NeRD: Neural Representation of Distribution for Medical Image Segmentation

6 March 2021

Hang Zhang

Yi Wang

Papers citing "NeRD: Neural Representation of Distribution for Medical Image Segmentation"

21 / 21 papers shown

Title
Learning Continuous Image Representation with Local Implicit Image Function Yinbo Chen Sifei Liu Xiaolong Wang SSL SupR CLL 84 675 0 16 Dec 2020
Image Generators with Conditionally-Independent Pixel Synthesis Ivan Anokhin K. Demochkin Taras Khakhulin Gleb Sterkin Victor Lempitsky Denis Korzhenkov 67 158 0 27 Nov 2020
Mind the Pad -- CNNs can Develop Blind Spots B. Alsallakh Narine Kokhlikyan Vivek Miglani Jun Yuan Orion Reblitz-Richardson 52 75 0 05 Oct 2020
Geometric Loss for Deep Multiple Sclerosis lesion Segmentation Hang Zhang Jinwei Zhang Rongguang Wang Qihao Zhang S. Gauthier P. Spincemaille Thanh D. Nguyen Yi Wang 23 22 0 29 Sep 2020
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation Hang Zhang Jinwei Zhang Rongguang Wang Qihao Zhang P. Spincemaille Thanh D. Nguyen Yi Wang MedIm 20 19 0 13 Sep 2020
Local Implicit Grid Representations for 3D Scenes C. Jiang Avneesh Sud A. Makadia Jingwei Huang Matthias Nießner Thomas Funkhouser 3DPC 299 561 0 19 Mar 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan Jan van Gemert 302 236 0 16 Mar 2020
How Much Position Information Do Convolutional Neural Networks Encode? Md. Amirul Islam Sen Jia Neil D. B. Bruce SSL 244 348 0 22 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 493 42,407 0 03 Dec 2019
Making Convolutional Networks Shift-Invariant Again Richard Y. Zhang OOD 89 797 0 25 Apr 2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge Hugo J. Kuijf J. M. Biesbroek J. de Bresser R. Heinen Simon Andermatt ... Christopher P L H Chen W. M. van der Flier F. Barkhof M. Viergever G. Biessels 61 256 0 01 Apr 2019
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution Xuecai Hu Haoyuan Mu Xiangyu Zhang Zilei Wang Tieniu Tan Jian Sun SupR 70 405 0 03 Mar 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 131 3,683 0 16 Jan 2019
Boundary loss for highly unbalanced segmentation H. Kervadec Jihene Bouchtiba Christian Desrosiers Eric Granger Jose Dolz Ismail Ben Ayed 42 480 0 17 Dec 2018
Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos Hsien-Tzu Cheng Chun-Hung Chao Jin-Dong Dong Hao Wen Tyng-Luh Liu Min Sun 54 192 0 04 Jun 2018
Learning to Segment Every Thing Ronghang Hu Piotr Dollár Kaiming He Trevor Darrell Ross B. Girshick ISeg VLM 69 296 0 28 Nov 2017
Deep Feature Interpolation for Image Content Changes P. Upchurch Jacob V. Gardner Geoff Pleiss Robert Pless Noah Snavely Kavita Bala Kilian Q. Weinberger 93 309 0 16 Nov 2016
Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction Hyeonwoo Noh Paul Hongsuck Seo Bohyung Han OOD 72 327 0 18 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,133 0 18 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Better Mixing via Deep Representations Yoshua Bengio Grégoire Mesnil Yann N. Dauphin Salah Rifai 81 341 0 18 Jul 2012