Martin Weygandt

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All published works

Action	Title	Year	Authors
+	The effect of stress on delay discounting in bulimia nervosa and alcohol use disorder: a functional magnetic resonance imaging study.	2022	Nicolas Leenaerts Jenny Ceccarini Martin Weygandt Stefan Sunaert Elske Vrieze
+	Harnessing spatial homogeneity of neuroimaging data: patch individual filter layers for CNNs	2020	Fabian Eitel Jan Philipp Albrecht Martin Weygandt Friedemann Paul Kerstin Ritter
+ PDF Chat	Layer-Wise Relevance Propagation for Explaining Deep Neural Network Decisions in MRI-Based Alzheimer's Disease Classification	2019	Moritz Böhle Fabian Eitel Martin Weygandt Kerstin Ritter
+	Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation	2019	Fabian Eitel Emily Soehler Judith Bellmann–Strobl Alexander U. Brandt Klemens Ruprecht René M. Gieß Joseph Kuchling Susanna Asseyer Martin Weygandt John–Dylan Haynes
+	Visualizing evidence for Alzheimer's disease in deep neural networks trained on structural MRI data	2019	Moritz Böhle Fabian Eitel Martin Weygandt Kerstin Ritter
+	Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation	2019	Fabian Eitel Emily Soehler Judith Bellmann‐Strobl Alexander U. Brandt Klemens Ruprecht René M. Gieß Joseph Kuchling Susanna Asseyer Martin Weygandt John–Dylan Haynes
+	Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation	2019	Fabian Eitel Emily Soehler Judith Bellmann–Strobl Alexander U. Brandt Klemens Ruprecht René M. Gieß Joseph Kuchling Susanna Asseyer Martin Weygandt John–Dylan Haynes
+ PDF Chat	Visualizing Convolutional Networks for MRI-Based Diagnosis of Alzheimer’s Disease	2018	Johannes Rieke Fabian Eitel Martin Weygandt John–Dylan Haynes Kerstin Ritter

