DARWIN: A Highly Flexible Platform for Imaging Research in Radiology

2 September 2020

Papers citing "DARWIN: A Highly Flexible Platform for Imaging Research in Radiology"

4 / 4 papers shown

Title
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Nick Erickson Jonas W. Mueller Alexander Shirkov Hang Zhang Pedro Larroy Mu Li Alex Smola LMTD 218 625 0 13 Mar 2020
Albumentations: fast and flexible image augmentations A. Buslaev Alex Parinov Eugene Khvedchenya V. Iglovikov Alexandr A Kalinin 149 1,974 0 18 Sep 2018
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields P. Christ M. Elshaer Florian Ettlinger S. Tatavarty Marc Bickel ... Felix O. Hofmann M. D’Anastasi Wieland H. Sommer Seyed-Ahmad Ahmadi Bjoern Menze MedIm 61 633 0 07 Oct 2016
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation Konstantinos Kamnitsas C. Ledig Virginia Newcombe Joanna P. Simpson A. D. Kane David Menon Daniel Rueckert Ben Glocker MedIm 3DV 137 3,057 0 18 Mar 2016