Alireza Mehrtash

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All published works

Action	Title	Year	Authors
+	Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound	2023	Ruben T. Lucassen Mohammad H. Jafari Nicole M. Duggan Nick Jowkar Alireza Mehrtash Chanel Fischetti Denié Bernier Kira Prentice Erik Duhaime Mike Jin
+	Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound	2023	Ruben T. Lucassen Mohammad H. Jafari Nicole M. Duggan Nick Jowkar Alireza Mehrtash Chanel Fischetti Denié Bernier Kira Prentice Erik Duhaime Mike Jin
+	PEP: Parameter Ensembling by Perturbation.	2020	Alireza Mehrtash Purang Abolmaesumi Polina Golland Tina Kapur Demián Wassermann William M. Wells
+ PDF Chat	Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation	2020	Alireza Mehrtash William M. Wells Clare M. Tempany Purang Abolmaesumi Tina Kapur
+	PEP: Parameter Ensembling by Perturbation	2020	Alireza Mehrtash Purang Abolmaesumi Polina Golland Tina Kapur Demián Wassermann William M. Wells
+	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
+	Deep Information Theoretic Registration	2019	Alireza Sedghi Jie Luo Alireza Mehrtash Steve Pieper Clare M. Tempany Tina Kapur Parvin Mousavi William M. Wells
+	Semi-Supervised Deep Metrics for Image Registration	2018	Alireza Sedghi Jie Luo Alireza Mehrtash Steve Pieper Clare M. Tempany Tina Kapur Parvin Mousavi William M. Wells
+ PDF Chat	Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation	2017	Mohsen Ghafoorian Alireza Mehrtash Tina Kapur Nico Karssemeijer Elena Marchiori Mehran Pesteie Charles R.G. Guttmann Frank‐Erik de Leeuw Clare M. Tempany Bram van Ginneken
+	Corticospinal tract modeling for neurosurgical planning by tracking through regions of peritumoral edema and crossing fibers using two-tensor unscented Kalman filter tractography	2016	Zhenrui Chen Yanmei Tie Olutayo I. Olubiyi Fan Zhang Alireza Mehrtash Laura Rigolo Pegah Kahali Isaiah Norton Ofer Pasternak Yogesh Rathi
+	Reconstruction of the arcuate fasciculus for surgical planning in the setting of peritumoral edema using two-tensor unscented Kalman filter tractography	2015	Zhenrui Chen Yanmei Tie Olutayo I. Olubiyi Laura Rigolo Alireza Mehrtash Isaiah Norton Ofer Pasternak Yogesh Rathi Alexandra J. Golby Lauren J. O’Donnell

