Jeremy J. Heit

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All published works

Action	Title	Year	Authors
+	Abstract DP33: Under-representation of No Mismatch Patients in Large Core Trials	2025	Margy McCullough‐Hicks Pierre Seners Michael Mlynash Jean‐Marc Olivot Mirjam R. Heldner Pasquale Mordasini Davide Strambo Michel Patrik Emmanuel Carrera Jeremy J. Heit
+ PDF Chat	Milli-spinner thrombectomy	2024	Yilong Chang Qi Li Shuai Wu Benjamin Pulli Darren Samli Paul G. Yock Jeremy J. Heit Ruike Renee Zhao
+ 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
+	Random Expert Sampling for Deep Learning Segmentation of Acute Ischemic Stroke on Non-contrast CT	2023	Sophie Ostmeier Brian Axelrod Benjamin Pulli Benjamin F.J. Verhaaren Abdelkader Mahammedi Yongkai Liu Christian Federau Greg Zaharchuk Jeremy J. Heit
+	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
+	Non-inferiority of Deep Learning Acute Ischemic Stroke Segmentation on Non-Contrast CT Compared to Expert Neuroradiologists	2022	Sophie Ostmeier Brian Axelrod Benjamin F.J. Verhaaren Hanne Christensen Abdelkader Mahammedi Yongkai Liu Benjamin Pulli Li-Jia Li Greg Zaharchuk Jeremy J. Heit
+	Diffusion-Weighted Magnetic Resonance Brain Images Generation with Generative Adversarial Networks and Variational Autoencoders: A Comparison Study	2020	Alejandro Ungría Hirte Moritz Platscher T. A. Joyce Jeremy J. Heit Eric Tranvinh Christian Federau
+	Current Clinical State of Advanced Magnetic Resonance Imaging for Brain Tumor Diagnosis and Follow Up	2017	Michael Iv Byung Chul Yoon Jeremy J. Heit Nancy J. Fischbein Max Wintermark

Common Coauthors

Coauthor	Papers Together
Brian Axelrod	4
Sophie Ostmeier	4
Maarten G. Lansberg	3
Benjamin F.J. Verhaaren	3
Benjamin Pulli	3
Li-Jia Li	3
Gregory W. Albers	3
Abdelkader Mahammedi	3
Greg Zaharchuk	3
Michael Mlynash	2
Søren Christensen	2
Fabian Isensee	2
Jeroen Bertels	2
Yongkai Liu	2
Christian Federau	2
Jean‐Marc Olivot	1
Moritz Platscher	1
Shuai Wu	1
Mirjam R. Heldner	1
Qi Li	1
Michael Iv	1
Rajen Sheth	1
Darren Samli	1
Michel Patrik	1
T. A. Joyce	1
Pasquale Mordasini	1
Byung Chul Yoon	1
Pierre Seners	1
Margy McCullough‐Hicks	1
Hanne Christensen	1
Nancy J. Fischbein	1
Yilong Chang	1
Davide Strambo	1
Eric Tranvinh	1
Alejandro Ungría Hirte	1
Max Wintermark	1
Ruike Renee Zhao	1
Emmanuel Carrera	1
Paul G. Yock	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	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
+	Interrater reliability: the kappa statistic.	2012	Mary L. McHugh	1
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Tutorial on Variational Autoencoders	2016	Carl Doersch	1
+ PDF Chat	Deep Feature Consistent Variational Autoencoder	2017	Xianxu Hou Linlin Shen Ke Sun Guoping Qiu	1
+	NIPS 2016 Tutorial: Generative Adversarial Networks	2017	Ian Goodfellow	1
+	Towards Deeper Understanding of Variational Autoencoding Models	2017	Shengjia Zhao Jiaming Song Stefano Ermon	1
+ PDF Chat	Generative Adversarial Networks: An Overview	2018	Antonia Creswell Tom White Vincent Dumoulin Kai Arulkumaran Biswa Sengupta Anil A. Bharath	1
+	Data Augmentation Generative Adversarial Networks	2017	Antreas Antoniou Amos Storkey Harrison Edwards	1
+ PDF Chat	Learning implicit brain MRI manifolds with deep learning	2018	Andrew J. Plassard L. Taylor Davis Allen T. Newton Susan M. Resnick Bennett A. Landman Camilo Bermudez	1
+	Deep learning in radiology: an overview of the concepts and a survey of the state of the art	2018	Maciej A. Mazurowski Mateusz Buda Ashirbani Saha Mustafa R. Bashir	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
+	IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis	2018	Huaibo Huang zhihang li Ran He Zhenan Sun Tieniu Tan	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
+	Large Scale GAN Training for High Fidelity Natural Image Synthesis	2018	Andrew Brock Jeff Donahue Karen Simonyan	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
+	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
+	From GAN to WGAN	2019	Lilian Weng	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
+ PDF Chat	A Style-Based Generator Architecture for Generative Adversarial Networks	2019	Tero Karras Samuli Laine Timo Aila	1
+	VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning	2017	Akash Srivastava Lazar Valkov Chris Russell Michael U. Gutmann Charles Sutton	1
+	Improved Techniques for Training GANs	2016	Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen	1
+	GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium	2017	Martin Heusel Hubert Ramsauer Thomas Unterthiner Bernhard Nessler Sepp Hochreiter	1
+ PDF Chat	On Stabilizing Generative Adversarial Training With Noise	2019	Simon Jenni Paolo Favaro	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	Effectively Unbiased FID and Inception Score and Where to Find Them	2020	Min Jin Chong David Forsyth	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