Kris K. Dreher

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All published works

Action	Title	Year	Authors
+	Unsupervised Domain Transfer with Conditional Invertible Neural Networks	2023	Kris K. Dreher Leonardo Ayala Melanie Schellenberg Marco Hübner Jan-Hinrich Nölke Tim Adler Silvia Seidlitz Jan Sellner Alexander Studier-Fischer Janek Gröhl
+	Photoacoustic image synthesis with generative adversarial networks	2022	Melanie Schellenberg Janek Gröhl Kris K. Dreher Jan-Hinrich Nölke Niklas Holzwarth Minu D. Tizabi Alexander Seitel Lena Maier‐Hein
+	Semantic segmentation of multispectral photoacoustic images using deep learning	2022	Melanie Schellenberg Kris K. Dreher Niklas Holzwarth Fabian Isensee Annika Reinke Nicholas Schreck Alexander Seitel Minu D. Tizabi Lena Maier‐Hein Janek Gröhl
+	Data-driven generation of plausible tissue geometries for realistic photoacoustic image synthesis.	2021	Melanie Schellenberg Janek Gröhl Kris K. Dreher Niklas Holzwarth Minu D. Tizabi Alexander Seitel Lena Maier‐Hein
+ PDF Chat	Semantic segmentation of multispectral photoacoustic images using deep learning	2021	Janek Gröhl Melanie Schellenberg Kris K. Dreher Niklas Holzwarth Minu D. Tizabi Alexander Seitel Lena Maier‐Hein
+	Deep learning for biomedical photoacoustic imaging: A review	2021	Janek Gröhl Melanie Schellenberg Kris K. Dreher Lena Maier‐Hein
+	Tattoo tomography: Freehand 3D photoacoustic image reconstruction with an optical pattern	2020	Niklas Holzwarth Melanie Schellenberg Janek Gröhl Kris K. Dreher Jan-Hinrich Nölke Alexander Seitel Minu D. Tizabi Beat P. Müller‐Stich Lena Maier‐Hein
+	Tattoo tomography: Freehand 3D photoacoustic image reconstruction with an optical pattern	2020	Niklas Holzwarth Melanie Schellenberg Janek Gröhl Kris K. Dreher Jan-Hinrich Nölke Alexander Seitel Minu D. Tizabi Beat P. Müller‐Stich Lena Maier‐Hein

Common Coauthors

Coauthor	Papers Together
Lena Maier‐Hein	8
Janek Gröhl	8
Alexander Seitel	7
Niklas Holzwarth	6
Minu D. Tizabi	6
Melanie Schellenberg	5
Jan-Hinrich Nölke	4
Melanie Schellenberg	3
Beat P. Müller‐Stich	2
Tim Adler	1
Ullrich Köthe	1
Jan Sellner	1
Leonardo Ayala	1
Silvia Seidlitz	1
Marco Hübner	1
Alexander Studier-Fischer	1
Nicholas Schreck	1
Felix Nickel	1
Fabian Isensee	1
Annika Reinke	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ 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	3
+	Deep learning for biomedical photoacoustic imaging: A review	2021	Janek Gröhl Melanie Schellenberg Kris K. Dreher Lena Maier‐Hein	3
+ PDF Chat	Learned spectral decoloring enables photoacoustic oximetry	2021	Janek Gröhl Thomas Kirchner Tim Adler Lina Hacker Niklas Holzwarth Adrián Hernández-Aguilera Mildred A. Herrera Edgar Santos Sarah E. Bohndiek Lena Maier‐Hein	3
+ PDF Chat	Deep learning in photoacoustic tomography: current approaches and future directions	2020	Andreas Hauptmann Ben Cox	3
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	2
+	O-Net: A Convolutional Neural Network for Quantitative Photoacoustic Image Segmentation and Oximetry	2019	Geoffrey P. Luke Kevin Hoffer-Hawlik Austin C. Van Namen Ruibo Shang	2
+ PDF Chat	Double-Stage Delay Multiply and Sum Beamforming Algorithm: Application to Linear-Array Photoacoustic Imaging	2017	Moein Mozaffarzadeh Ali Mahloojifar Mahdi Orooji Saba Adabi Kamran Avanaki	2
+ PDF Chat	High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs	2018	Ting-Chun Wang Ming-Yu Liu Jun-Yan Zhu Andrew Tao Jan Kautz Bryan Catanzaro	2