Common Coauthors

Coauthor	Papers Together
Fabian Eitel	7
Kerstin Ritter	7
Friedemann Paul	4
John–Dylan Haynes	4
Emily Soehler	3
Klemens Ruprecht	3
Judith Bellmann–Strobl	3
Alexander U. Brandt	3
Susanna Asseyer	3
René M. Gieß	3
Michael Scheel	3
Joseph Kuchling	3
Moritz Böhle	2
Nicolas Leenaerts	1
Stefan Sunaert	1
Jenny Ceccarini	1
Jan Philipp Albrecht	1
Johannes Rieke	1
Elske Vrieze	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ 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	5
+	Methods for interpreting and understanding deep neural networks	2017	Grégoire Montavon Wojciech Samek Klaus‐Robert Müller	4
+	Predicting Alzheimer's disease: a neuroimaging study with 3D convolutional neural networks	2015	Adrien Payan Giovanni Montana	4
+ PDF Chat	Visualizing Convolutional Networks for MRI-Based Diagnosis of Alzheimer’s Disease	2018	Johannes Rieke Fabian Eitel Martin Weygandt John–Dylan Haynes Kerstin Ritter	4
+	Striving for Simplicity: The All Convolutional Net	2014	Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller	3
+ PDF Chat	Analyzing Classifiers: Fisher Vectors and Deep Neural Networks	2016	Sebastian Lapuschkin Alexander Binder Grégoire Montavon Klaus‐Robert Müller Wojciech Samek	3
+ PDF Chat	The Scalable Brain Atlas: Instant Web-Based Access to Public Brain Atlases and Related Content	2015	Rembrandt Bakker Paul Tiesinga Rolf Kötter	3
+ PDF Chat	Evaluating the Visualization of What a Deep Neural Network Has Learned	2016	Wojciech Samek Alexander Binder Grégoire Montavon Sebastian Lapuschkin Klaus‐Robert Müller	3
+	Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps	2013	Karen Simonyan Andrea Vedaldi Andrew Zisserman	3
+ PDF Chat	Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach	2017	Sergi Valverde Mariano Cabezas Eloy Roura Sandra González-Villà Deborah Pareto Joan C. Vilanova Lluís Ramió‐Torrentà Àlex Rovira Arnau Oliver Xavier Lladó	3
+	Proceedings of the 29th International Conference on Machine Learning (ICML-12)	2012	John Langford Joëlle Pineau	2
+	iNNvestigate Neural Networks	2019	Maximilian Alber Sebastian Lapuschkin Philipp Seegerer Miriam Hägele Kristof T. Schütt Grégoire Montavon Wojciech Samek K. Müller Sven Dähne Pieter Jan Kindermans	2
+	Interpretable LSTMs For Whole-Brain Neuroimaging Analyses	2018	Armin W. Thomas Hauke R. Heekeren Klaus‐Robert Müller Wojciech Samek	2
+	Striving for Simplicity: The All Convolutional Net	2014	Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller	2
+ PDF Chat	Residual and plain convolutional neural networks for 3D brain MRI classification	2017	Sergey Korolev Amir Safiullin Mikhail Belyaev Yulia Dodonova	2
+ PDF Chat	End-To-End Alzheimer’s Disease Diagnosis and Biomarker Identification	2018	Soheil Esmaeilzadeh Dimitrios Ioannis Belivanis Kilian M. Pohl Ehsan Adeli	2
+ PDF Chat	Unmasking Clever Hans predictors and assessing what machines really learn	2019	Sebastian Lapuschkin Stephan Wäldchen Alexander Binder Grégoire Montavon Wojciech Samek Klaus‐Robert Müller	2
+ PDF Chat	Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation	2017	Mohsen Ghafoorian Alireza Mehrtash Tina Kapur Nico Karssemeijer Elena Marchiori Mehran Pesteie Charles R.G. Guttmann Frank‐Erik de Leeuw Clare M. Tempany Bram van Ginneken	2
+ PDF Chat	Layer-Wise Relevance Propagation for Explaining Deep Neural Network Decisions in MRI-Based Alzheimer's Disease Classification	2019	Moritz Böhle Fabian Eitel Martin Weygandt Kerstin Ritter	2
+	Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification	2018	Chengliang Yang Anand Rangarajan Sanjay Ranka	2
+ 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	2
+	MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs	2017	Pranav Rajpurkar Jeremy Irvin Aarti Bagul Daisy Yi Ding Tony Duan Hershel Mehta Brandon Yang Kaylie Zhu Dillon Laird Robyn L. Ball	1
+	A Comprehensive Study of Alzheimer's Disease Classification Using Convolutional Neural Networks	2019	Ziqiang Guan Ritesh Kumar Yi Fung Yeahuay Wu Madalina Fiterau	1
+	Analyzing Neuroimaging Data Through Recurrent Deep Learning Models	2018	Armin W. Thomas Hauke R. Heekeren Klaus‐Robert Müller Wojciech Samek	1
+ PDF Chat	Understanding and Interpreting Machine Learning in Medical Image Computing Applications	2018	Danail Stoyanov Zeike A. Taylor Seyed Mostafa Kia İpek Oğuz Mauricio Reyes Anne L. Martel Klaus H. Maier‐Hein André F. Marquand Édouard Duchesnay Tommy Löfstedt	1
+	Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images	2017	Donghuan Lu Karteek Popuri Wei‐Guang Ding Rakesh Balachandar Mirza Faisal Beg	1
+	Evaluating the visualization of what a Deep Neural Network has learned	2015	Wojciech Samek Alexander Binder Grégoire Montavon Sebastian Bach Klaus‐Robert Müller	1
+	Interpretable Convolutional Neural Networks for Preterm Birth Classification	2019	Irina Grigorescu Lucilio Cordero‐Grande A. D. Edwards Joseph V. Hajnal Marc Modat Maria Deprez	1
+	Two-Stream Convolutional Networks for Action Recognition in Videos	2014	Karen Simonyan Andrew Zisserman	1
+	Sanity Checks for Saliency Maps	2018	Julius Adebayo Justin Gilmer Michael Muelly Ian Goodfellow Moritz Hardt Been Kim	1
+ PDF Chat	Image-to-Image Translation with Conditional Adversarial Networks	2017	Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros	1
+ PDF Chat	Interpretable deep neural networks for single-trial EEG classification	2016	Irene Sturm Sebastian Lapuschkin Wojciech Samek Klaus‐Robert Müller	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+ PDF Chat	Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation	2019	T. R. Gopalakrishnan Nair Doina Precup Douglas L. Arnold Tal Arbel	1
+	Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation	2019	Fabian Eitel Emily Soehler Judith Bellmann‐Strobl Alexander U. Brandt Klemens Ruprecht René M. Gieß Joseph Kuchling Susanna Asseyer Martin Weygandt John–Dylan Haynes	1
+	Visualizing evidence for Alzheimer's disease in deep neural networks trained on structural MRI data	2019	Moritz Böhle Fabian Eitel Martin Weygandt Kerstin Ritter	1
+	Understanding 3D CNN Behavior for Alzheimer's Disease Diagnosis from Brain PET Scan	2019	Jyoti Islam Yanqing Zhang	1
+	When Explanations Lie: Why Many Modified BP Attributions Fail	2019	Leon Sixt Maximilian Granz Tim Landgraf	1
+	Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation	2020	Junhao Wen Elina Thibeau–Sutre Mauricio Diaz-Melo Jorge Samper‐Gonzàlez Alexandre Routier Simona Bottani Didier Dormont Stanley Durrleman Ninon Burgos Olivier Colliot	1
+ PDF Chat	Alzheimer's disease diagnostics by adaptation of 3D convolutional network	2016	Ehsan Hosseini-Asl Robert Keynton Ayman El‐Baz	1
+	Deep multi-scale location-aware 3D convolutional neural networks for automated detection of lacunes of presumed vascular origin	2017	Mohsen Ghafoorian Nico Karssemeijer Tom Heskes Mayra I. Bergkamp Joost G.J. Wissink Jiri Obels Karlijn Keizer Frank‐Erik de Leeuw Bram van Ginneken Elena Marchiori	1
+	An overview of deep learning in medical imaging focusing on MRI	2018	Alexander Selvikvåg Lundervold Arvid Lundervold	1
+ PDF Chat	Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification	2018	Kamyar Nazeri Azad Aminpour Mehran Ebrahimi	1
+ PDF Chat	The Mythos of Model Interpretability	2018	Zachary C. Lipton	1
+	Rejecting impulsivity as a psychological construct: A theoretical, empirical, and sociocultural argument	2020	Justin C. Strickland Matthew W. Johnson	1
+	iNNvestigate neural networks!	2018	Maximilian Alber Sebastian Lapuschkin Philipp Seegerer Miriam Hägele Kristof T. Schütt Grégoire Montavon Wojciech Samek Klaus‐Robert Müller Sven Dähne Pieter-Jan Kindermans	1
+	3D CNN-based classification using sMRI and MD-DTI images for Alzheimer disease studies	2018	Alexander Khvostikov Karim Aderghal Jenny Benois‐Pineau A. S. Krylov Gwénaëlle Catheline	1
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Fully Convolutional Networks for Semantic Segmentation	2014	J. D. Long Evan Shelhamer Trevor Darrell	1
+	Understanding Neural Networks Through Deep Visualization	2015	Jason Yosinski Jeff Clune Anh Mai Nguyen Thomas J. Fuchs Hod Lipson	1