Michael Gadermayr

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All published works

Action	Title	Year	Authors
+ PDF Chat	Initial Study On Improving Segmentation By Combining Preoperative CT And Intraoperative CBCT Using Synthetic Data	2024	Maximilian Tschuchnig Philipp Steininger Michael Gadermayr
+ PDF Chat	CBCTLiTS: A Synthetic, Paired CBCT/CT Dataset For Segmentation And Style Transfer	2024	Maximilian Tschuchnig Philipp Steininger Michael Gadermayr
+ PDF Chat	Virtually Objective Quantification of in vitro Wound Healing Scratch Assays with the Segment Anything Model	2024	Katja Löwenstein Johanna Rehrl Anja Schuster Michael Gadermayr
+ PDF Chat	Multimodal Learning To Improve Segmentation With Intraoperative CBCT & Preoperative CT	2024	Maximilian Tschuchnig Philipp Steininger Michael Gadermayr
+	Inflation forecasting with attention based transformer neural networks	2023	Maximilian Tschuchnig Petra Tschuchnig Cornelia Ferner Michael Gadermayr
+	MixUp-MIL: A Study on Linear & Multilinear Interpolation-Based Data Augmentation for Whole Slide Image Classification	2023	Michael Gadermayr Lukas Koller Maximilian Tschuchnig Lea Maria Stangassinger Christina Kreutzer Sébastien Couillard‐Després Gertie J. Oostingh A Hittmair
+	Multi-task Learning To Improve Semantic Segmentation Of CBCT Scans Using Image Reconstruction	2023	Maximilian Tschuchnig Julia Coste‐Marin Philipp Steininger Michael Gadermayr
+ PDF Chat	Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification	2022	Maximilian Tschuchnig Philipp Grubmuller Lea Maria Stangassinger Christina Kreutzer Sébastien Couillard‐Després Gertie J. Oostingh A Hittmair Michael Gadermayr
+	Anomaly Detection in Medical Imaging - A Mini Review	2022	Maximilian Tschuchnig Michael Gadermayr
+	Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification	2022	Maximilian Tschuchnig Philipp Grubmüller Lea Maria Stangassinger Christina Kreutzer Sébastien Couillard‐Després Gertie J. Oostingh A Hittmair Michael Gadermayr
+	Multiple Instance Learning for Digital Pathology: A Review on the State-of-the-Art, Limitations & Future Potential	2022	Michael Gadermayr Maximilian Tschuchnig
+	MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis	2022	Michael Gadermayr Lukas Koller Maximilian Tschuchnig Lea Maria Stangassinger Christina Kreutzer Sébastien Couillard‐Després Gertie J. Oostingh A Hittmair
+ PDF Chat	An Asymmetric Cycle-Consistency Loss For Dealing With Many-To-One Mappings In Image Translation: A Study On Thigh Mr Scans	2021	Michael Gadermayr Maximilian Tschuchnig Laxmi Gupta Nils Krämer Daniel Truhn Dorit Merhof Burkhard Gess
+ PDF Chat	Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks	2021	Michael Gadermayr Maximilian Tschuchnig Lea Maria Stangassinger Christina Kreutzer Sébastien Couillard‐Després Gertie J. Oostingh A Hittmair
+	Beyond Desktop Computation: Challenges in Scaling a GPU Infrastructure	2021	Martin Uray Eduard Hirsch Gerold Katzinger Michael Gadermayr
+	Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks	2020	Michael Gadermayr Maximilian Tschuchnig Lea Maria Stangassinger Christina Kreutzer Sébastien Couillard‐Després Gertie J. Oostingh A Hittmair
+ PDF Chat	Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential	2020	Maximilian Tschuchnig Gertie J. Oostingh Michael Gadermayr
+ PDF Chat	Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential	2020	Maximilian Tschuchnig Gertie J. Oostingh Michael Gadermayr
