Muhammad Asad

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All published works

Action	Title	Year	Authors
+ PDF Chat	Adaptive Multi-Modal Control of Digital Human Hand Synthesis Using a Region-Aware Cycle Loss	2024	Qifan Fu Xiaohang Yang Muhammad Asad Changjae Oh Shanxin Yuan Greg Slabaugh
+ PDF Chat	Convolution and Attention-Free Mamba-based Cardiac Image Segmentation	2024	Abbas Khan Muhammad Asad Martin Benning Caroline H. Roney Greg Slabaugh
+ PDF Chat	MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images	2024	Andrés Diaz-Pinto Sachidanand Alle Vishwesh Nath Yucheng Tang Alvin Ihsani Muhammad Asad Fernando Pérez‐García Pritesh Mehta Wenqi Li Mona G. Flores
+ PDF Chat	Multi-view Cardiac Image Segmentation via Trans-Dimensional Priors	2024	Abbas Khan Muhammad Asad Martin Benning Caroline H. Roney Greg Slabaugh
+ PDF Chat	DEEPBEAS3D: Deep Learning and B-Spline EXPLICIT Active Surfaces	2023	Helena Williams João Pedrosa Muhammad Asad Laura Cattani Tom Vercauteren Jan Deprest Jan D’hooge
+ PDF Chat	Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: application to surgical imaging	2023	Peichao Li Muhammad Asad Conor C. Horgan Oscar MacCormac Jonathan Shapey Tom Vercauteren
+	Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation	2023	Muhammad Asad Helena Williams Indrajeet Mandal Sarim Ather Jan Deprest Jan D’hooge Tom Vercauteren
+	DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images	2023	Andrés Diaz-Pinto Pritesh Mehta Sachidanand Alle Muhammad Asad Richard Brown Vishwesh Nath Alvin Ihsani Michela Antonelli Dániel Palkovics Csaba Pintér
+	DEEPBEAS3D: Deep Learning and B-Spline Explicit Active Surfaces	2023	Helena Williams João Pedrosa Muhammad Asad Laura Cattani Tom Vercauteren Jan Deprest Jan D’hooge
+ PDF Chat	FastGeodis: Fast Generalised Geodesic Distance Transform	2022	Muhammad Asad Reuben Dorent Tom Vercauteren
+	MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images	2022	Andrés Diaz-Pinto Sachidanand Alle Vishwesh Nath Yucheng Tang Alvin Ihsani Muhammad Asad Fernando Pérez‐García Pritesh Mehta Wenqi Li Mona G. Flores
+ PDF Chat	DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images	2022	Andrés Diaz-Pinto Pritesh Mehta Sachidanand Alle Muhammad Asad Richard Brown Vishwesh Nath Alvin Ihsani Michela Antonelli Dániel Palkovics Csaba Pintér
+ PDF Chat	PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks	2021	Muhammad Asad Rilwan Remilekun Basaru Sheeraz Arif Greg Slabaugh
+	PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks	2018	Muhammad Asad Rilwan Remilekun Basaru Sheeraz Arif Greg Slabaugh

Common Coauthors

Coauthor	Papers Together
Tom Vercauteren	9
Greg Slabaugh	5
Alvin Ihsani	4
M. Jorge Cardoso	4
Andrés Diaz-Pinto	4
Vishwesh Nath	4
Holger R. Roth	4
Daguang Xu	4
Sébastien Ourselin	4
Sachidanand Alle	4
Andrew Feng	3
Jan D’hooge	3
Helena Williams	3
Jan Deprest	3
Prerna Dogra	3
Laura Cattani	2
Pritesh Mehta	2
João Pedrosa	2
Michela Antonelli	2
Martin Benning	2
Rilwan Remilekun Basaru	2
Csaba Pintér	2
Steve Pieper	2
Dániel Palkovics	2
Mona G. Flores	2
Richard Brown	2
Fernando Pérez‐García	2
Caroline H. Roney	2
Abbas Khan	2
Abood Quraini	2
Wenqi Li	2
Sheeraz Arif	2
Pritesh Mehta	2
Qifan Fu	1
Prerna Dogra	1
Oscar MacCormac	1
Indrajeet Mandal	1
A. S. Feng	1
Sarim Ather	1
Conor C. Horgan	1
Xiaohang Yang	1
Ron N. Alkalay	1
Changjae Oh	1
Yucheng Tang	1
Reuben Dorent	1
Jonathan Shapey	1
Peichao Li	1
Yucheng Tang	1
Ron Alkalay	1
