Mahmoud Mostapha

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All published works

Action	Title	Year	Authors
+ PDF Chat	Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images	2025	Saikat Roy Mahmoud Mostapha Radu Miron Matthew Holbrook Mariappan S. Nadar
+ PDF Chat	Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction	2021	Matthew J. Muckley Bruno Riemenschneider Alireza Radmanesh Sunwoo Kim Geunu Jeong Jingyu Ko Yohan Jun Hyungseob Shin Dosik Hwang Mahmoud Mostapha
+ PDF Chat	State-of-the-art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge	2020	Matthew J. Muckley Bruno Riemenschneider Alireza Radmanesh Sunwoo Kim Geunu Jeong Jingyu Ko Yohan Jun Hyungseob Shin Dosik Hwang Mahmoud Mostapha
+ PDF Chat	Conformal initialization for shape analysis applications in SALT	2019	Zhengyang Fang Mahmoud Mostapha Juan Carlos Prieto Martin Styner
+ PDF Chat	Model selection for spatiotemporal modeling of early childhood sub-cortical development	2019	James Fishbaugh Beatriz Paniagua Mahmoud Mostapha Martin Styner Veronica Murphy John H. Gilmore Guido Gerig
+ PDF Chat	SlicerSALT: Shape AnaLysis Toolbox	2018	Jared Vicory Laura E. Pascal P.R. Hernández James Fishbaugh Juan Carlos Prieto Mahmoud Mostapha Chao Huang Hina Shah Jun-Pyo Hong Zhiyuan Liu

Common Coauthors

Coauthor	Papers Together
Martin Styner	3
Beatriz Paniagua	2
Jean‐Luc Starck	2
Guido Gerig	2
James Fishbaugh	2
Yohan Jun	2
Dosik Hwang	2
Alireza Radmanesh	2
Matthew J. Muckley	2
Jonas Teuwen	2
Dominik Nickel	2
Simon Arberet	2
Nafissa Yakubova	2
Yvonne W. Lui	2
Anuroop Sriram	2
Zaccharie Ramzi	2
Zhengnan Huang	2
Hyungseob Shin	2
Bruno Riemenschneider	2
Dimitrios Karkalousos	2
Florian Knöll	2
Jingyu Ko	2
Sunwoo Kim	2
Chaoping Zhang	2
Juan Carlos Prieto	2
Philippe Ciuciu	2
Geunu Jeong	2
Jean‐Christophe Fillion‐Robin	1
Hina Shah	1
Stephen M. Pizer	1
Zhiyuan Liu	1
Loic Michoud	1
Zhengyang Fang	1
Jared Vicory	1
Radu Miron	1
Saikat Roy	1
Laura E. Pascal	1
P.R. Hernández	1
Hongtu Zhu	1
Veronica Murphy	1
Matthew Holbrook	1
Jun-Pyo Hong	1
Chao Huang	1
Mariappan S. Nadar	1
John H. Gilmore	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Estimation of Smooth Growth Trajectories with Controlled Acceleration from Time Series Shape Data	2011	James Fishbaugh Stanley Durrleman Guido Gerig	2
+	Framework for the Statistical Shape Analysis of Brain Structures using SPHARM-PDM.	2006	Martin Styner İpek Oğuz Shun Xu Christian Brechbühler Dimitrios Pantazis James J. Levitt Martha E. Shenton Guido Gerig	2
+ PDF Chat	Particle Based Shape Regression of Open Surfaces with Applications to Developmental Neuroimaging	2009	Manasi Datar Joshua Cates P. Thomas Fletcher Sylvain Gouttard Guido Gerig Ross T. Whitaker	1
+	cuDNN: Efficient Primitives for Deep Learning	2014	Sharan Chetlur Cliff Woolley Philippe Vandermersch Jonathan Cohen John Tran Bryan Catanzaro Evan Shelhamer	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+ PDF Chat	Spatiotemporal Atlas Estimation for Developmental Delay Detection in Longitudinal Datasets	2009	Stanley Durrleman Xavier Pennec Alain Trouvé Guido Gerig Nicholas Ayache	1
+	scikit-image: image processing in Python	2014	Stéfan van der Walt Johannes L. Schönberger Juan Nunez-Iglesias François Boulogne Joshua Warner Neil Yager Emmanuelle Gouillart Tony Yu	1
