Andreas M. Hötker

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All published works

Action	Title	Year	Authors
+	Constrained Optimization for Training Deep Neural Networks Under Class Imbalance.	2021	Sara Sangalli Ertunç Erdil Andreas M. Hötker Olivio F. Donati Ender Konukoğlu
+	PHiSeg: Capturing Uncertainty in Medical Image Segmentation	2019	Christian F. Baumgartner Kerem Can Tezcan Krishna Chaitanya Andreas M. Hötker Urs J. Muehlematter Khoschy Schawkat Anton S. Becker Olivio F. Donati Ender Konukoğlu
+ PDF Chat	PHiSeg: Capturing Uncertainty in Medical Image Segmentation	2019	Christian F. Baumgartner Kerem Can Tezcan Krishna Chaitanya Andreas M. Hötker Urs J. Muehlematter Khoschy Schawkat Anton S. Becker Olivio F. Donati Ender Konukoğlu
+	PHiSeg: Capturing Uncertainty in Medical Image Segmentation	2019	Christian F. Baumgartner Kerem Can Tezcan Krishna Chaitanya Andreas M. Hötker Urs J. Muehlematter Khoschy Schawkat Anton S. Becker Olivio F. Donati Ender Konukoğlu

Common Coauthors

Coauthor	Papers Together
Ender Konukoğlu	4
Olivio F. Donati	4
Krishna Chaitanya	3
Khoschy Schawkat	3
Christian F. Baumgartner	3
Anton S. Becker	3
Kerem Can Tezcan	3
Urs J. Muehlematter	3
Ertunç Erdil	1
Sara Sangalli	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles	2016	Balaji Lakshminarayanan Alexander Pritzel Charles Blundell	2
+	A Probabilistic U-Net for Segmentation of Ambiguous Images	2018	Simon Kohl Bernardino Romera‐Paredes Clemens Meyer Jeffrey De Fauw Joseph R. Ledsam Klaus H. Maier‐Hein S. M. Ali Eslami Danilo Jimenez Rezende Olaf Ronneberger	2
+ PDF Chat	From neural PCA to deep unsupervised learning	2015	Harri Valpola	2
+ PDF Chat	Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses	2017	Christian Rupprecht Iro Laina Robert DiPietro Maximilian Baust Federico Tombari Nassir Navab Gregory D. Hager	2
+	Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding	2017	Alex Kendall Vijay Badrinarayanan Roberto Cipolla	2
+	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	1
+ PDF Chat	A systematic study of the class imbalance problem in convolutional neural networks	2018	Mateusz Buda Atsuto Maki Maciej A. Mazurowski	1
+	Nonlinear Programming	1995	Dimitri P. Bertsekas	1
+	Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation	2019	Robin Chan Matthias Rottmann Fabian Hüger Peter Schlicht Hanno Gottschalk	1
+	One-Pass AUC Optimization	2013	Wei Gao Rong Jin Shenghuo Zhu Zhi‐Hua Zhou	1
+ PDF Chat	Imbalanced data learning by minority class augmentation using capsule adversarial networks	2020	Pourya Shamsolmoali Masoumeh Zareapoor Linlin Shen Abdul Sadka Jie Yang	1
+	Posterior Re-calibration for Imbalanced Datasets	2020	Junjiao Tian Yen‐Cheng Liu Nathan Glaser Yen-Chang Hsu Zsolt Kira	1
+	On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other	1947	H. B. Mann Douglas R. Whitney	1
+ PDF Chat	Multiplier methods: A survey	1976	Dimitri P. Bertsekas	1
+	Fast Implementation of DeLong’s Algorithm for Comparing the Areas Under Correlated Receiver Operating Characteristic Curves	2014	Xu Sun Weichao Xu	1
+	Multiplier and gradient methods	1969	Magnus R. Hestenes	1
+ 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	1
+	Large-Margin Softmax Loss for Convolutional Neural Networks	2016	Weiyang Liu Yandong Wen Zhiding Yu Meng Yang	1