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Rethinking Transfer Learning for Medical Image Classification

9 June 2021

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Papers citing "Rethinking Transfer Learning for Medical Image Classification"

24 / 24 papers shown

Title
Imbalanced Classification in Medical Imaging via Regrouping Le Peng Yash Travadi Rui Zhang Yingwei Cui Ju Sun OOD 76 4 0 21 Oct 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 362 1,163 0 27 Apr 2021
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification Chun-Fu Chen Quanfu Fan Yikang Shen ViT 71 1,484 0 27 Mar 2021
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation Jeya Maria Jose Valanarasu Poojan Oza Ilker Hacihaliloglu Vishal M. Patel ViT MedIm 108 993 0 21 Feb 2021
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients M. Iglesia-Vayá J. Saborit J. Montell A. Pertusa A. Bustos ... Domingo Orozco-Beltrán Francisco García-García M. Caparrós G. González J. M. Salinas 51 229 0 01 Jun 2020
A Comprehensive Survey on Transfer Learning Fuzhen Zhuang Zhiyuan Qi Keyu Duan Dongbo Xi Yongchun Zhu Hengshu Zhu Hui Xiong Qing He 186 4,471 0 07 Nov 2019
Transfusion: Understanding Transfer Learning for Medical Imaging M. Raghu Chiyuan Zhang Jon M. Kleinberg Samy Bengio MedIm 79 986 0 14 Feb 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 118 2,604 0 21 Jan 2019
A Survey on Deep Transfer Learning Chuanqi Tan F. Sun Tao Kong Wenchang Zhang Chao Yang Chunfang Liu 70 2,591 0 06 Aug 2018
A Short Note about Kinetics-600 João Carreira Eric Noland Andras Banki-Horvath Chloe Hillier Andrew Zisserman 89 528 0 03 Aug 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 86 137 0 04 Jul 2018
Quantizing deep convolutional networks for efficient inference: A whitepaper Raghuraman Krishnamoorthi MQ 141 1,021 0 21 Jun 2018
Model compression via distillation and quantization A. Polino Razvan Pascanu Dan Alistarh MQ 86 732 0 15 Feb 2018
A Tutorial on Canonical Correlation Methods Viivi Uurtio J. Monteiro J. Kandola John Shawe-Taylor D. Fernández-Reyes Juho Rousu CML 65 107 0 07 Nov 2017
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? Nima Tajbakhsh Jae Y. Shin S. Gurudu R. T. Hurst Christopher B. Kendall Michael B. Gotway Jianming Liang 238 2,530 0 02 Jun 2017
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation Mohsen Ghafoorian Alireza Mehrtash Tina Kapur N. Karssemeijer E. Marchiori ... Bram van Ginneken Andrey Fedorov Purang Abolmaesumi B. Platel W. Wells MedIm OOD 55 335 0 25 Feb 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 325 20,086 0 07 Oct 2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning Hoo-Chang Shin H. Roth Mingchen Gao Le Lu Ziyue Xu Isabella Nogues Jianhua Yao D. Mollura Ronald M. Summers 74 4,611 0 10 Feb 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 263 8,862 0 01 Oct 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,441 0 18 May 2015
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 236 8,353 0 06 Nov 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition A. Razavian Hossein Azizpour Josephine Sullivan S. Carlsson 159 4,945 0 23 Mar 2014
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 595 15,904 0 12 Nov 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 191 4,950 0 06 Oct 2013