Purang Abolmaesumi

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All published works

Action	Title	Year	Authors
+ PDF Chat	Cinepro: Robust Training of Foundation Models for Cancer Detection in Prostate Ultrasound Cineloops	2025	Mohamed Harmanani Amoon Jamzad Minh Nguyen Nhat To Paul Wilson Zhengjia Guo Fahimeh Fooladgar Samira Sojoudi Mahdi Gilany Silvia D. Chang Peter C. Black
+ PDF Chat	Reliable Multi-View Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography	2024	Ang Nan Gu Michael Y.C. Tsang Hooman Vaseli Teresa S.M. Tsang Purang Abolmaesumi
+ PDF Chat	Federated Impression for Learning with Distributed Heterogeneous Data	2024	Atrin Arya Sana Ayromlou Armin Saadat Purang Abolmaesumi Xiaoxiao Li
+ PDF Chat	Calibrated Diverse Ensemble Entropy Minimization for Robust Test-Time Adaptation in Prostate Cancer Detection	2024	Mahdi Gilany Mohamed Harmanani Paul Wilson Minh Nguyen Nhat To Amoon Jamzad Fahimeh Fooladgar Brian Wodlinger Purang Abolmaesumi Parvin Mousavi
+ PDF Chat	CCSI: Continual Class-Specific Impression for data-free class incremental learning	2024	Sana Ayromlou Teresa S.M. Tsang Purang Abolmaesumi Xiaoxiao Li
+ PDF Chat	CCSI: Continual Class-Specific Impression for Data-free Class Incremental Learning	2024	Sana Ayromlou Teresa S.M. Tsang Purang Abolmaesumi Xiaoxiao Li
+ PDF Chat	Benchmarking image transformers for prostate cancer detection from ultrasound data	2024	Mohamed Harmanani Paul Wilson Fahimeh Fooladgar Amoon Jamzad Mahdi Gilany Minh Nguyen Nhat To Brian Wodlinger Purang Abolmaesumi Parvin Mousavi
+ PDF Chat	Benchmarking Image Transformers for Prostate Cancer Detection from Ultrasound Data	2024	Mohamed Harmanani Paul Wilson Fahimeh Fooladgar Amoon Jamzad Mahdi Gilany Minh Nguyen Nhat To Brian Wodlinger Purang Abolmaesumi Parvin Mousavi
+ PDF Chat	Self-Supervised Learning With Limited Labeled Data for Prostate Cancer Detection in High-Frequency Ultrasound	2023	Paul Wilson Mahdi Gilany Amoon Jamzad Fahimeh Fooladgar Minh Nguyen Nhat To Brian Wodlinger Purang Abolmaesumi Parvin Mousavi
+	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
+ PDF Chat	TRUSformer: improving prostate cancer detection from micro-ultrasound using attention and self-supervision	2023	Mahdi Gilany Paul Wilson Andrea Perera-Ortega Amoon Jamzad Minh Nguyen Nhat To Fahimeh Fooladgar Brian Wodlinger Purang Abolmaesumi Parvin Mousavi
+	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
+	TRUSformer: Improving Prostate Cancer Detection from Micro-Ultrasound Using Attention and Self-Supervision	2023	Mahdi Gilany Paul Wilson Andrea Perera-Ortega Amoon Jamzad Minh Nguyen Nhat To Fahimeh Fooladgar Brian Wodlinger Purang Abolmaesumi Parvin Mousavi
+	EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms	2023	Masoud Mokhtari Mobina Mahdavi Hooman Vaseli Christina Luong Purang Abolmaesumi Teresa S.M. Tsang Renjie Liao
+	ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography	2023	Hooman Vaseli Ang Nan Gu Shahin Amiri Michael Tsang Andrea Fung Nima Kondori Armin Saadat Purang Abolmaesumi Teresa S.M. Tsang
+	Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise	2023	Fahimeh Fooladgar Minh Nguyen Nhat To Parvin Mousavi Purang Abolmaesumi
+	GEMTrans: A General, Echocardiography-based, Multi-Level Transformer Framework for Cardiovascular Diagnosis	2023	Masoud Mokhtari Neda Ahmadi Teresa S.M. Tsang Purang Abolmaesumi Renjie Liao
+	FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare	2023	Karim Lekadir Aasa Feragen Abdul Joseph Fofanah Alejandro F. Frangi Alena Buyx Anais Emelie Andrea Lara Antonio R. Porras An‐Wen Chan Arcadi Navarro
