Robin Sandkühler

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All published works

Action	Title	Year	Authors
+	An automated pipeline for computation and analysis of functional ventilation and perfusion lung MRI with matrix pencil decomposition: TrueLung	2024	Orso Pusterla Corin Willers Robin Sandkühler Simon Andermatt Sylvia Nyilas Philippe C. Cattin Philipp Latzin Oliver Bieri Grzegorz Bauman
+ PDF Chat	An automated pipeline for computation and analysis of functional ventilation and perfusion lung MRI with matrix pencil decomposition: TrueLung	2024	Orso Pusterla Rahel Heule Francesco Santini Thomas Weikert Corin Willers Simon Andermatt Robin Sandkühler Sylvia Nyilas Philipp Latzin Oliver Bieri
+	Position Regression for Unsupervised Anomaly Detection	2023	Florentin Bieder Julia Wolleb Robin Sandkühler Philippe C. Cattin
+	Diffusion Models for Contrast Harmonization of Magnetic Resonance Images	2023	Alicia Durrer Julia Wolleb Florentin Bieder Tim Sinnecker Matthias Weigel Robin Sandkühler Cristina Granziera Özgür Yaldizli Philippe C. Cattin
+	Diffusion Models for Memory-efficient Processing of 3D Medical Images	2023	Florentin Bieder Julia Wolleb Alicia Durrer Robin Sandkühler Philippe C. Cattin
+	GAMER-MRIL identifies Disability-Related Brain Changes in Multiple Sclerosis	2023	Po‐Jui Lu Benjamin L. Odry Muhamed Baraković Matthias Weigel Robin Sandkühler Reza Rahmanzadeh Xinjie Chen Mario Ocampo‐Pineda Jens Kühle Ludwig Kappos
+ PDF Chat	MRI lung lobe segmentation in pediatric cystic fibrosis patients using a recurrent neural network trained with publicly accessible CT datasets	2022	Orso Pusterla Rahel Heule Francesco Santini Thomas Weikert Corin Willers Simon Andermatt Robin Sandkühler Sylvia Nyilas Philipp Latzin Oliver Bieri
+ PDF Chat	Learn to Ignore: Domain Adaptation for Multi-site MRI Analysis	2022	Julia Wolleb Robin Sandkühler Florentin Bieder Muhamed Baraković Nouchine Hadjikhani Athina Papadopoulou Özgür Yaldizli Jens Kühle Cristina Granziera Philippe C. Cattin
+	The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models	2022	Julia Wolleb Robin Sandkühler Florentin Bieder Philippe C. Cattin
+	Diffusion Models for Medical Anomaly Detection	2022	Julia Wolleb Florentin Bieder Robin Sandkühler Philippe C. Cattin
+ PDF Chat	Diffusion Models for Medical Anomaly Detection	2022	Julia Wolleb Florentin Bieder Robin Sandkühler Philippe C. Cattin
+ PDF Chat	Diffusion Models for Implicit Image Segmentation Ensembles	2021	Julia Wolleb Robin Sandkühler Florentin Bieder Philippe Valmaggia Philippe C. Cattin
+	Comparison of Methods Generalizing Max- and Average-Pooling.	2021	Florentin Bieder Robin Sandkühler Philippe C. Cattin
+	Diffusion Models for Implicit Image Segmentation Ensembles	2021	Julia Wolleb Robin Sandkühler Florentin Bieder Philippe Valmaggia Philippe C. Cattin
+	Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis	2021	Julia Wolleb Robin Sandkühler Florentin Bieder Muhamed Baraković Nouchine Hadjikhani Athina Papadopoulou Özgür Yaldizli Jens Kühle Cristina Granziera Philippe C. Cattin
+	MRI lung lobe segmentation in pediatric cystic fibrosis patients using a recurrent neural network trained with publicly accessible CT datasets	2021	Orso Pusterla Rahel Heule Francesco Santini Thomas Weikert Corin Willers Simon Andermatt Robin Sandkühler Sylvia Nyilas Philipp Latzin Oliver Bieri
+	Comparison of Methods Generalizing Max- and Average-Pooling	2021	Florentin Bieder Robin Sandkühler Philippe C. Cattin
+	DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision	2020	Julia Wolleb Robin Sandkühler Philippe C. Cattin
+ PDF Chat	DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision	2020	Julia Wolleb Robin Sandkühler Philippe C. Cattin
+	DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision	2020	Julia Wolleb Robin Sandkühler Philippe C. Cattin
+	Accelerated Motion-Aware MR Imaging via Motion Prediction from K-Space Center	2019	Christoph Jud Damien Nguyen Alina Giger Robin Sandkühler Miriam Krieger Antony Lomax Rarès Salomir Oliver Bieri Philippe C. Cattin
+	Recurrent Registration Neural Networks for Deformable Image Registration	2019	Robin Sandkühler Simon Andermatt Grzegorz Bauman Sylvia Nyilas Christoph Jud Philippe C. Cattin
