Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation

29 October 2021

Papers citing "Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation"

8 / 8 papers shown

Title
The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism Yosuke Oyama N. Maruyama Nikoli Dryden Erin McCarthy P. Harrington J. Balewski Satoshi Matsuoka Peter Nugent B. Van Essen 3DV AI4CE 61 37 0 25 Jul 2020
LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation Wentao Zhu Can Zhao Wenqi Li H. Roth Ziyue Xu Daguang Xu 3DV 80 19 0 22 Jun 2020
A large annotated medical image dataset for the development and evaluation of segmentation algorithms Amber L. Simpson Michela Antonelli Spyridon Bakas Michel Bilello Keyvan Farahani ... M. McHugo S. Napel Eugene Vorontsov Lena Maier-Hein M. Jorge Cardoso 120 862 0 25 Feb 2019
Measuring the Effects of Data Parallelism on Neural Network Training Christopher J. Shallue Jaehoon Lee J. Antognini J. Mamou J. Ketterling Yao Wang 100 409 0 08 Nov 2018
Tune: A Research Platform for Distributed Model Selection and Training Richard Liaw Eric Liang Robert Nishihara Philipp Moritz Joseph E. Gonzalez Ion Stoica 222 905 0 13 Jul 2018
Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge Fabian Isensee Philipp Kickingereder Wolfgang Wick Martin Bendszus Klaus H. Maier-Hein 143 495 0 28 Feb 2018
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 248 8,737 0 15 Jun 2016
Cyclical Learning Rates for Training Neural Networks L. Smith ODL 240 2,541 0 03 Jun 2015