Xiaoshuai Hou

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All published works

Action	Title	Year	Authors
+	The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge	2020	Nicholas Heller Fabian Isensee Klaus H. Maier‐Hein Xiaoshuai Hou Chunmei Xie Fengyi Li Nan Yang Guangrui Mu Zhiyong Lin Miofei Han
+	The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge	2019	Nicholas Heller Fabian Isensee Klaus H. Maier‐Hein Xiaoshuai Hou Chunmei Xie Fengyi Li Nan Yang Guangrui Mu Zhiyong Lin Miofei Han

Common Coauthors

Coauthor	Papers Together
Christopher J. Weight	2
Heather Kaluzniak	2
Joel Rosenberg	2
Nicholas Heller	2
Bethany Stai	2
Zach Edgerton	2
Edward Walczak	2
Guangwei Xiong	2
Ranveer Vasdev	2
Miofei Han	2
Niranjan Sathianathen	2
Arveen Kalapara	2
Resha Tejpaul	2
Makinna Oestreich	2
Guangrui Mu	2
Fabian Isensee	2
Yaozong Gao	2
Klaus H. Maier‐Hein	2
Nikolaos Papanikolopoulos	2
Keenan Moore	2
Shaneabbas Raza	2
Fengyi Li	2
Jack Rickman	2
Yixin Wang	2
Zachary Rengel	2
Jiang Tian	1
Joshua Dean	1
Joshua Dean	1
Chunmei Xie	1
Paul A. Blake	1
Paul Blake	1
Matthew Peterson	1
Jiawei Yang	1
Guang Yao	1
Seán McSweeney	1
Matthew Peterson	1
Zhiyong Lin	1
Sean McSweeney	1
Guang Yao	1
Nan Yang	1
Jun Ma	1
Jiawei Yang	1
Yao Zhang	1
Yao Zhang	1
Chunmei Xie	1
Cheng Zhong	1
Jun Ma	1
Nan Yang	1
Jiang Tian	1
Feng Hou	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	Identity Mappings in Deep Residual Networks	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	2016	Fausto Milletarì Nassir Navab Seyed‐Ahmad Ahmadi	1
+ 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	1
+	Attention U-Net: Learning Where to Look for the Pancreas	2018	Ozan Oktay Jo Schlemper Loïc Le Folgoc Matthew C. H. Lee Mattias P. Heinrich‬ Kazunari Misawa Kensaku Mori Steven McDonagh Nils Hammerla Bernhard Kainz	1
+	Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge	2018	Spyridon Bakas Mauricio Reyes Enzo Battistella Siddhartha Chandra Huiguang He Lucas Fidon Maria Vakalopoulou Roger Sun et al. Éric Deutsch	1
+ PDF Chat	Why rankings of biomedical image analysis competitions should be interpreted with care	2018	Lena Maier‐Hein Matthias Eisenmann Annika Reinke Sinan Onogur Marko Stankovic Patrick Scholz Tal Arbel Hrvoje Bogunović Andrew P. Bradley Aaron Carass	1
+	Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge	2019	Xiahai Zhuang Lei Li Christian Payer Darko Štern Martin Urschler Mattias P. Heinrich‬ Julien Oster Chunliang Wang Örjan Smedby Cheng Bian	1
+	The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes	2019	Nicholas Heller Niranjan Sathianathen Arveen Kalapara Edward Walczak Keenan Moore Heather Kaluzniak Joel Rosenberg Paul Blake Zachary Rengel Makinna Oestreich	1
+	nnU-Net: Breaking the Spell on Successful Medical Image Segmentation.	2019	Fabian Isensee Jens Petersen Simon Kohl Paul F. Jäger Klaus H. Maier‐Hein	1
+	3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation	2016	Özgün Çiçek Ahmed Abdulkadir Soeren S. Lienkamp Thomas Brox Olaf Ronneberger	1
+	Semi-Automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks	2018	Youbao Tang Adam P. Harrison Mohammadhadi Bagheri Jing Xiao Ronald M. Summers	1
+ PDF Chat	Kid-Net: Convolution Networks for Kidney Vessels Segmentation from CT-Volumes	2018	Ahmed Taha Pechin Lo Junning Li Tao Zhao	1
+ PDF Chat	H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes	2018	Xiaomeng Li Hao Chen Xiaojuan Qi Qi Dou Chi‐Wing Fu Pheng‐Ann Heng	1
+	An attempt at beating the 3D U-Net	2019	Fabian Isensee Klaus H. Maier‐Hein	1
+	Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge	2019	Xiahai Zhuang Lei Li Christian Payer Darko Štern Martin Urschler Mattias P. Heinrich‬ Julien Oster Chunliang Wang Örjan Smedby Cheng Bian	1
+	Cascaded Volumetric Convolutional Network for Kidney Tumor Segmentation from CT volumes	2019	Yao Zhang Yixin Wang Feng Hou Jiawei Yang Guangwei Xiong Jiang Tian Cheng Zhong	1
+ PDF Chat	The Role of Publicly Available Data in MICCAI Papers from 2014 to 2018	2019	Nicholas Heller Jack Rickman Christopher J. Weight Nikolaos Papanikolopoulos	1
+ PDF Chat	nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation	2020	Fabian Isensee Paul F. Jaeger Simon Kohl Jens Petersen Klaus H. Maier‐Hein	1
+ PDF Chat	Methods and open-source toolkit for analyzing and visualizing challenge results	2021	Manuel Wiesenfarth Annika Reinke Bennett A. Landman Matthias Eisenmann Laura Aguilera Saiz M. Jorge Cardoso Lena Maier‐Hein Annette Kopp‐Schneider	1
+	Understanding deep learning requires rethinking generalization	2016	Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals	1
+	Methods and open-source toolkit for analyzing and visualizing challenge results	2019	Manuel Wiesenfarth Annika Reinke Bennett A. Landman M. Jorge Cardoso Klaus H. Maier‐Hein Annette Kopp‐Schneider	1
+	nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation	2018	Fabian Isensee Jens Petersen André Klein David Zimmerer Paul F. Jaeger Simon Kohl Jakob Wasserthal Gregor Koehler Tobias Norajitra Sebastian Wirkert	1
+	The Liver Tumor Segmentation Benchmark (LiTS)	2019	Patrick Bilic Patrick Ferdinand Christ Hongwei Li Eugene Vorontsov Avi Ben-Cohen Georgios Kaissis Adi Szeskin Colin Jacobs Gabriel Efrain Humpire Mamani Gabriel Chartrand	1