+	Improving Endoscopic Decision Support Systems by Translating Between Imaging Modalities	2020	Georg Wimmer Michael Gadermayr Andreas Vécsei Andreas Uhl
+	An Asymetric Cycle-Consistency Loss for Dealing with Many-to-One Mappings in Image Translation: A Study on Thigh MR Scans	2020	Michael Gadermayr Maximilian Tschuchnig Laxmi Gupta Dorit Merhof Nils Krämer Daniel Truhn Burkhard Gess
+ PDF Chat	Improving Endoscopic Decision Support Systems by Translating Between Imaging Modalities	2020	Georg Wimmer Michael Gadermayr Andreas Vécsei Andreas Uhl
+	Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential	2020	Maximilian Tschuchnig Gertie J. Oostingh Michael Gadermayr
+	Improving Endoscopic Decision Support Systems by Translating Between Imaging Modalities	2020	Georg Wimmer Michael Gadermayr Andreas Vécsei Andreas Uhl
+	An Asymmetric Cycle-Consistency Loss for Dealing with Many-to-One Mappings in Image Translation: A Study on Thigh MR Scans	2020	Michael Gadermayr Maximilian Tschuchnig L. C. Gupta Dorit Merhof Nils Krämer Daniel Truhn Burkhard Gess
+	Frozen-to-Paraffin: Categorization of Histological Frozen Sections by the Aid of Paraffin Sections and Generative Adversarial Networks	2020	Michael Gadermayr Maximilian Tschuchnig Lea Maria Stangassinger Christina Kreutzer Sébastien Couillard‐Després Gertie J. Oostingh A Hittmair
+ PDF Chat	CNN cascades for segmenting sparse objects in gigapixel whole slide images	2018	Michael Gadermayr Ann-Kathrin Dombrowski Barbara M. Klinkhammer Peter Boor Dorit Merhof
+	Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations	2018	Michael Gadermayr Laxmi Gupta Barbara M. Klinkhammer Peter Boor Dorit Merhof

Common Coauthors

Coauthor	Papers Together
Maximilian Tschuchnig	20
Gertie J. Oostingh	10
Sébastien Couillard‐Després	7
A Hittmair	7
Lea Maria Stangassinger	7
Christina Kreutzer	7
Dorit Merhof	5
Philipp Steininger	4
Georg Wimmer	3
Andreas Uhl	3
Nils Krämer	3
Andreas Vécsei	3
Burkhard Gess	3
Laxmi Gupta	3
Daniel Truhn	3
Lukas Koller	2
Peter Boor	2
Barbara M. Klinkhammer	2
Philipp Grubmüller	1
L. C. Gupta	1
Philipp Grubmuller	1
Anja Schuster	1
Ann-Kathrin Dombrowski	1
Petra Tschuchnig	1
Cornelia Ferner	1
Martin Uray	1
Eduard Hirsch	1
Gerold Katzinger	1
Julia Coste‐Marin	1
Katja Löwenstein	1
Johanna Rehrl	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks	2017	Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros	9
+ PDF Chat	Deep MR to CT Synthesis Using Unpaired Data	2017	Jelmer M. Wolterink Anna M. Dinkla M.H.F. Savenije Peter R. Seevinck Cornelis A. T. van den Berg Ivana Išgum	7
+ PDF Chat	Image-to-Image Translation with Conditional Adversarial Networks	2017	Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros	7
+ PDF Chat	Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification	2016	Le Hou Dimitris Samaras Tahsin Kurç Yi Gao James Davis Joel Saltz	6
+ PDF Chat	Multimodal Unsupervised Image-to-Image Translation	2018	Xun Huang Ming-Yu Liu Serge Belongie Jan Kautz	6
+ PDF Chat	Deep Learning for Whole Slide Image Analysis: An Overview	2019	Neofytos Dimitriou Ognjen Arandjelović Peter D. Caie	5
+	Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data	2018	Amjad Almahairi Sai Rajeswar Alessandro Sordoni Philip Bachman Aaron Courville	4
+ PDF Chat	DualGAN: Unsupervised Dual Learning for Image-to-Image Translation	2017	Zili Yi Hao Zhang Ping Tan Minglun Gong	3
