LORCK: Learnable Object-Resembling Convolution Kernels

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LORCK: Learnable Object-Resembling Convolution Kernels

9 July 2020

Dmitry V. Dylov

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Papers citing "LORCK: Learnable Object-Resembling Convolution Kernels"

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Title
A review: Deep learning for medical image segmentation using multi-modality fusion Tongxue Zhou S. Ruan S. Canu 72 512 0 22 Apr 2020
Microscopy Image Restoration with Deep Wiener-Kolmogorov filters V. Pronina Filippos Kokkinos Dmitry V. Dylov Stamatios Lefkimmiatis 35 26 0 25 Nov 2019
UNet++: A Nested U-Net Architecture for Medical Image Segmentation Zongwei Zhou M. R. Siddiquee Nima Tajbakhsh Jianming Liang SSeg 105 6,166 0 18 Jul 2018
Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks Jose Dolz Xiaopan Xu Jérôme Rony Jing Yuan Yang Liu Eric Granger Christian Desrosiers Xi Zhang Ismail Ben Ayed Hongbing Lu MedIm 63 80 0 28 May 2018
Stack-U-Net: Refinement Network for Image Segmentation on the Example of Optic Disc and Cup Artem Sevastopolsky S. Drapak Konstantin Kiselev Blake M. Snyder J. Keenan Anastasia Georgievskaya 41 41 0 30 Apr 2018
Rethinking Atrous Convolution for Semantic Image Segmentation Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam SSeg 234 8,491 0 17 Jun 2017
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 240 8,722 0 15 Jun 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello SSeg 324 2,084 0 07 Jun 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 568 8,007 0 13 Jun 2015
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches Kyunghyun Cho B. V. Merrienboer Dzmitry Bahdanau Yoshua Bengio AI4CE AIMat 259 6,786 0 03 Sep 2014

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