Søren Christensen

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All published works

Action	Title	Year	Authors
+ PDF Chat	USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging	2023	Sophie Ostmeier Brian Axelrod Fabian Isensee Jeroen Bertels Michael Mlynash Søren Christensen Maarten G. Lansberg Gregory W. Albers Rajen Sheth Benjamin F.J. Verhaaren
+	USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations	2022	Sophie Ostmeier Brian Axelrod Jeroen Bertels Fabian Isensee Maarten G. Lansberg Søren Christensen Gregory W. Albers Li-Jia Li Jeremy J. Heit
+ PDF Chat	Improved Segmentation and Detection Sensitivity of Diffusion-weighted Stroke Lesions with Synthetically Enhanced Deep Learning	2020	Christian Federau Søren Christensen Nino Scherrer Johanna M. Ospel Victor Schulze-Zachau Noemi Schmidt Hanns‐Christian Breit Julian Maclaren Maarten G. Lansberg Sebastian Kozerke

Common Coauthors

Coauthor	Papers Together
Maarten G. Lansberg	3
Gregory W. Albers	2
Sophie Ostmeier	2
Li-Jia Li	2
Jeremy J. Heit	2
Fabian Isensee	2
Brian Axelrod	2
Jeroen Bertels	2
Victor Schulze-Zachau	1
Hanns‐Christian Breit	1
Greg Zaharchuk	1
Christian Federau	1
Rajen Sheth	1
Noemi Schmidt	1
Michael Mlynash	1
Nino Scherrer	1
Johanna M. Ospel	1
Sebastian Kozerke	1
Benjamin F.J. Verhaaren	1
Julian Maclaren	1
Abdelkader Mahammedi	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	The control of the false discovery rate in multiple testing under dependency	2001	Yoav Benjamini Daniel Yekutieli	1
+ PDF Chat	Generative Adversarial Networks	2022	Ian J. Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville Yoshua Bengio	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	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
+	Towards Clinical Diagnosis: Automated Stroke Lesion Segmentation on Multimodal MR Image Using Convolutional Neural Network	2018	Zhiyang Liu Chen Cao Shuxue Ding Tong Han Hong Wu Sheng Liu	1
+ PDF Chat	GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification	2018	Maayan Frid-Adar Idit Diamant Eyal Klang Michal Marianne Amitai Jacob Goldberger Hayit Greenspan	1
+	Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy	2018	Stanislav Nikolov Sam Blackwell Alexei Zverovitch R. Mendes Michelle Livne Jeffrey De Fauw Yojan Patel Clemens Meyer Harry Askham Bernardino Romera‐Paredes	1
+	Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge	2018	Spyridon Bakas Mauricio Reyes Enzo Battistella Siddhartha Chandra Huiguang He Lucas Fidon Maria Vakalopoulou Roger Sun et al. Éric Deutsch	1
+	Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge	2019	Hugo J. Kuijf Adrià Casamitjana D. Louis Collins Mahsa Dadar Achilleas Georgiou Mohsen Ghafoorian Dakai Jin April Khademi Jesse Knight Hongwei Li	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	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	Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection	2019	Changhee Han Leonardo Rundo Ryosuke Araki Yudai Nagano Yujiro Furukawa Giancarlo Mauri Hideki Nakayama H. Hayashi	1
+ PDF Chat	Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis	2020	Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour	1
+ 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	1
+ PDF Chat	Automatic cerebral vessel extraction in TOF-MRA using deep learning	2021	Vera de Vos Kimberley M. Timmins Irene van der Schaaf Ynte M. Ruigrok Birgitta K. Velthuis Hugo J. Kuijf	1
+ PDF Chat	Boundary IoU: Improving Object-Centric Image Segmentation Evaluation	2021	Bowen Cheng Ross Girshick Piotr Dollár Alexander C. Berg Alexander Kirillov	1
+ PDF Chat	QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation – Analysis of Ranking Scores and Benchmarking Results	2022	Raghav Mehta Angelos Filos Ujjwal Baid Chiharu Sako Richard McKinley Michael Rebsamen Katrin Dätwyler Raphael Meier Piotr Radojewski Gowtham Krishnan Murugesan	1