Shanxin Yuan	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation	2018	Guotai Wang María A. Zuluaga Wenqi Li Rosalind Pratt Premal A. Patel Michaël Aertsen Tom Doel Anna L. David Jan Deprest Sébastien Ourselin	7
+ PDF Chat	MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning	2021	Xiangde Luo Guotai Wang Tao Song Jingyang Zhang Michaël Aertsen Jan Deprest Sébastien Ourselin Tom Vercauteren Shaoting Zhang	5
+	Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning	2018	Guotai Wang Wenqi Li María A. Zuluaga Rosalind Pratt Premal A. Patel Michaël Aertsen Tom Doel Anna L. David Jan Deprest Sébastien Ourselin	4
+	ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation	2022	Muhammad Asad Lucas Fidon Tom Vercauteren	4
+ PDF Chat	3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation	2016	Özgün Çiçek Ahmed Abdulkadir Soeren S. Lienkamp Thomas Brox Olaf Ronneberger	4
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+ PDF Chat	The Medical Segmentation Decathlon	2022	Michela Antonelli Annika Reinke Spyridon Bakas Keyvan Farahani Annette Kopp‐Schneider Bennett A. Landman Geert Litjens Bjoern Menze Olaf Ronneberger Ronald M. Summers	3
+ PDF Chat	Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations	1988	Stanley Osher James A. Sethian	3
+ 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	3
+ PDF Chat	Interactive Segmentation via Deep Learning and B-Spline Explicit Active Surfaces	2021	Helena Williams João Pedrosa Laura Cattani Susanne Housmans Tom Vercauteren Jan Deprest Jan D’hooge	3
+ PDF Chat	UNETR: Transformers for 3D Medical Image Segmentation	2022	Ali Hatamizadeh Yucheng Tang Vishwesh Nath Dong Yang Andriy Myronenko Bennett A. Landman Holger R. Roth Daguang Xu	3
+	Depth Map Prediction from a Single Image using a Multi-Scale Deep Network	2014	David Eigen Christian Puhrsch Rob Fergus	2
+	Constrained Structured Regression with Convolutional Neural Networks	2015	Deepak Pathak Philipp Krähenbühl Stella X. Yu Trevor Darrell	2
+	Interactive segmentation of medical images through fully convolutional neural networks	2019	Tomas Sakinis Fausto Milletarì Holger R. Roth Panagiotis Korfiatis Petro Kostandy Kenneth A. Philbrick Zeynettin Akkus Ziyue Xu Daguang Xu Bradley J. Erickson	2
+	Integrating spatial configuration into heatmap regression based CNNs for landmark localization	2019	Christian Payer Darko Štern Horst Bischof Martin Urschler	2
+ PDF Chat	Deep Interactive Object Selection	2016	Ning Xu Brian Price Scott Cohen Shuicheng Yan Thomas S. Huang	2
+	Fully Convolutional Networks for Semantic Segmentation	2016	Evan Shelhamer Jonathan Long Trevor Darrell	2
+	A review of uncertainty estimation and its application in medical imaging	2023	Ke Zou Zhihao Chen Xuedong Yuan Xiaojing Shen Meng Wang Huazhu Fu	2
+ PDF Chat	Splines: a perfect fit for signal and image processing	1999	Michaël Unser	2
+ PDF Chat	Flowing ConvNets for Human Pose Estimation in Videos	2015	Tomas Pfister James Charles Andrew Zisserman	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	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	V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map	2018	Ju Yong Chang Gyeongsik Moon Kyoung Mu Lee	2
+ PDF Chat	Human Pose Estimation via Convolutional Part Heatmap Regression	2016	Adrian Bulat Georgios Tzimiropoulos	2
+ PDF Chat	Robust 3D Hand Pose Estimation in Single Depth Images: From Single-View CNN to Multi-View CNNs	2016	Liuhao Ge Hui Liang Junsong Yuan Daniël Thalmann	2
