Transfusion: Understanding Transfer Learning for Medical Imaging

14 February 2019

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

37 / 37 papers shown

Title
MedNNS: Supernet-based Medical Task-Adaptive Neural Network Search Lotfi Abdelkrim Mecharbat Ibrahim Almakky Martin Takac Mohammad Yaqub 105 0 0 22 Apr 2025
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries F. Jonske M. Kim Enrico Nasca J. Evers Johannes Haubold ... F. Nensa Michael Kamp C. Seibold Jan Egger Jens Kleesiek 150 1 0 17 Feb 2025
FedTLU: Federated Learning with Targeted Layer Updates Jong-Ik Park Carlee Joe-Wong FedML 127 0 0 28 Jan 2025
Brain Tumor Classification on MRI in Light of Molecular Markers Jun Liu Geng Yuan Weihao Zeng Hao Tang Wenbin Zhang Xue Lin Xiaolin Xu Dong Huang Yanzhi Wang 49 2 0 29 Sep 2024
MedMerge: Merging Models for Effective Transfer Learning to Medical Imaging Tasks Ibrahim Almakky Santosh Sanjeev Anees Ur Rehman Hashmi Mohammad Areeb Qazi Mohammad Yaqub Mohammad Yaqub FedML MoMe 123 4 0 18 Mar 2024
A Foundation Language-Image Model of the Retina (FLAIR): Encoding Expert Knowledge in Text Supervision Julio Silva-Rodríguez H. Chakor Riadh Kobbi Jose Dolz Ismail Ben Ayed VLM MedIm 181 42 0 15 Aug 2023
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation Julio Silva-Rodríguez Jose Dolz Ismail Ben Ayed 127 13 0 29 Mar 2023
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors Christos Matsoukas Johan Fredin Haslum Moein Sorkhei Magnus P Soderberg Kevin Smith VLM OOD MedIm 91 88 0 02 Mar 2022
Investigating Multilingual NMT Representations at Scale Sneha Kudugunta Ankur Bapna Isaac Caswell N. Arivazhagan Orhan Firat LRM 161 124 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 255 186 0 03 Sep 2019
Similarity of Neural Network Representations Revisited Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton 136 1,408 0 01 May 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 110 2,583 0 21 Jan 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 96 2,662 0 29 Nov 2018
Rethinking ImageNet Pre-training Kaiming He Ross B. Girshick Piotr Dollár VLM SSeg 116 1,083 0 21 Nov 2018
Domain Adaptive Transfer Learning with Specialist Models Jiquan Ngiam Daiyi Peng Vijay Vasudevan Simon Kornblith Quoc V. Le Ruoming Pang 52 108 0 16 Nov 2018
Understanding Learning Dynamics Of Language Models with SVCCA Naomi Saphra Adam Lopez 52 94 0 01 Nov 2018
A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation Akhilesh Deepak Gotmare N. Keskar Caiming Xiong R. Socher ODL 59 276 0 29 Oct 2018
Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation Liwei Wang Lunjia Hu Jiayuan Gu Y. Wu Zhiqiang Hu Kun He John E. Hopcroft SSL 57 116 0 28 Oct 2018
Direct Uncertainty Prediction for Medical Second Opinions M. Raghu Katy Blumer Rory Sayres Ziad Obermeyer Robert D. Kleinberg S. Mullainathan Jon M. Kleinberg OOD UD 77 137 0 04 Jul 2018
Neural Networks Trained to Solve Differential Equations Learn General Representations M. Magill F. Qureshi H. W. Haan 35 64 0 29 Jun 2018
Insights on representational similarity in neural networks with canonical correlation Ari S. Morcos M. Raghu Samy Bengio DRL 52 445 0 14 Jun 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 146 1,323 0 23 May 2018
Taskonomy: Disentangling Task Transfer Learning Amir Zamir Alexander Sax Bokui (William) Shen Leonidas Guibas Jitendra Malik Silvio Savarese 88 1,215 0 23 Apr 2018
Deep Image Prior Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky SupR 112 3,147 0 29 Nov 2017
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning Pranav Rajpurkar Jeremy Irvin Kaylie Zhu Brandon Yang Hershel Mehta ... Aarti Bagul C. Langlotz K. Shpanskaya M. Lungren A. Ng LM&MA 78 2,696 0 14 Nov 2017
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases Xiaosong Wang Yifan Peng Le Lu Zhiyong Lu M. Bagheri Ronald M. Summers LM&MA 135 2,521 0 05 May 2017
Detecting Cancer Metastases on Gigapixel Pathology Images Yun-Hui Liu Krishna Gadepalli Mohammad Norouzi George E. Dahl Timo Kohlberger ... Phil Q. Nelson G. Corrado J. Hipp L. Peng Martin C. Stumpe MedIm LM&MA 65 640 0 03 Mar 2017
What makes ImageNet good for transfer learning? Minyoung Huh Pulkit Agrawal Alexei A. Efros OOD SSeg VLM SSL 99 676 0 30 Aug 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 704 36,708 0 25 Aug 2016
Deep Learning for Identifying Metastatic Breast Cancer Dayong Wang A. Khosla Rishab Gargeya H. Irshad Andrew H. Beck MedIm 67 940 0 18 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.7K 193,390 0 10 Dec 2015
Convergent Learning: Do different neural networks learn the same representations? Yixuan Li J. Yosinski Jeff Clune Hod Lipson John E. Hopcroft SSL 81 367 0 24 Nov 2015
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation Hoo-Chang Shin Le Lu Lauren Kim Ari Seff Jianhua Yao Ronald M. Summers 50 46 0 04 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 405 43,234 0 11 Feb 2015
Understanding Deep Image Representations by Inverting Them Aravindh Mahendran Andrea Vedaldi FAtt 102 1,963 0 26 Nov 2014
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 183 8,321 0 06 Nov 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 383 43,589 0 17 Sep 2014