+	AirLab: Autograd Image Registration Laboratory	2018	Robin Sandkühler Christoph Jud Simon Andermatt Philippe C. Cattin

Common Coauthors

Coauthor	Papers Together
Philippe C. Cattin	20
Julia Wolleb	13
Simon Andermatt	6
Oliver Bieri	5
Grzegorz Bauman	5
Cristina Granziera	4
Philipp Latzin	4
Orso Pusterla	4
Corin Willers	4
Sylvia Nyilas	4
Thomas Weikert	3
Özgür Yaldizli	3
Muhamed Baraković	3
Christoph Jud	3
Francesco Santini	3
Rahel Heule	3
Florentin Bieder	3
Jens Kühle	3
Nouchine Hadjikhani	2
Athina Papadopoulou	2
Alicia Durrer	2
Florentin Bieder	2
Philippe Valmaggia	2
Matthias Weigel	2
Sylvia Nyilas	1
Florentin Bieder	1
Rarès Salomir	1
Reza Rahmanzadeh	1
Damien Nguyen	1
Tim Sinnecker	1
Alina Giger	1
Florentin Bieder	1
Florentin Bieder	1
Florentin Bieder	1
Po‐Jui Lu	1
Ludwig Kappos	1
Florentin Bieder	1
Miriam Krieger	1
Florentin Bieder	1
Benjamin L. Odry	1
Mario Ocampo‐Pineda	1
Florentin Bieder	1
Xinjie Chen	1
Antony Lomax	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Visual Feature Attribution Using Wasserstein GANs	2018	Christian F. Baumgartner Lisa M. Koch Kerem Can Tezcan Jia Xi Ang Ender Konukoğlu	3
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	3
+ PDF Chat	CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison	2019	Jeremy Irvin Pranav Rajpurkar Michael Ko Yifan Yu Silviana Ciurea-Ilcus Chris Chute Henrik Marklund Behzad Haghgoo Robyn L. Ball Katie Shpanskaya	3
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2017	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	2
+ PDF Chat	StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation	2018	Yunjey Choi Minje Choi Munyoung Kim Jung-Woo Ha Sunghun Kim Jaegul Choo	2
+ PDF Chat	MRI lung lobe segmentation in pediatric cystic fibrosis patients using a recurrent neural network trained with publicly accessible CT datasets	2022	Orso Pusterla Rahel Heule Francesco Santini Thomas Weikert Corin Willers Simon Andermatt Robin Sandkühler Sylvia Nyilas Philipp Latzin Oliver Bieri	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	Learning Deep Features for Discriminative Localization	2016	Bolei Zhou Aditya Khosla Àgata Lapedriza Aude Oliva Antonio Torralba	2
+	AirLab: Autograd Image Registration Laboratory	2018	Robin Sandkühler Christoph Jud Simon Andermatt Philippe C. Cattin	2
+	Improved Techniques for Training GANs	2016	Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen	2
+ PDF Chat	Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks	2017	Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros	2
+ PDF Chat	Unsupervised Anomaly Localization Using Variational Auto-Encoders	2019	David Zimmerer Fabian Isensee Jens Petersen Simon Kohl Klaus H. Maier‐Hein	2
+ PDF Chat	Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization	2019	Md Mahfuzur Rahman Siddiquee Zongwei Zhou Nima Tajbakhsh Ruibin Feng Michael B. Gotway Yoshua Bengio Jianming Liang	2
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	2
+ PDF Chat	Pathology Segmentation Using Distributional Differences to Images of Healthy Origin	2019	Simon Andermatt Antal Horváth Simon Pezold Philippe C. Cattin	2
+	Visual Feature Attribution using Wasserstein GANs	2017	Christian F. Baumgartner Lisa M. Koch Kerem Can Tezcan Jia Xi Ang Ender Konukoğlu	2
+ PDF Chat	Generate to Adapt: Aligning Domains Using Generative Adversarial Networks	2018	Swami Sankaranarayanan Yogesh Balaji Carlos D. Castillo Rama Chellappa	1
+ PDF Chat	End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network	2017	Bob D. de Vos Floris F. Berendsen Max A. Viergever Marius Staring Ivana Išgum	1
+	Quantifying Translation-Invariance in Convolutional Neural Networks	2018	Eric Kauderer-Abrams	1
+	On the Convergence of Adam and Beyond	2019	Sashank J. Reddi Satyen Kale Sanjiv Kumar	1
+	Learning Structured Deformations using Diffeomorphic Registration	2018	Julian Krebs Tommaso Mansi Boris Mailhé Nicholas Ayache Hervé Delingette	1
+	Adaptive Pooling Operators for Weakly Labeled Sound Event Detection	2018	Brian McFee Justin Salamon Juan Pablo Bello	1
+ PDF Chat	Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration	2018	Adrian V. Dalca Guha Balakrishnan John V. Guttag Mert R. Sabuncu	1