+ PDF Chat	Interactive Full Image Segmentation by Considering All Regions Jointly	2019	Eirikur Agustsson Jasper Uijlings Vittorio Ferrari	2
+	NASA-TLX Web App: An Online Tool to Analyse Subjective Workload	2020	Vinoth Pandian Sermuga Pandian Sarah Suleri	2
+	A Fully Global Approach to Image Segmentation via Coupled Curve Evolution Equations	2002	Anthony Yezzi Andy Tsai Alan S. Willsky	2
+ PDF Chat	Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image Segmentation	2020	Vishwesh Nath Dong Yang Bennett A. Landman Daguang Xu Holger R. Roth	2
+ PDF Chat	Going to Extremes: Weakly Supervised Medical Image Segmentation	2021	Holger R. Roth Dong Yang Ziyue Xu Xiaosong Wang Daguang Xu	2
+ PDF Chat	DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation	2021	Yufan He Dong Yang Holger R. Roth Can Zhao Daguang Xu	2
+ PDF Chat	Deep Extreme Cut: From Extreme Points to Object Segmentation	2018	Kevis-Kokitsi Maninis Sergi Caelles Jordi Pont-Tuset Luc Van Gool	2
+	A Comprehensive Analysis of Deep Regression	2020	Stéphane Lathuilière Pablo Mesejo Xavier Alameda-Pineda Radu Horaud	2
+	Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks	2019	Guotai Wang Wenqi Li Michaël Aertsen Jan Deprest Sébastien Ourselin Tom Vercauteren	2
+	Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients	2020	Sofie Tilborghs Ine Dirks Lucas Fidon Siri Willems Tom Eelbode Jeroen Bertels Bart Ilsen Arne Brys Adriana Dubbeldam Nico Buls	1
+	Pattern Recognition and Machine Learning	2007	Christopher Bishop	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+ PDF Chat	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	1
+	DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks	2016	Martin Rajchl Matthew C. H. Lee Ozan Oktay Konstantinos Kamnitsas Jonathan Passerat‐Palmbach Wenjia Bai Mellisa Damodaram Mary Rutherford Joseph V. Hajnal Bernhard Kainz	1
+	Mask R-CNN	2017	Kaiming He Georgia Gkioxari Piotr Dollár Ross Girshick	1
+ PDF Chat	Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation	2017	Lin Yang Yizhe Zhang Jianxu Chen Siyuan Zhang Danny Z. Chen	1
+ PDF Chat	Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection	2018	Weicheng Kuo Christian Häne Esther L. Yuh Pratik Mukherjee Jitendra Malik	1
+ PDF Chat	<i>In-Vivo</i>Hyperspectral Human Brain Image Database for Brain Cancer Detection	2019	Himar Fabelo Samuel Ortega Adam Szołna Diederik Bulters Juan F. Piñeiro Silvester Kabwama Aruma J-O’Shanahan Harry Bulstrode Sara Bisshopp B. Ravi Kiran	1
+	DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks	2016	Martin Rajchl Matthew C. H. Lee Ozan Oktay Konstantinos Kamnitsas Jonathan Passerat‐Palmbach Wenjia Bai Mellisa Damodaram Mary Rutherford Joseph V. Hajnal Bernhard Kainz	1
+	Depth Map Prediction from a Single Image using a Multi-Scale Deep Network	2014	David Eigen Christian Puhrsch Rob Fergus	1
+	Deep Bayesian Active Learning with Image Data	2017	Yarin Gal Riashat Islam Zoubin Ghahramani	1
+	3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation	2016	Özgün Çiçek Ahmed Abdulkadir Soeren S. Lienkamp Thomas Brox Olaf Ronneberger	1
+	SGDR: Stochastic Gradient Descent with Warm Restarts	2016	Ilya Loshchilov Frank Hutter	1
+ PDF Chat	Enhanced Deep Residual Networks for Single Image Super-Resolution	2017	Bee Lim Sanghyun Son Heewon Kim Seungjun Nah Kyoung Mu Lee	1
+ PDF Chat	The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of Mislabeling	2019	Yaoshiang Ho Samuel Wookey	1