+ PDF Chat	Class Impression for Data-Free Incremental Learning	2022	Sana Ayromlou Purang Abolmaesumi Teresa S.M. Tsang Xiaoxiao Li
+	Towards Confident Detection of Prostate Cancer using High Resolution Micro-ultrasound	2022	Mahdi Gilany Paul Wilson Amoon Jamzad Fahimeh Fooladgar Minh Nguyen Nhat To Brian Wodlinger Purang Abolmaesumi Parvin Mousavi
+	EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks	2022	Masoud Mokhtari Teresa S.M. Tsang Purang Abolmaesumi Renjie Liao
+ PDF Chat	Towards Confident Detection of Prostate Cancer Using High Resolution Micro-ultrasound	2022	Mahdi Gilany Paul Wilson Amoon Jamzad Fahimeh Fooladgar Minh Nguyen Nhat To Brian Wodlinger Purang Abolmaesumi Parvin Mousavi
+ PDF Chat	EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks	2022	Masoud Mokhtari Teresa S.M. Tsang Purang Abolmaesumi Renjie Liao
+	Self-Supervised Learning with Limited Labeled Data for Prostate Cancer Detection in High Frequency Ultrasound	2022	Paul Wilson Mahdi Gilany Amoon Jamzad Fahimeh Fooladgar Minh Nguyen Nhat To Brian Wodlinger Purang Abolmaesumi Parvin Mousavi
+	Class Impression for Data-free Incremental Learning	2022	Sana Ayromlou Purang Abolmaesumi Teresa S.M. Tsang Xiaoxiao Li
+ PDF Chat	U-LanD: Uncertainty-Driven Video Landmark Detection	2021	Mohammad H. Jafari Christina Luong Michael Tsang Ang Nan Gu Nathan Van Woudenberg Robert Rohling Teresa S.M. Tsang Purang Abolmaesumi
+ PDF Chat	Reciprocal Landmark Detection and Tracking with Extremely Few Annotations	2021	Jianzhe Lin Ghazal Sahebzamani Christina Luong Fatemeh Taheri Dezaki Mohammad H. Jafari Purang Abolmaesumi Teresa S.M. Tsang
+	Echo-SyncNet: Self-Supervised Cardiac View Synchronization in Echocardiography	2021	Fatemeh Taheri Dezaki Christina Luong Tom Ginsberg Robert Rohling Ken Gin Purang Abolmaesumi Teresa S.M. Tsang
+	Echo-SyncNet: Self-supervised Cardiac View Synchronization in Echocardiography	2021	Fatemeh Taheri Dezaki Christina Luong Tom Ginsberg Robert Rohling Ken Gin Purang Abolmaesumi Teresa S.M. Tsang
+	Reciprocal Landmark Detection and Tracking with Extremely Few Annotations	2021	Jianzhe Lin Ghazal Sahebzamani Christina Luong Fatemeh Taheri Dezaki Mohammad H. Jafari Purang Abolmaesumi Teresa S.M. Tsang
+	Echo-SyncNet: Self-supervised Cardiac View Synchronization in Echocardiography	2021	Fatemeh Taheri Dezaki Christina Luong Tom Ginsberg Robert Rohling Ken Gin Purang Abolmaesumi Teresa S.M. Tsang
+	U-LanD: Uncertainty-Driven Video Landmark Detection	2021	Mohammad H. Jafari Christina Luong Michael Tsang Ang Nan Gu Nathan Van Woudenberg Robert Rohling Teresa S.M. Tsang Purang Abolmaesumi
+	PEP: Parameter Ensembling by Perturbation.	2020	Alireza Mehrtash Purang Abolmaesumi Polina Golland Tina Kapur Demián Wassermann William M. Wells
+ PDF Chat	Stochastic Sequential Modeling: Toward Improved Prostate Cancer Diagnosis Through Temporal-Ultrasound	2020	Layan Nahlawi Farhad Imani Mena Gaed José A. Gómez Madeleine Moussa Eli Gibson Aaron Fenster Aaron D. Ward Purang Abolmaesumi Parvin Mousavi
+ 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
+ PDF Chat	Medical Image Computing and Computer Assisted Intervention – MICCAI 2020	2020	Anne L. Martel Purang Abolmaesumi Danail Stoyanov Diana Mateus María A. Zuluaga Shuchang Zhou Daniel Racoceanu Leo Joskowicz
+	PEP: Parameter Ensembling by Perturbation	2020	Alireza Mehrtash Purang Abolmaesumi Polina Golland Tina Kapur Demián Wassermann William M. Wells