+ 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
+	An Asymetric Cycle-Consistency Loss for Dealing with Many-to-One Mappings in Image Translation: A Study on Thigh MR Scans	2020	Michael Gadermayr Maximilian Tschuchnig Laxmi Gupta Dorit Merhof Nils Krämer Daniel Truhn Burkhard Gess	2
+	Cutting out the middleman: measuring nuclear area in histopathology slides without segmentation	2016	Mitko Veta P. J. van Diest Josien P. W. Pluim	2
+	Pathology GAN: Learning deep representations of cancer tissue	2019	Adalberto Claudio Quiros Roderick Murray‐Smith Ke Yuan	2
+	Generative Image Translation for Data Augmentation in Colorectal Histopathology Images	2019	Jerry Wei Arief A. Suriawinata Louis Vaickus Bing Ren Xiaoying Liu Jason Wei Saeed Hassanpour	2
+	Conditional Generative Adversarial Nets	2014	Mehdi Mirza Simon Osindero	2
+	Unsupervised domain adaptation in brain lesion segmentation with adversarial networks	2016	Konstantinos Kamnitsas Christian F. Baumgartner Christian Ledig Virginia Newcombe Joanna Simpson Andrew D. Kane David Menon Aditya Nori Antonio Criminisi Daniel Rueckert	2
+ PDF Chat	CNN cascades for segmenting sparse objects in gigapixel whole slide images	2018	Michael Gadermayr Ann-Kathrin Dombrowski Barbara M. Klinkhammer Peter Boor Dorit Merhof	2
+	PathologyGAN: Learning deep representations of cancer tissue	2019	Adalberto Claudio Quiros Roderick Murray‐Smith Ke Yuan	2
+ PDF Chat	Staingan: Stain Style Transfer for Digital Histological Images	2019	Muhammad Shaban Christoph Baur Nassir Navab Shadi Albarqouni	2
+	Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images	2019	Faisal Mahmood Daniel Borders Richard J. Chen Gregory N. McKay Kevan J. Salimian Alexander S. Baras Nicholas J. Durr	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+ PDF Chat	Gland segmentation in colon histology images: The glas challenge contest	2016	Korsuk Sirinukunwattana Josien P. W. Pluim Hao Chen Xiaojuan Qi Pheng‐Ann Heng Yun Guo Li Yang Wang Bogdan J. Matuszewski Elia Bruni Urko Sanchez	2
+ PDF Chat	Adversarial synthesis learning enables segmentation without target modality ground truth	2018	Yuankai Huo Zhoubing Xu Shunxing Bao Albert Assad Richard G. Abramson Bennett A. Landman	2
+	Return of the Devil in the Details: Delving Deep into Convolutional Nets	2014	Ken Chatfield Karen Simonyan Andrea Vedaldi Andrew Zisserman	2
+ PDF Chat	Object Contour Detection with a Fully Convolutional Encoder-Decoder Network	2016	Shuicheng Yan Brian Price Scott Cohen Honglak Lee Ming–Hsuan Yang	2
+ PDF Chat	Computational Histological Staining and Destaining of Prostate Core Biopsy RGB Images with Generative Adversarial Neural Networks	2018	Aman Rana Gregory Yauney Alarice Lowe Pratik Shah	2
+ PDF Chat	Training Region-Based Object Detectors with Online Hard Example Mining	2016	Abhinav Shrivastava Abhinav Gupta Ross Girshick	2
+ PDF Chat	Learning from Simulated and Unsupervised Images through Adversarial Training	2017	Ashish Shrivastava Tomas Pfister Oncel Tuzel Joshua M. Susskind Wen-Da Wang Russell Y. Webb	2
+ PDF Chat	Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation	2019	Amy Zhao Guha Balakrishnan Frédo Durand John V. Guttag Adrian V. Dalca	2
+	Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images	2018	Bruno Lecouat Ken Chang Chuan-Sheng Foo Balagopal Unnikrishnan James M. Brown Houssam Zenati Andrew Beers Vijay Chandrasekhar Jayashree Kalpathy‐Cramer Pavitra Krishnaswamy	2
