Premal A. Patel

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Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Scalable Multimodal Convolutional Networks for Brain Tumour Segmentation 2017 Lucas Fidon
Wenqi Li
Luis C. GarcĂ­a-Peraza-Herrera
Jinendra Ekanayake
Neil Kitchen
SĂ©bastien Ourselin
Tom Vercauteren
2
+ PDF Chat Fully convolutional networks for semantic segmentation 2015 Jonathan Long
Evan Shelhamer
Trevor Darrell
2
+ PDF Chat Deep Interactive Object Selection 2016 Ning Xu
Brian Price
Scott Cohen
Shuicheng Yan
Thomas S. Huang
2
+ Caffe: Convolutional Architecture for Fast Feature Embedding 2014 Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross Girshick
Sergio Guadarrama
Trevor Darrell
2
+ Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation 2016 Konstantinos Kamnitsas
Christian Ledig
Virginia Newcombe
Joanna Simpson
Andrew D. Kane
David Menon
Daniel Rueckert
Ben Glocker
2
+ Fully Convolutional Networks for Semantic Segmentation 2016 Evan Shelhamer
Jonathan Long
Trevor Darrell
2
+ PDF Chat V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation 2016 Fausto MilletarĂŹ
Nassir Navab
Seyed‐Ahmad Ahmadi
2
+ DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks 2016 Martin Rajchl
Matthew C. H. Lee
Ozan Oktay
Konstantinos Kamnitsas
Jonathan Passerat‐Palmbach
Wenjia Bai
Mellisa Damodaram
Mary Rutherford
Joseph V. Hajnal
Bernhard Kainz
2
+ PDF Chat DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs 2017 Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Murphy
Alan Yuille
2
+ PDF Chat 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation 2016 ÖzgĂŒn Çiçek
Ahmed Abdulkadir
Soeren S. Lienkamp
Thomas Brox
Olaf Ronneberger
2
+ Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs 2014 Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Murphy
Alan Yuille
2
+ PDF Chat ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation 2016 Di Lin
Jifeng Dai
Jiaya Jia
Kaiming He
Jian Sun
2
+ PDF Chat A survey on deep learning in medical image analysis 2017 Geert Litjens
Thijs Kooi
Babak Ehteshami Bejnordi
Arnaud Arindra Adiyoso Setio
Francesco Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
Clara I. Sá‎nchez
2
+ Fully Convolutional Networks for Semantic Segmentation 2014 J. D. Long
Evan Shelhamer
Trevor Darrell
2
+ PDF Chat On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task 2017 Wenqi Li
Guotai Wang
Lucas Fidon
SĂ©bastien Ourselin
M. Jorge Cardoso
Tom Vercauteren
2
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+ PDF Chat Instance-Sensitive Fully Convolutional Networks 2016 Jifeng Dai
Kaiming He
Yi Li
Shaoqing Ren
Jian Sun
1
+ DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation 2016 Hao Chen
Xiaojuan Qi
Lequan Yu
Pheng‐Ann Heng
1
+ End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks 2016 Peter OndrĂșĆĄka
Julie Dequaire
Dominic Zeng Wang
Ingmar Posner
1
+ PDF Chat Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning? 2016 Nima Tajbakhsh
Jae Y. Shin
Suryakanth R. Gurudu
R. Todd Hurst
Christopher B. Kendall
Michael B. Gotway
Jianming Liang
1
+ PDF Chat Temporal Convolutional Networks: A Unified Approach to Action Segmentation 2016 Colin Lea
René Vidal
Austin Reiter
Gregory D. Hager
1
+ PDF Chat Temporal Convolutional Networks for Action Segmentation and Detection 2017 Colin Lea
M. D. Flynn
René Vidal
Austin Reiter
Gregory D. Hager
1