+ PDF Chat	On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra- Observer Variability in 2D Echocardiography Quality Assessment	2019	Zhibin Liao Hany Girgis Amir H. Abdi Hooman Vaseli Jorden Hetherington Robert Rohling Ken Gin Teresa S.M. Tsang Purang Abolmaesumi
+	Variational Learning with Disentanglement-PyTorch.	2019	Amir H. Abdi Purang Abolmaesumi Sidney Fels
+	Variational Mandible Shape Completion for Virtual Surgical Planning	2019	Amir H. Abdi Mehran Pesteie Eitan Prisman Purang Abolmaesumi Sidney Fels
+	Variational Shape Completion for Virtual Planning of Jaw Reconstructive Surgery	2019	Amir H. Abdi Mehran Pesteie Eitan Prisman Purang Abolmaesumi Sidney Fels
+ PDF Chat	Variational Shape Completion for Virtual Planning of Jaw Reconstructive Surgery	2019	Amir H. Abdi Mehran Pesteie Eitan Prisman Purang Abolmaesumi Sidney Fels
+	On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra-observer Variability in 2D Echocardiography Quality Assessment	2019	Zhibin Liao Hany Girgis Amir H. Abdi Hooman Vaseli Jorden Hetherington Robert Rohling Ken Gin Teresa S.M. Tsang Purang Abolmaesumi
+	GAN-enhanced Conditional Echocardiogram Generation	2019	Amir H. Abdi Teresa S.M. Tsang Purang Abolmaesumi
+	A Preliminary Study of Disentanglement With Insights on the Inadequacy of Metrics	2019	Amir H. Abdi Purang Abolmaesumi Sidney Fels
+	A Study into Echocardiography View Conversion	2019	Amir H. Abdi Mohammad H. Jafari Sidney Fels Teresa S.M. Tsang Purang Abolmaesumi
+	Variational Learning with Disentanglement-PyTorch	2019	Amir H. Abdi Purang Abolmaesumi Sidney Fels
+	Deep Neural Maps	2018	Mehran Pesteie Purang Abolmaesumi Robert Rohling
+	Deep Neural Maps	2018	Mehran Pesteie Purang Abolmaesumi Robert Rohling
+	Deep Neural Maps	2018	Mehran Pesteie Purang Abolmaesumi Robert Rohling
+ PDF Chat	Stochastic Modeling of Temporal Enhanced Ultrasound: Impact of Temporal Properties on Prostate Cancer Characterization	2017	Layan Nahlawi Purang Abolmaesumi Hagit Shatkay Parvin Mousavi Caroline Gonçalves Farhad Imani Mena Gaed José A. Gómez Madeleine Moussa Eli Gibson
+ 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
+ PDF Chat	Joint source based analysis of multiple brain structures in studying major depressive disorder	2014	Mahdi Ramezani Abtin Rasoulian Tom Hollenstein Kate L. Harkness Ingrid S. Johnsrude Purang Abolmaesumi
+	A statistical shape+pose model for segmentation of wrist CT images	2014	Emran Mohammad Abu Anas Abtin Rasoulian Paul John David R. Pichora Robert Rohling Purang Abolmaesumi
+	Multi-object statistical analysis of late adolescent depression	2013	Mahdi Ramezani Abtin Rasoulian Purang Abolmaesumi Tom Hollenstein Ingrid S. Johnsrude Kate L. Harkness
+	Group-Wise Registration of Point Sets for Statistical Shape Models	2012	Abtin Rasoulian Robert Rohling Purang Abolmaesumi
+	Probabilistic pairwise Markov models: application to prostate cancer detection	2009	James Monaco John E. Tomaszewski Michael D. Feldman Mehdi Moradi Parvin Mousavi Alexander H. Boag Chris Davidson Purang Abolmaesumi Anant Madabhushi

Common Coauthors

Coauthor	Papers Together
Teresa S.M. Tsang	21
Parvin Mousavi	14
Robert Rohling	12
Fahimeh Fooladgar	11
Minh Nguyen Nhat To	11
Mahdi Gilany	10
Amir H. Abdi	10
Paul Wilson	10
Amoon Jamzad	10
Brian Wodlinger	9
Christina Luong	8
Sidney Fels	7
Mehran Pesteie	7
Mohammad H. Jafari	7
Alireza Mehrtash	6
William M. Wells	6
Tina Kapur	6
Hooman Vaseli	5
Fatemeh Taheri Dezaki	5
Sana Ayromlou	5
Ken Gin	5
Renjie Liao	4
Abtin Rasoulian	4
Mohamed Harmanani	4
Ang Nan Gu	4
Tom Ginsberg	3
Michael Tsang	3
Masoud Mokhtari	3
Eitan Prisman	3
Xiaoxiao Li	3
Mena Gaed	2
Mike Jin	2
Nick Jowkar	2
Hany Girgis	2