+ PDF Chat	Morphometry of anatomical shape complexes with dense deformations and sparse parameters	2014	Stanley Durrleman Marcel Prastawa Nicolas Charon Julie R. Korenberg Sarang Joshi Guido Gerig Alain Trouvé	1
+ PDF Chat	XVIII.—On the Functions which are represented by the Expansions of the Interpolation-Theory	1915	E. T. Whittaker	1
+ PDF Chat	A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging	2010	Antonin Chambolle Thomas Pock	1
+ PDF Chat	Intrinsic Polynomials for Regression on Riemannian Manifolds	2014	Jacob Hinkle P. Thomas Fletcher Sarang Joshi	1
+ PDF Chat	Multiscale Adaptive Regression Models for Neuroimaging Data	2011	Yimei Li Hongtu Zhu Dinggang Shen Weili Lin John H. Gilmore Joseph G. Ibrahim	1
+ PDF Chat	Deep, Big, Simple Neural Nets for Handwritten Digit Recognition	2010	Dan Claudiu Cireşan Ueli Meier Luca Maria Gambardella Jürgen Schmidhuber	1
+ PDF Chat	Algorithms to automatically quantify the geometric similarity of anatomical surfaces	2011	Douglas Boyer Yaron Lipman Elizabeth M. St. Clair Jesús Puente Biren A. Patel Thomas Funkhouser Jukka Jernvall Ingrid Daubechies	1
+ PDF Chat	Sasaki metrics for analysis of longitudinal data on manifolds	2012	P. Muralidharan P. Thomas Fletcher	1
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction	2017	Jo Schlemper José Caballero Joseph V. Hajnal Anthony N. Price Daniel Rueckert	1
+	Learning a variational network for reconstruction of accelerated MRI data	2017	Kerstin Hammernik Teresa Klatzer Erich Kobler Michael P. Recht Daniel K. Sodickson Thomas Pock Florian Knöll	1
+ PDF Chat	Geodesic shape regression with multiple geometries and sparse parameters	2017	James Fishbaugh Stanley Durrleman Marcel Prastawa Guido Gerig	1
+ PDF Chat	Image reconstruction by domain-transform manifold learning	2018	Bo Zhu Jeremiah Zhe Liu Stephen Cauley Bruce R. Rosen Matthew S. Rosen	1
+	Recurrent Inference Machines for Solving Inverse Problems	2017	Patrick Putzky Max Welling	1
+ PDF Chat	Group-wise shape correspondence of variable and complex objects	2018	Ilwoo Lyu Jonathan Perdomo Gabriel Yapuncich Beatriz Paniagua Douglas Boyer Martin Styner	1
+ PDF Chat	Estimating shape correspondence for populations of objects with complex topology	2018	James Fishbaugh Laura E. Pascal Luke Fischer Tung Nguyen Celso Boen João Roberto Gonçalves Guido Gerig Beatriz Paniagua	1
+	fastMRI: An Open Dataset and Benchmarks for Accelerated MRI	2018	Jure Žbontar Florian Knöll Anuroop Sriram Matthew J. Muckley Mary Bruno Aaron Defazio Marc Parente Krzysztof J. Geras Joe Katsnelson Hersh Chandarana	1
+ PDF Chat	On instabilities of deep learning in image reconstruction and the potential costs of AI	2020	Vegard Antun Francesco Renna Clarice Poon Ben Adcock Anders C. Hansen	1
+	TensorFlow: A system for large-scale machine learning	2016	Martı́n Abadi Paul Barham Jianmin Chen Zhifeng Chen Andy Davis Jay B. Dean Matthieu Devin Sanjay Ghemawat Geoffrey Irving Michael Isard	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	1
+ PDF Chat	Multi-level Wavelet-CNN for Image Restoration	2018	Pengju Liu Hongzhi Zhang Kai Zhang Liang Lin Wangmeng Zuo	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+	On the Variance of the Adaptive Learning Rate and Beyond	2019	Liyuan Liu Haoming Jiang Pengcheng He Weizhu Chen Xiaodong Liu Jianfeng Gao Jiawei Han	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