Common Coauthors

Coauthor	Papers Together
Tina Kapur	8
William M. Wells	6
Purang Abolmaesumi	6
Clare M. Tempany	4
Alexandra J. Golby	4
Mohsen Ghafoorian	2
Nick Jowkar	2
Mitko Veta	2
Edward W. Boyer	2
Maria A. Duran-Mendicuti	2
Steve Pieper	2
Chanel Fischetti	2
Ruben T. Lucassen	2
Nicole M. Duggan	2
Mohammad H. Jafari	2
Sarah Frisken	2
Erik Duhaime	2
Yogesh Rathi	2
Parvin Mousavi	2
Ofer Pasternak	2
Paul B. Shyn	2
Olutayo I. Olubiyi	2
Kira Prentice	2
Alireza Sedghi	2
Mike Jin	2
Yanmei Tie	2
Friso G. Heslinga	2
Andrew Goldsmith	2
Polina Golland	2
Lauren J. O’Donnell	2
Denié Bernier	2
Isaiah Norton	2
Demián Wassermann	2
Laura Rigolo	2
Jie Luo	2
Zhenrui Chen	2
William M. Wells	2
Mehran Pesteie	1
Carole H. Sudre	1
Nico Karssemeijer	1
Simon Pezold	1
J. Matthijs Biesbroek	1
Mahsa Dadar	1
Frank‐Erik de Leeuw	1
Achilleas Georgiou	1
Verónica Vilaplana	1
Guoyan Zheng	1
Roland Wiest	1
D. Louis Collins	1
Elena Marchiori	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ 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	4
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	An efficient method for finding the minimum of a function of several variables without calculating derivatives	1964	M. J. D. Powell	2
+ PDF Chat	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	2016	Fausto Milletarì Nassir Navab Seyed‐Ahmad Ahmadi	2
+ PDF Chat	Learning to compare image patches via convolutional neural networks	2015	Sergey Zagoruyko Nikos Komodakis	2
+	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	2
+ PDF Chat	A Deep Metric for Multimodal Registration	2016	Martin Simonovsky Benjamín Gutiérrez-Becker Diana Mateus Nassir Navab Nikos Komodakis	2
+ PDF Chat	Resolving crossings in the corticospinal tract by two-tensor streamline tractography: Method and clinical assessment using fMRI	2008	Arish A. Qazi Alireza Radmanesh Lauren J. O’Donnell Gordon Kindlmann Sharon Peled Stephen Whalen Carl‐Fredrik Westin Alexandra J. Golby	2
+	Fully Convolutional Networks for Semantic Segmentation	2016	Evan Shelhamer Jonathan Long Trevor Darrell	2
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	Filtered Multitensor Tractography	2010	James G. Malcolm Martha E. Shenton Yogesh Rathi	2
+ PDF Chat	Voxel-Based Morphometry—The Methods	2000	John Ashburner Karl Friston	1
+	Variational multiple-tensor fitting of fiber-ambiguous diffusion-weighted magnetic resonance imaging voxels	2008	Ofer Pasternak Yaniv Assaf Nathan Intrator Nir Sochen	1
+ PDF Chat	Maximum Likelihood, Profile Likelihood, and Penalized Likelihood: A Primer	2013	Stephen R. Cole Haitao Chu Sander Greenland	1
+	On the relationship between Bayesian and non-Bayesian elimination of nuisance parameters	1999	Thomas A. Severini	1
+	Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning	2016	Hoo-Chang Shin Holger R. Roth Mingchen Gao Le Lü Ziyue Xu Isabella Nogues Jianhua Yao Daniel J. Mollura Ronald M. Summers	1
+ 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	1
+ PDF Chat	Learning Deep Features for Discriminative Localization	2016	Bolei Zhou Aditya Khosla Àgata Lapedriza Aude Oliva Antonio Torralba	1
+ PDF Chat	Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?	2016	Nima Tajbakhsh Jae Y. Shin Suryakanth R. Gurudu R. Todd Hurst Christopher B. Kendall Michael B. Gotway Jianming Liang	1
+	Concrete Problems in AI Safety	2016	Dario Amodei Chris Olah Jacob Steinhardt Paul F. Christiano John Schulman Dan Mané	1
+ PDF Chat	3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation	2016	Özgün Çiçek Ahmed Abdulkadir Soeren S. Lienkamp Thomas Brox Olaf Ronneberger	1
+	A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks	2016	Dan Hendrycks Kevin Gimpel	1
+ PDF Chat	Transfer Learning for Multicenter Classification of Chronic Obstructive Pulmonary Disease	2017	Veronika Cheplygina Isabel Pino Peña Jesper Holst Pedersen David A. Lynch Lauge Sørensen Marleen de Bruijne	1
+ PDF Chat	Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach	2017	Sergi Valverde Mariano Cabezas Eloy Roura Sandra González-Villà Deborah Pareto Joan C. Vilanova Lluís Ramió‐Torrentà Àlex Rovira Arnau Oliver Xavier Lladó	1
+	What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?	2017	Alex Kendall Yarin Gal	1
+ PDF Chat	On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task	2017	Wenqi Li Guotai Wang Lucas Fidon Sébastien Ourselin M. Jorge Cardoso Tom Vercauteren	1
+	On Calibration of Modern Neural Networks	2017	Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger	1
+	Rethinking Atrous Convolution for Semantic Image Segmentation	2017	Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam	1
+ PDF Chat	Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations	2017	Carole H. Sudre Wenqi Li Tom Vercauteren Sébastien Ourselin M. Jorge Cardoso	1
+ PDF Chat	Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images	2018	Jelmer M. Wolterink Tim Leiner Max A. Viergever Ivana Išgum	1
+ PDF Chat	Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation	2018	Konstantinos Kamnitsas Wenjia Bai Enzo Ferrante Steven McDonagh Matthew Sinclair Nick Pawlowski Martin Rajchl Min Young Lee Bernhard Kainz Daniel Rueckert	1
+	Learning Confidence for Out-of-Distribution Detection in Neural Networks	2018	Terrance DeVries Graham W. Taylor	1
+ PDF Chat	Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images	2018	Hongwei Li Gongfa Jiang Jianguo Zhang Ruixuan Wang Zhaolei Wang Wei‐Shi Zheng Bjoern Menze	1
+	Bayesian Uncertainty Estimation for Batch Normalized Deep Networks	2018	Mattias Teye Hossein Azizpour Kevin Smith	1
+ PDF Chat	The Lovasz-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks	2018	Maxim Berman Amal Rannen Triki Matthew B. Blaschko	1
+	Do CIFAR-10 Classifiers Generalize to CIFAR-10?	2018	Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar	1
+ PDF Chat	Focal Loss for Dense Object Detection	2018	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	1
+ PDF Chat	Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images Using Bayesian Deep Learning	2018	Suman Sedai Bhavna Antony Dwarikanath Mahapatra Rahil Garnavi	1
+ PDF Chat	Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI	2019	Jörg Sander Bob D. de Vos Jelmer M. Wolterink Ivana Išgum	1
+	Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion	2019	Ryutaro Tanno Ardavan Saeedi Swami Sankaranarayanan Daniel C. Alexander Nathan Silberman	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+	Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities	2016	Mohsen Ghafoorian Nico Karssemeijer Tom Heskes Inge van Uden Clara I. Sá‎nchez Geert Litjens Frank‐Erik de Leeuw Bram van Ginneken Elena Marchiori Bram Platel	1
+	Fully Convolutional Networks for Semantic Segmentation	2016	Jonathan Long Evan Shelhamer Trevor Darrell	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
+	Out-of-Distribution Detection using Multiple Semantic Label Representations	2018	Gabi Shalev Yossi Adi Joseph Keshet	1
+	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	2019	Mingxing Tan Quoc V. Le	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2017	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	1
+	White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks	2017	Ricardo Guerrero Chen Qin Ozan Oktay Christopher Bowles L. Chen Richard Joules Robin Wolz Maria C. Valdés-Hernández David Alexander Dickie Joanna M. Wardlaw	1