Classification Tasks? T. Truong Sadegh Mohammadi Matthias Lenga 32 45 0 23 Aug 2021
Do Vision Transformers See Like Convolutional Neural Networks? M. Raghu Thomas Unterthiner Simon Kornblith Chiyuan Zhang Alexey Dosovitskiy ViT 17 922 0 19 Aug 2021
FREE: Feature Refinement for Generalized Zero-Shot Learning Shiming Chen Wenjie Wang Beihao Xia Qinmu Peng Xinge You Feng Zheng Ling Shao VLM 10 132 0 29 Jul 2021
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer Yoni Schirris E. Gavves I. Nederlof H. Horlings Jonas Teuwen 23 92 0 20 Jul 2021
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties (Technical Report) Yinjun Wu James Weimer S. Davidson 10 4 0 19 Jul 2021
Adversarial Training Helps Transfer Learning via Better Representations Zhun Deng Linjun Zhang Kailas Vodrahalli Kenji Kawaguchi James Y. Zou GAN 34 52 0 18 Jun 2021
HistoTransfer: Understanding Transfer Learning for Histopathology Yash Sharma L. Ehsan Sana Syed Donald E. Brown MedIm 10 21 0 13 Jun 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 18 568 0 27 May 2021
Correlated Input-Dependent Label Noise in Large-Scale Image Classification Mark Collier Basil Mustafa Efi Kokiopoulou Rodolphe Jenatton Jesse Berent NoLa 176 53 0 19 May 2021
Automated Cleanup of the ImageNet Dataset by Model Consensus, Explainability and Confident Learning Csaba Kertész VLM SSL 23 45 0 30 Mar 2021
Self-Supervised Pretraining Improves Self-Supervised Pretraining Colorado Reed Xiangyu Yue Aniruddha Nrusimha Sayna Ebrahimi Vivek Vijaykumar ... Shanghang Zhang Devin Guillory Sean L. Metzger Kurt Keutzer Trevor Darrell 23 104 0 23 Mar 2021
Prediction of lung and colon cancer through analysis of histopathological images by utilizing Pre-trained CNN models with visualization of class activation and saliency maps Satvik Garg Somya Garg 12 60 0 22 Mar 2021
An Empirical Framework for Domain Generalization in Clinical Settings Haoran Zhang Natalie Dullerud Laleh Seyyed-Kalantari Q. Morris Shalmali Joshi Marzyeh Ghassemi OOD AI4CE 12 59 0 20 Mar 2021
Detecting Spurious Correlations with Sanity Tests for Artificial Intelligence Guided Radiology Systems U. Mahmood Robik Shrestha D. Bates L. Mannelli G. Corrias Y. Erdi Christopher Kanan 16 16 0 04 Mar 2021
An Interpretable Multiple-Instance Approach for the Detection of referable Diabetic Retinopathy from Fundus Images Alexandros Papadopoulos F. Topouzis A. Delopoulos 25 26 0 02 Mar 2021
Self-Tuning for Data-Efficient Deep Learning Ximei Wang Jing Gao Mingsheng Long Jianmin Wang BDL 19 69 0 25 Feb 2021
Domain Adaptation for Medical Image Analysis: A Survey Hao Guan Mingxia Liu OOD 26 526 0 18 Feb 2021
Self-supervised driven consistency training for annotation efficient histopathology image analysis C. Srinidhi Seung Wook Kim Fu-Der Chen Anne L. Martel SSL 13 109 0 07 Feb 2021
Damage detection using in-domain and cross-domain transfer learning Z. Bukhsh N. Jansen Aaqib Saeed 26 42 0 07 Feb 2021
An Active Learning Method for Diabetic Retinopathy Classification with Uncertainty Quantification Muhammad Ahtazaz Ahsan A. Qayyum Junaid Qadir Adeel Razi BDL 8 19 0 24 Dec 2020
How Well Do Self-Supervised Models Transfer? Linus Ericsson H. Gouk Timothy M. Hospedales SSL 24 274 0 26 Nov 2020
Teaching with Commentaries Aniruddh Raghu M. Raghu Simon Kornblith D. Duvenaud Geoffrey E. Hinton 12 24 0 05 Nov 2020
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images Pablo Messina Pablo Pino Denis Parra Alvaro Soto Cecilia Besa S. Uribe Marcelo andía C. Tejos Claudia Prieto Daniel Capurro MedIm 17 62 0 20 Oct 2020
Which Model to Transfer? Finding the Needle in the Growing Haystack Cédric Renggli André Susano Pinto Luka Rimanic J. Puigcerver C. Riquelme Ce Zhang Mario Lucic 21 23 0 13 Oct 2020
Grading Loss: A Fracture Grade-based Metric Loss for Vertebral Fracture Detection M. Husseini Anjany Sekuboyina Maximilian Loeffler Fernando Navarro Bjoern H. Menze Jan S. Kirschke 12 20 0 18 Aug 2020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises S. Kevin Zhou H. Greenspan Christos Davatzikos James S. Duncan Bram van Ginneken A. Madabhushi Jerry L. Prince Daniel Rueckert Ronald M. Summers 38 623 0 02 Aug 2020
Uniformizing Techniques to Process CT scans with 3D CNNs for Tuberculosis Prediction H. Zunair Aimon Rahman Nabeel Mohammed Joseph Paul Cohen 37 80 0 26 Jul 2020
Rethinking CNN Models for Audio Classification Kamalesh Palanisamy Dipika Singhania Angela Yao SSL 20 144 0 22 Jul 2020
Double Double Descent: On Generalization Errors in Transfer Learning between Linear Regression Tasks Yehuda Dar Richard G. Baraniuk 18 19 0 12 Jun 2020
Critical Assessment of Transfer Learning for Medical Image Segmentation with Fully Convolutional Neural Networks Davood Karimi Simon K. Warfield Ali Gholipour MedIm 9 19 0 30 May 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 30 120 0 26 Mar 2020
Towards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning S. Devalla T. Pham S. Panda Zhang Liang Giridhar Subramanian ... L. Schmetterer S. Perera Tin Aung Alexandre Hoang Thiery M. Girard 20 29 0 22 Feb 2020
Big Transfer (BiT): General Visual Representation Learning Alexander Kolesnikov Lucas Beyer Xiaohua Zhai J. Puigcerver Jessica Yung Sylvain Gelly N. Houlsby MQ 26 1,183 0 24 Dec 2019
Deep Semantic Segmentation of Natural and Medical Images: A Review Saeid Asgari Taghanaki Kumar Abhishek Joseph Paul Cohen Julien Cohen-Adad Ghassan Hamarneh SSeg VLM 31 666 0 16 Oct 2019
A Closer Look at Domain Shift for Deep Learning in Histopathology Karin Stacke Gabriel Eilertsen Jonas Unger Claes Lundström OOD 10 63 0 25 Sep 2019
Pretraining boosts out-of-domain robustness for pose estimation Alexander Mathis Thomas Biasi Steffen Schneider Mert Yüksekgönül Byron Rogers Matthias Bethge Mackenzie W. Mathis OOD 19 122 0 24 Sep 2019
Investigating Multilingual NMT Representations at Scale Sneha Kudugunta Ankur Bapna Isaac Caswell N. Arivazhagan Orhan Firat LRM 136 120 0 05 Sep 2019
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives Elena Voita Rico Sennrich Ivan Titov 190 181 0 03 Sep 2019