+ PDF Chat	Context encoding enables machine learning-based quantitative photoacoustics	2018	Thomas Kirchner Janek Gröhl Lena Maier‐Hein	2
+	Eigenspectra optoacoustic tomography achieves quantitative blood oxygenation imaging deep in tissues	2016	Stratis Tzoumas António Nunes Ivan Olefir Stefan Stangl Panagiotis Symvoulidis Sarah Glasl Christine Bayer Gabriele Multhoff Vasilis Ntziachristos	2
+ PDF Chat	Image-to-Image Translation with Conditional Adversarial Networks	2017	Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros	2
+ PDF Chat	Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks	2018	Hoo-Chang Shin Neil Tenenholtz Jameson K. Rogers Christopher G. Schwarz Matthew L. Senjem Jeffrey L. Gunter Katherine P. Andriole Mark Michalski	1
+	Real-time photoacoustic projection imaging using deep learning	2018	Johannes Schwab Stephan Antholzer Robert Nuster Markus Haltmeier	1
+	GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks	2018	Christopher Bowles Liang Chen Ricardo Guerrero Paul Bentley Roger N. Gunn Alexander Hammers David Alexander Dickie María del C. Valdés Hernández Joanna M. Wardlaw Daniel Rueckert	1
+ PDF Chat	On Splitting Training and Validation Set: A Comparative Study of Cross-Validation, Bootstrap and Systematic Sampling for Estimating the Generalization Performance of Supervised Learning	2018	Yun Xu Royston Goodacre	1
+ PDF Chat	Deep Learning Versus <tex>$\ell^{1}$</tex> -Minimization for Compressed Sensing Photoacoustic Tomography	2018	Stephan Antholzer Johannes Schwab Markus Haltmeier	1
+	Estimation of blood oxygenation with learned spectral decoloring for quantitative photoacoustic imaging (LSD-qPAI).	2019	Janek Gröhl Thomas Kirchner Tim Adler Lena Maier‐Hein	1
+ PDF Chat	NETT regularization for compressed sensing photoacoustic tomography	2019	Markus Haltmeier Stephan Antholzer Johannes Schwab Peter Burgholzer J. Bauer-Marschallinger	1
+ PDF Chat	Learned backprojection for sparse and limited view photoacoustic tomography	2019	Johannes Schwab Stephan Antholzer Markus Haltmeier	1
+	What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use	2019	Sana Tonekaboni Shalmali Joshi Melissa D. McCradden Anna Goldenberg	1
+	DIVA: Domain Invariant Variational Autoencoders	2019	Maximilian Ilse Jakub M. Tomczak Christos Louizos Max Welling	1
+	Uncertainty handling in intra-operative multispectral imaging with invertible neural networks	2019	Tim Adler Lynton Ardizzone Leonardo Ayala Janek Gröhl Anant Vemuri Sebastian Wirkert Beat P. Müller‐Stich Carsten Rother Ullrich Köthe Lena Maier‐Hein	1
+	Practical Deep Learning with Bayesian Principles	2019	Kazuki Osawa Siddharth Swaroop Anirudh Jain Runa Eschenhagen Richard E. Turner Rio Yokota Mohammad Emtiyaz Khan	1
+	What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision	2017	Alex Kendall Yarin Gal	1
+	Analyzing Inverse Problems with Invertible Neural Networks	2018	Lynton Ardizzone Jakob Kruse Sebastian Wirkert Daniel Rahner E. Pellegrini Ralf S. Klessen Lena Maier‐Hein Carsten Rother Ullrich Köthe	1
+	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	Chelsea Finn Pieter Abbeel Sergey Levine	1
+ PDF Chat	Fully Dense UNet for 2-D Sparse Photoacoustic Tomography Artifact Removal	2019	Steven Guan Amir Khan Siddhartha Sikdar Parag V. Chitnis	1
+	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	2019	Mingxing Tan Quoc V. Le	1