+	GAN-based Virtual Re-Staining: A Promising Solution for Whole Slide Image Analysis	2019	Zhaoyang Xu Carlos Fernández Moro Béla Bozóky Qianni Zhang	2
+ PDF Chat	Unsupervised Learning for Cell-Level Visual Representation in Histopathology Images With Generative Adversarial Networks	2018	Bo Hu Ye Tang Eric Chang Yubo Fan Maode Lai Yan Xu	2
+	Unsupervised Histopathology Image Synthesis	2017	Le Hou Ayush Agarwal Dimitris Samaras Tahsin Kurç Rajarsi Gupta Joel Saltz	2
+	Toward Multimodal Image-to-Image Translation	2017	Jun Zhu Richard Zhang Deepak Pathak Trevor Darrell Alexei A. Efros Oliver Wang Eli Shechtman	1
+ PDF Chat	PCA leverage: outlier detection for high-dimensional functional magnetic resonance imaging data	2016	Amanda F. Mejia Mary Beth Nebel Ani Eloyan Brian Caffo Martin A. Lindquist	1
+ PDF Chat	Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology	2019	David Tellez Geert Litjens Péter Bándi Wouter Bulten John‐Melle Bokhorst Francesco Ciompi Jeroen van der Laak	1
+ PDF Chat	Detecting Abnormalities in Resting-State Dynamics: An Unsupervised Learning Approach	2019	Meenakshi Khosla Keith Jamison Amy Kuceyeski Mert R. Sabuncu	1
+ PDF Chat	Unsupervised Anomaly Localization Using Variational Auto-Encoders	2019	David Zimmerer Fabian Isensee Jens Petersen Simon Kohl Klaus H. Maier‐Hein	1
+ PDF Chat	Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer	2019	Amal Lahiani Nassir Navab Shadi Albarqouni Eldad Klaiman	1
+ PDF Chat	Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection	2019	Dong Gong Lingqiao Liu Vuong Le Budhaditya Saha Moussa Reda Mansour Svetha Venkatesh Anton van den Hengel	1
+ PDF Chat	Unsupervised lesion detection via image restoration with a normative prior	2020	Xiaoran Chen Suhang You Kerem Can Tezcan Ender Konukoglu	1
+	Wasserstein GAN	2017	Martín Arjovsky Soumith Chintala Léon Bottou	1
+ PDF Chat	DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision	2020	Julia Wolleb Robin Sandkühler Philippe C. Cattin	1
+	SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth	2018	Yuankai Huo Zhoubing Xu Hyeonsoo Moon Shunxing Bao Albert Assad Tamara K. Moyo Michael R. Savona Richard G. Abramson Bennett A. Landman	1
+ PDF Chat	Contrastive Learning for Unpaired Image-to-Image Translation	2020	Taesung Park Alexei A. Efros Richard Zhang Jun-Yan Zhu	1
+ PDF Chat	Attention Guided Anomaly Localization in Images	2020	Shashanka Venkataramanan Kuan-Chuan Peng Rajat Singh Abhijit Mahalanobis	1
+ PDF Chat	Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study	2021	Christoph Baur Stefan Denner Benedikt Wiestler Nassir Navab Shadi Albarqouni	1
+ PDF Chat	Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis	2020	Dejan Štepec Danijel Skočaj	1
+ PDF Chat	MADGAN: unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction	2021	Changhee Han Leonardo Rundo Kohei Murao Tomoyuki Noguchi Yuki Shimahara Zoltán Á. Milacski Saori Koshino Evis Sala Hideki Nakayama Shin’ichi Satoh	1
+ PDF Chat	An Asymmetric Cycle-Consistency Loss For Dealing With Many-To-One Mappings In Image Translation: A Study On Thigh Mr Scans	2021	Michael Gadermayr Maximilian Tschuchnig Laxmi Gupta Nils Krämer Daniel Truhn Dorit Merhof Burkhard Gess	1
+ PDF Chat	Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation	2021	Sebastian Popescu David Sharp James H. Cole Konstantinos Kamnitsas Ben Glocker	1