+	Weakly-supervised convolutional neural networks for multimodal image registration	2018	Yipeng Hu Marc Modat Eli Gibson Wenqi Li Nooshin Ghavami Ester Bonmati Guotai Wang Steven Bandula Caroline M. Moore Mark Emberton	1
+	A Survey on GANs for Anomaly Detection	2019	Federico Di Mattia Paolo Galeone Michele De Simoni Emanuele Ghelfi	1
+ PDF Chat	Disentangled representation learning in cardiac image analysis	2019	Agisilaos Chartsias T. A. Joyce Giorgos Papanastasiou Scott Semple Michelle C. Williams David E. Newby Rohan Dharmakumar Sotirios A. Tsaftaris	1
+ PDF Chat	Dilated FCN for Multi-Agent 2D/3D Medical Image Registration	2018	Shun Miao Sebastien Piat Peter Fischer Ahmet Tüysüzoğlu Philip W. Mewes Tommaso Mansi Rui Liao	1
+	Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps	2013	Karen Simonyan Andrea Vedaldi Andrew Zisserman	1
+	One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks	2018	Sergi Valverde Mostafa Salem Mariano Cabezas Deborah Pareto Joan C. Vilanova Lluís Ramió‐Torrentà Àlex Rovira Joaquím Salví Arnau Oliver Xavier Lladó	1
+ PDF Chat	An Artificial Agent for Robust Image Registration	2017	Rui Liao Shun Miao Pierre de Tournemire Saša Grbić Ali Kamen Tommaso Mansi Dorin Comaniciu	1
+ PDF Chat	Unified Deep Supervised Domain Adaptation and Generalization	2017	Saeid Motiian Marco Piccirilli Donald Adjeroh Gianfranco Doretto	1
+ PDF Chat	Squeeze-and-Excitation Networks	2019	Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu	1
+ PDF Chat	Contrastive Adaptation Network for Unsupervised Domain Adaptation	2019	Guoliang Kang Lu Jiang Yi Yang Alexander G. Hauptmann	1
+	An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution	2018	Rosanne Liu Joel Lehman Piero Molino Felipe Petroski Such Eric Frank A. E. Sergeev Jason Yosinski	1
+ PDF Chat	Deep spatial autoencoders for visuomotor learning	2016	Chelsea Finn Xin Tan Yan Duan Trevor Darrell Sergey Levine Pieter Abbeel	1
+	Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree	2015	Chen‐Yu Lee Patrick W. Gallagher Zhuowen Tu	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+ PDF Chat	Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis	2019	Veronika Cheplygina Marleen de Bruijne Josien P. W. Pluim	1
+ PDF Chat	Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2017	Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi	1
+ PDF Chat	Automated brain extraction of multisequence MRI using artificial neural networks	2019	Fabian Isensee Marianne Schell Irada Pflueger Gianluca Brugnara David Bonekamp Ulf Neuberger Antje Wick Heinz‐Peter Schlemmer Sabine Heiland Wolfgang Wick	1
+ PDF Chat	The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study	2020	Gustav Mårtensson Daniel Ferreira Tobias Granberg Lena Cavallin Ketil Oppedal Alessandro Padovani Irena Rektorová Laura Bonanni Matteo Pardini Milica G. Kramberger	1
+ PDF Chat	Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem	2020	Johannes Hofmanninger Florian Prayer Jeanny Pan Sebastian Röhrich Helmut Prosch Georg Langs	1
+ PDF Chat	DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision	2020	Julia Wolleb Robin Sandkühler Philippe C. Cattin	1
+ PDF Chat	Deep learning in medical image registration: a survey	2020	Grant Haskins Uwe Krüger Pingkun Yan	1
+ PDF Chat	Inpainting Transformer for Anomaly Detection	2022	Jonathan Pirnay Keng Yip Chai	1
+ PDF Chat	Anomaly Detection Through Latent Space Restoration Using Vector Quantized Variational Autoencoders	2021	Sergio Naval Marimont Giacomo Tarroni	1
+ PDF Chat	ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models	2021	Jooyoung Choi Sungwon Kim Yonghyun Jeong Youngjune Gwon Sungroh Yoon	1
+	Ordinal Pooling	2021	Adrien Deliège Maxime Istasse Ashwani Kumar Christophe De Vleeschouwer Marc Van Droogenbroeck	1
+ PDF Chat	Challenging Current Semi-supervised Anomaly Segmentation Methods for Brain MRI	2022	Felix Meissen Georgios Kaissis Daniel Rueckert	1
+ PDF Chat	Unsupervised Domain Adaptation with Semantic Consistency Across Heterogeneous Modalities for MRI Prostate Lesion Segmentation	2021	Eleni Chiou Francesco Giganti Shonit Punwani Iasonas Kokkinos Eleftheria Panagiotaki	1