+ PDF Chat	Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks	2017	Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros	1
+ PDF Chat	Deep learning for photoacoustic tomography from sparse data	2018	Stephan Antholzer Markus Haltmeier Johannes Schwab	1
+ PDF Chat	Exploiting the potential of unlabeled endoscopic video data with self-supervised learning	2018	Tobias Roß David Zimmerer Anant Vemuri Fabian Isensee Manuel Wiesenfarth Sebastian Bodenstedt Fabian Both Philip Kessler Martin Wagner Beat P. Müller‐Stich	1
+ PDF Chat	Recent advances in convolutional neural networks	2017	Jiuxiang Gu Zhenhua Wang Jason Kuen Lianyang Ma Amir Shahroudy Bing Shuai Ting Liu Xingxing Wang Gang Wang Jianfei Cai	1
+ 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	1
+ PDF Chat	Synthetic data augmentation using GAN for improved liver lesion classification	2018	Maayan Frid-Adar Eyal Klang Michal Marianne Amitai Jacob Goldberger Hayit Greenspan	1
+	Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning	2015	Yarin Gal Zoubin Ghahramani	1
+ PDF Chat	Deep Learning of truncated singular values for limited view photoacoustic tomography	2019	Johannes Schwab Stephan Antholzer Markus Haltmeier Robert Nuster Guenther Paltauf	1
+	Learned backprojection for sparse and limited view photoacoustic tomography	2019	Johannes Schwab Stephan Antholzer Markus Haltmeier	1
+	Practical Deep Learning with Bayesian Principles	2019	Kazuki Osawa Siddharth Swaroop Mohammad Emtiyaz Khan Anirudh Jain Runa Eschenhagen Richard E. Turner Rio Yokota	1
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	1
+ PDF Chat	Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation	2020	Nima Tajbakhsh Laura Jeyaseelan Qian Li Jeffrey N. Chiang Zhihao Wu Xiaowei Ding	1
+	A New Deep Learning Method for Image Deblurring in Optical Microscopic Systems	2019	Huangxuan Zhao Ziwen Ke Ningbo Chen Ke Li Lidai Wang Xiaojing Gong Wei Zheng Liang Song Zhicheng Liu Dong Liang	1
+ PDF Chat	Meta-Sim: Learning to Generate Synthetic Datasets	2019	Amlan Kar Aayush Prakash Ming-Yu Liu Eric Cameracci Justin Yuan Matt Rusiniak David Acuna Antonio Torralba Sanja Fidler	1
+ PDF Chat	Self-Ensembling With GAN-Based Data Augmentation for Domain Adaptation in Semantic Segmentation	2019	Jaehoon Choi Taekyung Kim Changick Kim	1
+ PDF Chat	A new deep learning method for image deblurring in optical microscopic systems	2019	Huangxuan Zhao Ziwen Ke Ningbo Chen Songjian Wang Ke Li Lidai Wang Xiaojing Gong Wei Zheng Liang Song Zhicheng Liu	1
+	Two-step training deep learning framework for computational imaging without physics priors	2021	Ruibo Shang Kevin Hoffer-Hawlik Fei Wang Guohai Situ Geoffrey P. Luke	1
+	NETT: solving inverse problems with deep neural networks	2020	Housen Li Johannes Schwab Stephan Antholzer Markus Haltmeier	1
+	Learning to Simulate Complex Physics with Graph Networks	2020	Álvaro Sánchez‐González Jonathan Godwin Tobias Pfaff Rex Ying Jure Leskovec Peter Battaglia	1
+ PDF Chat	Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers	2020	John Mongan Linda Moy Charles E. Kahn	1
+	Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation	2019	Nima Tajbakhsh Laura Jeyaseelan Qian Li Jeffrey N. Chiang Zhihao Wu Xiaowei Ding	1
+	Deep-Learning Image Reconstruction for Real-Time Photoacoustic System	2020	MinWoo Kim Geng-Shi Jeng Ivan Pelivanov Matthew O’Donnell	1