+	i-RIM applied to the fastMRI challenge.	2019	Patrick Putzky Dimitrios Karkalousos Jonas Teuwen Nikita Miriakov Bart Bakker Matthan W.A. Caan Max Welling	1
+	$Σ$-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction	2019	Kerstin Hammernik Jo Schlemper Chen Qin Jinming Duan Ronald M. Summers Daniel Rueckert	1
+ PDF Chat	Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge	2020	Florian Knöll Tullie Murrell Anuroop Sriram Nafissa Yakubova Jure Žbontar Michael Rabbat Aaron Defazio Matthew J. Muckley Daniel K. Sodickson C. Lawrence Zitnick	1
+	MRI Banding Removal via Adversarial Training	2020	Aaron Defazio Tullie Murrell Michael P. Recht	1
+ PDF Chat	fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning	2020	Florian Knöll Jure Žbontar Anuroop Sriram Matthew J. Muckley Mary Bruno Aaron Defazio Marc Parente Krzysztof J. Geras Joe Katsnelson Hersh Chandarana	1
+	An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction: Application to the 2019 fastMRI Challenge	2020	Nicola Pezzotti Sahar Yousefi Mohamed S. Elmahdy Jeroen Hendrikus Fransiscus Van Gemert Christophe Schülke Mariya Doneva Tim Tolker‐Nielsen Sergey Kastryulin Boudewijn P. F. Lelieveldt Matthias J.P. van Osch	1
+ PDF Chat	Self‐supervised learning of physics‐guided reconstruction neural networks without fully sampled reference data	2020	Burhaneddin Yaman Seyed Amir Hossein Hosseini Steen Moeller Jutta Ellermann Kâmil Uǧurbil Mehmet Akçakaya	1
+ PDF Chat	End-to-End Variational Networks for Accelerated MRI Reconstruction	2020	Anuroop Sriram Jure Žbontar Tullie Murrell Aaron Defazio C. Lawrence Zitnick Nafissa Yakubova Florian Knöll Patricia A. Johnson	1
+	XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge	2020	Zaccharie Ramzi Philippe Ciuciu Jean‐Luc Starck	1
+ PDF Chat	An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction	2020	Nicola Pezzotti Sahar Yousefi Mohamed S. Elmahdy Jeroen Hendrikus Fransiscus Van Gemert Christophe Schuelke Mariya Doneva Tim Tolker‐Nielsen Sergey Kastryulin Boudewijn P. F. Lelieveldt Matthias J.P. van Osch	1
+	Multi-channel MR Reconstruction (MC-MRRec) Challenge - Comparing Accelerated MR Reconstruction Models and Assessing Their Genereralizability to Datasets Collected with Different Coils.	2020	Youssef Beauferris Jonas Teuwen Dimitrios Karkalousos Nikita Moriakov Matthan W.A. Caan Lívia Rodrigues Alexandre Lopes Hélio Pedrini Letícia Rittner Maik Dannecker	1
+ PDF Chat	MoDL: Model-Based Deep Learning Architecture for Inverse Problems	2018	Hemant Kumar Aggarwal Merry Mani Mathews Jacob	1
+ PDF Chat	Learned Primal-Dual Reconstruction	2018	Jonas Adler Ozan Öktem	1
+ PDF Chat	CG‐SENSE revisited: Results from the first ISMRM reproducibility challenge	2020	Oliver Maier Steven H. Baete Alexander Fyrdahl Kerstin Hammernik Seb Harrevelt Lars Kasper Agâh Karakuzu Michael Loecher Franz Patzig Ye Tian	1
+	XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge.	2020	Zaccharie Ramzi Philippe Ciuciu Jean‐Luc Starck	1
+	Communication in the Presence of Noise	1949	Claude E. Shannon	1
+	Multi-Coil MRI Reconstruction Challenge -- Assessing Brain MRI Reconstruction Models and their Generalizability to Varying Coil Configurations	2020	Youssef Beauferris Jonas Teuwen Dimitrios Karkalousos Nikita Moriakov Mattha Caan George Yiasemis Lívia Rodrigues Alexandre Días Lópes Hélio Pedrini Letícia Rittner	1