Andrea Schenk

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All published works

Action	Title	Year	Authors
+	The Liver Tumor Segmentation Benchmark (LiTS)	2022	Patrick Bilic Patrick Ferdinand Christ Hongwei Li Eugene Vorontsov Avi Ben-Cohen Georgios Kaissis Adi Szeskin Colin Jacobs Gabriel Efrain Humpire Mamani Gabriel Chartrand
+ PDF Chat	Robust Segmentation Models Using an Uncertainty Slice Sampling-Based Annotation Workflow	2022	Grzegorz Chlebus Andrea Schenk Horst K. Hahn Bram van Ginneken Hans Meine
+	Robust Segmentation Models using an Uncertainty Slice Sampling Based Annotation Workflow	2021	Grzegorz Chlebus Andrea Schenk Horst K. Hahn Bram van Ginneken Hans Meine
+ PDF Chat	Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI	2020	Anneke Meyer Grzegorz Chlebus Marko Rak Daniel Schindele Martin Schostak Bram van Ginneken Andrea Schenk Hans Meine Horst K. Hahn Andreas Schreiber
+	Relevance analysis of MRI sequences for automatic liver tumor segmentation	2019	Grzegorz Chlebus Nasreddin Abolmaali Andrea Schenk Hans Meine
+	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
+	Comparison of U-net-based Convolutional Neural Networks for Liver Segmentation in CT.	2018	Hans Meine Grzegorz Chlebus Mohsen Ghafoorian Itaru Endo Andrea Schenk
+	Comparison of U-net-based Convolutional Neural Networks for Liver Segmentation in CT	2018	Hans Meine Grzegorz Chlebus Mohsen Ghafoorian Itaru Endo Andrea Schenk
+	Neural Network-Based Automatic Liver Tumor Segmentation With Random Forest-Based Candidate Filtering	2017	Grzegorz Chlebus Hans Meine Jan Hendrik Moltz Andrea Schenk
+ PDF Chat	Spatio-Temporal Simulation of First Pass Drug Perfusion in the Liver	2014	Lars Ole Schwen Markus Krauß Christoph Niederalt Felix Gremse Fabian Kießling Andrea Schenk Tobias Preußer Lars Kuepfer
+	Planning of Image-Guided Interventions in the Liver	2011	Andrea Schenk Dieter Haemmerich Tobias Preußer
+	Evaluation eines neuen Softwareassistenten zur automatischen Volumenbestimmung von intrahepatischen Tumoren	2004	S Meier Andrea Schenk Peter Mildenberger H. Bourquain M. Pitton M. Thelen

