Hydrocephalus verification on brain magnetic resonance images with deep convolutional neural networks and "transfer learning" technique

23 September 2019

Papers citing "Hydrocephalus verification on brain magnetic resonance images with deep convolutional neural networks and "transfer learning" technique"

9 / 9 papers shown

Title
Breast Tumor Cellularity Assessment using Deep Neural Networks Alexander Rakhlin A. Tiulpin Alexey A. Shvets Alexandr A Kalinin V. Iglovikov Sergey I. Nikolenko 34 20 0 05 May 2019
Using J-K fold Cross Validation to Reduce Variance When Tuning NLP Models Henry B. Moss David S. Leslie Paul Rayson 30 33 0 19 Jun 2018
Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks Alexey A. Shvets V. Iglovikov Alexander Rakhlin Alexandr A Kalinin MedIm 60 74 0 21 Apr 2018
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay L. Smith 283 1,035 0 26 Mar 2018
Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis Alexander Rakhlin Alexey A. Shvets V. Iglovikov Alexandr A Kalinin 145 310 0 02 Feb 2018
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 Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 234 8,348 0 06 Nov 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,595 0 01 Sep 2014