Muhammad Dawood

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All published works

Action	Title	Year	Authors
+	SlideGraph<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si3.svg"><mml:msup><mml:mrow/><mml:mo>+</mml:mo></mml:msup></mml:math>: Whole slide image level graphs to predict HER2 status in breast cancer	2022	Wenqi Lu Michael S. Toss Muhammad Dawood Emad A. Rakha Nasir Rajpoot Fayyaz Minhas
+ PDF Chat	ALBRT: Cellular Composition Prediction in Routine Histology Images	2021	Muhammad Dawood Kim Branson Nasir Rajpoot Fayyaz Minhas
+	ALBRT: Cellular Composition Prediction in Routine Histology Images.	2021	Muhammad Dawood Kim Branson Nasir Rajpoot Fayyaz Minhas
+ PDF Chat	All You Need is Color: Image Based Spatial Gene Expression Prediction Using Neural Stain Learning	2021	Muhammad Dawood Kim Branson Nasir Rajpoot Fayyaz Minhas
+	A generalized meta-loss function for distillation and learning using privileged information for classification and regression	2018	Amina Asif Muhammad Dawood Fayyaz Minhas
+	A Generalized Meta-loss function for regression and classification using privileged information	2018	Amina Asif Muhammad Dawood Fayyaz Minhas

Common Coauthors

Coauthor	Papers Together
Fayyaz Minhas	6
Nasir Rajpoot	4
Kim Branson	3
Amina Asif	2
Michael S. Toss	1
Emad A. Rakha	1
Wenqi Lu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ 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	3
+ PDF Chat	Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images	2019	Simon Graham Quoc Dang Vu Shan E Ahmed Raza Ayesha Azam Yee Wah Tsang Jin Tae Kwak Nasir Rajpoot	3
+ PDF Chat	Scribble2Label: Scribble-Supervised Cell Segmentation via Self-generating Pseudo-Labels with Consistency	2020	Hyeonsoo Lee Won-Ki Jeong	2
+ PDF Chat	Xception: Deep Learning with Depthwise Separable Convolutions	2017	François Chollet	2
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	2
+ 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	2
+	UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction	2018	Leland McInnes John J. Healy	2
+	PanNuke Dataset Extension, Insights and Baselines	2020	Jevgenij Gamper Navid Alemi Koohbanani Simon Graham Mostafa Jahanifar Syed Ali Khurram Ayesha Azam Katherine Hewitt Nasir Rajpoot	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	Count-ception: Counting by Fully Convolutional Redundant Counting	2017	Joseph Cohen Geneviève Boucher Craig A. Glastonbury Henry Z. Lo Yoshua Bengio	2
+	Fast Graph Representation Learning with PyTorch Geometric	2019	Matthias Fey Jan Eric Lenssen	1
+ PDF Chat	One-Class SVM with Privileged Information and Its Application to Malware Detection	2016	Evgeny Burnaev Dmitry Smolyakov	1
+	Unifying distillation and privileged information	2016	David López-Paz Léon Bottou Bernhard Schölkopf Vladimir Vapnik	1
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	1
+ PDF Chat	Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks	2016	Nicolas Papernot Patrick McDaniel Xi Wu Somesh Jha Ananthram Swami	1
+ PDF Chat	Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology	2019	David Tellez Geert Litjens Péter Bándi Wouter Bulten John‐Melle Bokhorst Francesco Ciompi Jeroen van der Laak	1
+ PDF Chat	Dynamic Graph CNN for Learning on Point Clouds	2019	Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma Michael M. Bronstein Justin Solomon	1
+	New nonlocal forward model for diffuse optical tomography	2019	Wenqi Lu Jinming Duan Joshua Deepak Veesa Iain B. Styles	1
+	Machine Learning on Graphs: A Model and Comprehensive Taxonomy	2020	Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Murphy	1
+	Exact tests via multiple data splitting	2020	Cyrus DiCiccio Thomas J. DiCiccio Joseph P. Romano	1
+	XGBoost	2016	Tianqi Chen Carlos Guestrin	1
+	Data-efficient and weakly supervised computational pathology on whole-slide images	2021	Ming Y. Lu Drew F. K. Williamson Tiffany Chen Richard J. Chen Matteo Barbieri Faisal Mahmood	1
+	Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology, Pathology, Genomic, and Clinical Data.	2021	Nathaniel Braman Jacob W. H. Gordon Emery T. Goossens Caleb Willis Martin C. Stumpe Jagadish Venkataraman	1
+ PDF Chat	Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading	2021	Ellery Wulczyn Kunal Nagpal Matthew R. E. Symonds Melissa Moran Markus Plass Robert Reihs Farah Nader Fraser Elisabeth Tan Yuannan Cai Trissia Brown	1
+ PDF Chat	Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology, Pathology, Genomic, and Clinical Data	2021	Nathaniel Braman Jacob W. H. Gordon Emery T. Goossens Caleb Willis Martin C. Stumpe Jagadish Venkataraman	1
+	Modern hierarchical, agglomerative clustering algorithms	2011	Daniel Müllner	1
+	NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation	2021	Mohamed Amgad Lamees A Atteya Hagar Hussein Kareem Hosny Mohammed Ehab Hafiz Maha AT Elsebaie Ahmed M. Alhusseiny Mohamed Atef AlMoslemany Abdelmagid M. Elmatboly Philip A. Pappalardo	1
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	1
+ PDF Chat	Deep learning in neural networks: An overview	2014	Jürgen Schmidhuber	1
+	Distilling Knowledge from Deep Networks with Applications to Healthcare Domain	2015	Zhengping Che Sanjay Purushotham Robinder G. Khemani Yan Liu	1
+ PDF Chat	Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification	2016	Le Hou Dimitris Samaras Tahsin Kurç Yi Gao James Davis Joel Saltz	1
+ PDF Chat	Learning and Refining of Privileged Information-Based RNNs for Action Recognition from Depth Sequences	2017	Zhiyuan Shi Tae‐Kyun Kim	1
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	1
+ PDF Chat	<scp>HER</scp>2 challenge contest: a detailed assessment of automated <scp>HER</scp>2 scoring algorithms in whole slide images of breast cancer tissues	2017	Talha Qaiser Abhik Mukherjee Chaitanya Reddy PB Sai Dileep Munugoti T. Vamsi Tomi Pitkäaho Taina Lehtimäki Thomas J. Naughton Matt Berseth Aníbal Pedraza	1
+	Large scale distributed neural network training through online distillation	2018	Rohan Anil Gabriel Pereyra Alexandre Passos Róbert Ormándi George E. Dahl Geoffrey E. Hinton	1
+	Graph- and finite element-based total variation models for the inverse problem in diffuse optical tomography	2019	Wenqi Lu Jinming Duan David Orive-Miguel Lionel Hervé Iain B. Styles	1