+ PDF Chat DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation 2018 Guotai Wang
MarĂ­a A. Zuluaga
Wenqi Li
Rosalind Pratt
Premal A. Patel
Michaël Aertsen
Tom Doel
Anna L. David
Jan Deprest
SĂ©bastien Ourselin
1
+ PDF Chat Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks 2018 Guotai Wang
Wenqi Li
SĂ©bastien Ourselin
Tom Vercauteren
1
+ Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials 2012 Philipp KrĂ€henbĂŒhl
Vladlen Koltun
1
+ TensorFlow: A system for large-scale machine learning 2016 Martı́n Abadi
Paul Barham
Jianmin Chen
Zhifeng Chen
Andy Davis
Jay B. Dean
Matthieu Devin
Sanjay Ghemawat
Geoffrey Irving
Michael Isard
1
+ OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks 2014 Pierre Sermanet
David Eigen
Xiang Zhang
Michaël Mathieu
Rob Fergus
Yann LeCun
1
+ PDF Chat Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation 2016 Guosheng Lin
Chunhua Shen
Anton van den Hengel
Ian Reid
1
+ PDF Chat DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation 2016 Hao Chen
Xiaojuan Qi
Lequan Yu
Pheng‐Ann Heng
1
+ Multi-Scale Context Aggregation by Dilated Convolutions 2015 Fisher Yu
Vladlen Koltun
1
+ Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning 2015 Yarin Gal
Zoubin Ghahramani
1
+ PDF Chat Zero-Shot Learning via Semantic Similarity Embedding 2015 Ziming Zhang
Venkatesh Saligrama
1
+ Methods for Non-Linear Least Squares Problems 1999 Kaj Madsen
Hans Bruun Nielsen
Ole Tingleff
1
+ Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning 2015 Yarin Gal
Zoubin Ghahramani
1
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
1
+ PDF Chat Brain tumor segmentation with Deep Neural Networks 2016 Mohammad Havaei
Axel Davy
David Warde-Farley
Antoine Biard
Aaron Courville
Yoshua Bengio
Chris Pal
Pierre-Marc Jodoin
Hugo Larochelle
1
+ PDF Chat Hypercolumns for object segmentation and fine-grained localization 2015 Bharath Hariharan
Pablo ArbelĂĄez
Ross Girshick
Jitendra Malik
1
+ Symmetry, 0-1 Matrices and Jacobians: A Review 1986 Jan R. Magnus
Heinz Neudecker
1
+ PDF Chat Log‐Euclidean metrics for fast and simple calculus on diffusion tensors 2006 Vincent Arsigny
Pierre Fillard
Xavier Pennec
Nicholas Ayache
1
+ The Analysis of Panel Data under a Markov Assumption 1985 John D. Kalbfleisch
J. F. Lawless
1
+ PDF Chat Going deeper with convolutions 2015 Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
1
+ PDF Chat Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation 2014 Ross Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
1
+ PDF Chat Conditional Random Fields as Recurrent Neural Networks 2015 Shuai Zheng
Sadeep Jayasumana
Bernardino Romera‐Paredes
Vibhav Vineet
Zhizhong Su
Dalong Du
Chang Huang
Philip H. S. Torr
1
+ PDF Chat Deep convolutional neural fields for depth estimation from a single image 2015 Fayao Liu
Chunhua Shen
Guosheng Lin
1
+ PDF Chat Transductive Multi-View Zero-Shot Learning 2015 Yanwei Fu
Timothy M. Hospedales
Tao Xiang
Shaogang Gong
1
+ Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials 2012 Philipp KrĂ€henbĂŒhl
Vladlen Koltun
1
+ PDF Chat Learning Graphical Model Parameters with Approximate Marginal Inference 2013 Justin Domke
1
+ Efficient Likelihood Learning of a Generic CNN-CRF Model for Semantic Segmentation. 2015 Alexander Kirillov
Dmitrij Schlesinger
Walter Forkel
Anatoly Zelenin
Shuai Zheng
Philip H. S. Torr
Carsten Rother
1