Common Coauthors

Coauthor	Papers Together
Grzegorz Chlebus	9
Hans Meine	9
Bram van Ginneken	5
Jan Hendrik Moltz	3
Horst K. Hahn	3
Georgios Kaissis	2
Jan S. Kirschke	2
Ganapathy Krishnamurthi	2
Woong Bae	2
Mathias Perslev	2
Erik B. Dam	2
Eugene Vorontsov	2
John Lowengrub	2
Bogdan Georgescu	2
Chunliang Wang	2
Leo Joskowicz	2
Rickmer Braren	2
Michela Antonelli	2
Alexandre Hostettler	2
Leon Weninger	2
Tomasz Konopczyński	2
Suprosanna Shit	2
Patrick Bilic	2
Colin Jacobs	2
Jana Lipková	2
Florian Ettlinger	2
Marie Piraud	2
Michal Drozdzal	2
Paul F. Jäger	2
Klaus H. Maier‐Hein	2
Ignacio Sarasúa	2
Bjoern Menze	2
Volker Heinemann	2
Krishna Chaitanya Kaluva	2
Christian Igel	2
Pheng‐Ann Heng	2
Lei Bi	2
Avinash Kori	2
Xiaoping Yang	2
Jacob Sosna	2
Wieland H. Sommer	2
Kevis-Kokitsi Maninis	2
Samuel Kadoury	2
Jordi Torres	2
Ivan Ezhov	2
Benedikt Wiestler	2
Simon C.H. Yu	2
Patrick Ferdinand Christ	2
Julian Walter Holch	2
Spyridon Bakas	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	The Medical Segmentation Decathlon	2022	Michela Antonelli Annika Reinke Spyridon Bakas Keyvan Farahani Annette Kopp‐Schneider Bennett A. Landman Geert Litjens Bjoern Menze Olaf Ronneberger Ronald M. Summers	2
+ PDF Chat	CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation	2020	Ali Emre Kavur Naciye Sinem Gezer Mustafa Barış Sinem Aslan Pierre-Henri Conze Vladimir Groza Duc Duy Pham Soumick Chatterjee Philipp Ernst Savaş Özkan	2
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	2
+ PDF Chat	3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation	2016	Özgün Çiçek Ahmed Abdulkadir Soeren S. Lienkamp Thomas Brox Olaf Ronneberger	2
+ 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	2
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	2
+	The virtual liver: a multidisciplinary, multilevel challenge for systems biology	2012	Hermann‐Georg Holzhütter Dirk Drasdo Tobias Preußer Jörg Lippert Adriano Henney	1
+	A Family of Eulerian–Lagrangian Localized Adjoint Methods for Multi-dimensional Advection-Reaction Equations	1999	Hong Wang Richard E. Ewing Guan Qin Stephen L. Lyons Mohamed Al‐Lawatia Shushuang Man	1
+ PDF Chat	A summary of numerical methods for time-dependent advection-dominated partial differential equations	2001	Richard E. Ewing Hong Wang	1
+	Planning of Image-Guided Interventions in the Liver	2011	Andrea Schenk Dieter Haemmerich Tobias Preußer	1
+ PDF Chat	Simulating Microdosimetry in a Virtual Hepatic Lobule	2010	John F. Wambaugh Imran Shah	1
+ PDF Chat	A ‘missing’ family of classical orthogonal polynomials	2011	Luc Vinet Alexei Zhedanov	1
+	Eulerian-Lagrangian localized adjoint methods for systems of nonlinear advective-diffusive-reactive transport equations	1996	Jan E. Våg Hong Wang Helge K. Dahle	1
+	�ber die partiellen Differenzengleichungen der mathematischen Physik	1928	Richard Courant Kurt Friedrichs Hans Lewy	1
+ PDF Chat	Development of good modelling practice for physiologically based pharmacokinetic models for use in risk assessment: The first steps	2008	George Loizou Martin Spendiff Hugh A. Barton Jos Bessems Frédéric Y. Bois Michel Bouvier d’Yvoire Harrie Buist Harvey J. Clewell Bette Meek Ursula Gundert‐Remy	1
+ PDF Chat	A Mechanistic, Model‐Based Approach to Safety Assessment in Clinical Development	2012	Jörg Lippert Mario Brosch Oliver von Kampen Michaela Meyer Hans‐Ulrich Siegmund Clemens Schafmayer Tim Becker Bernd Laffert Linus Görlitz Stefan Schreiber	1
+ PDF Chat	Analysis and Algorithmic Generation of Hepatic Vascular Systems	2012	Lars Ole Schwen Tobias Preußer	1
+	A Computational Systems Biology Software Platform for Multiscale Modeling and Simulation: Integrating Whole-Body Physiology, Disease Biology, and Molecular Reaction Networks	2011	Thomas Eißing	1
+ PDF Chat	Implicit Coupling of One-Dimensional and Three-Dimensional Blood Flow Models with Compliant Vessels	2013	A. Cristiano I. Malossi Pablo J. Blanco Paolo Crosetto Simone Deparis Alfio Quarteroni	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Information Processing in Medical Imaging	2007		1
+	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	1
+	A Concordance Correlation Coefficient to Evaluate Reproducibility	1989	Liang‐In Lin	1
+	A Note On "A Concordance Correlation Coefficient to Evaluate Reproducibility"	1997	Carol A. Nickerson	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	Cost-Effective Active Learning for Deep Image Classification	2016	Keze Wang Dongyu Zhang Ya Li Ruimao Zhang Liang Lin	1
+ PDF Chat	Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields	2016	Patrick Ferdinand Christ Mohamed Ezzeldin A. Elshaer Florian Ettlinger Sunil Tatavarty Marc Bickel Patrick Bilic Markus Rempfler Marco Armbruster Felix Hofmann Melvin D’Anastasi	1
+	Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization	2016	Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar	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
+	What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?	2017	Alex Kendall Yarin Gal	1
+ PDF Chat	Deeply-supervised CNN for prostate segmentation	2017	Qikui Zhu Bo Du Barış Türkbey Peter L. Choyke Pingkun Yan	1
+ PDF Chat	Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation	2017	Lin Yang Yizhe Zhang Jianxu Chen Siyuan Zhang Danny Z. Chen	1
+ PDF Chat	Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations	2017	Carole H. Sudre Wenqi Li Tom Vercauteren Sébastien Ourselin M. Jorge Cardoso	1
+	Cost-Effective Active Learning for Melanoma Segmentation	2017	Marc Górriz Blanch Xavier Giró-i-Nieto Axel Carlier Emmanuel Faure	1
+	Active Learning for Convolutional Neural Networks: A Core-Set Approach	2017	Ozan Şener Silvio Savarese	1
+	Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST	2018	Jinzheng Cai Youbao Tang Le Lü Adam P. Harrison Ke Yan Jing Xiao Lin Yang Ronald M. Summers	1
+	Densely Dilated Spatial Pooling Convolutional Network using benign loss functions for imbalanced volumetric prostate segmentation	2018	Qiuhua Liu Min Fu Xinqi Gong Hao Jiang	1
+ PDF Chat	Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images	2018	Hongwei Li Gongfa Jiang Jianguo Zhang Ruixuan Wang Zhaolei Wang Wei‐Shi Zheng Bjoern Menze	1
+	Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables	1965	D. B. Owen Milton Abramowitz Irene A. Stegun	1
+ PDF Chat	A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols	2018	Neerav Karani Krishna Chaitanya Christian F. Baumgartner Ender Konukoğlu	1
+	3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation	2018	Haozhe Jia Yang Song Donghao Zhang Heng Huang Dagan Feng Michael Fulham Yong Xia Weidong Cai	1
+ PDF Chat	Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation	2019	Micah Sheller G. Anthony Reina Brandon Edwards Jason Martin Spyridon Bakas	1
+	Evaluating Bayesian Deep Learning Methods for Semantic Segmentation	2018	Jishnu Mukhoti Yarin Gal	1
+ PDF Chat	Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation	2019	Cheng Bian Xin Yang Jianqiang Ma Zheng Shen Yuan Liu Reza Nezafat Pheng‐Ann Heng Yefeng Zheng	1
+	The Liver Tumor Segmentation Benchmark (LiTS)	2022	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
+ PDF Chat	Active Learning with Statistical Models	1996	David Cohn Zoubin Ghahramani Michael I. Jordan	1
+	3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes	2016	Qi Dou Hao Chen Yueming Jin Lequan Yu Jing Qin Pheng‐Ann Heng	1
+	Fully Convolutional Networks for Semantic Segmentation	2016	Jonathan Long Evan Shelhamer Trevor Darrell	1
+ PDF Chat	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	2016	Fausto Milletarì Nassir Navab Seyed‐Ahmad Ahmadi	1
+ PDF Chat	Training Region-Based Object Detectors with Online Hard Example Mining	2016	Abhinav Shrivastava Abhinav Gupta Ross Girshick	1