Farhad Imani	2
Madeleine Moussa	2
Edward W. Boyer	2
Kira Prentice	2
Mahdi Ramezani	2
Kate L. Harkness	2
Hagit Shatkay	2
Alexandra J. Golby	2
Andrea Perera-Ortega	2
Layan Nahlawi	2
Tom Hollenstein	2
Paul B. Shyn	2
Jorden Hetherington	2
Aaron Fenster	2
Maria A. Duran-Mendicuti	2
Ghazal Sahebzamani	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+ PDF Chat	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	2016	Fausto Milletarì Nassir Navab Seyed‐Ahmad Ahmadi	5
+ PDF Chat	Recurrent Aggregation Learning for Multi-view Echocardiographic Sequences Segmentation	2019	Ming Li Weiwei Zhang Guang Yang Chengjia Wang Heye Zhang Huafeng Liu Wei Zheng Shuo Li	4
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference	2015	Yarin Gal Zoubin Ghahramani	3
+	On Calibration of Modern Neural Networks	2017	Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger	3
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	3
+ 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	3
+ PDF Chat	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	3
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	3
+	Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning	2015	Yarin Gal Zoubin Ghahramani	3
+ PDF Chat	A Closer Look at Spatiotemporal Convolutions for Action Recognition	2018	Du Tran Heng Wang Lorenzo Torresani Jamie Ray Yann LeCun Manohar Paluri	3
+	What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?	2017	Alex Kendall Yarin Gal	3
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	3
+ PDF Chat	Learning Correspondence From the Cycle-Consistency of Time	2019	Xiaolong Wang Allan Jabri Alexei A. Efros	3
+	FitNets: Hints for Thin Deep Nets	2014	Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang Carlo Gatta Yoshua Bengio	2
+ PDF Chat	Temporal Cycle-Consistency Learning	2019	Debidatta Dwibedi Yusuf Aytar Jonathan Tompson Pierre Sermanet Andrew Zisserman	2
+ PDF Chat	Selective Experience Replay for Lifelong Learning	2018	David Isele Akansel Cosgun	2
+ PDF Chat	Left Ventricle Segmentation via Optical-Flow-Net from Short-Axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion	2018	Wenjun Yan Yuanyuan Wang Zeju Li Rob J. van der Geest Qian Tao	2
+ PDF Chat	Tracking Emerges by Colorizing Videos	2018	Carl Vondrick Abhinav Shrivastava Alireza Fathi Sergio Guadarrama Kevin Murphy	2
+ PDF Chat	A machine-learning framework for automatic reference-free quality assessment in MRI	2018	Thomas Küstner Sergios Gatidis Annika Liebgott Martin Schwartz Lars Mauch Petros Martirosian H. R. Schmidt NF Schwenzer Konstantin Nikolaou Fabian Bamberg	2
+ PDF Chat	iCaRL: Incremental Classifier and Representation Learning	2017	Sylvestre-Alvise Rebuffi Alexander Kolesnikov Georg Sperl Christoph H. Lampert	2
+	Weight Uncertainty in Neural Networks	2015	Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra	2
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	2
+	Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding	2017	Alex Kendall Vijay Badrinarayanan Roberto Cipolla	2
+ PDF Chat	Intrinsic Statistics on Riemannian Manifolds: Basic Tools for Geometric Measurements	2006	Xavier Pennec	2
+ PDF Chat	Label Distribution Learning	2016	Xin Geng	2
+ PDF Chat	Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control	2019	Abhijit Guha Roy Sailesh Conjeti Nassir Navab Christian Wachinger	2
+ PDF Chat	Convexity, Classification, and Risk Bounds	2006	Peter L. Bartlett Michael I. Jordan Jon McAuliffe	2
+ PDF Chat	Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences	2018	Chen Qin Wenjia Bai Jo Schlemper Steffen E. Petersen Stefan K. Piechnik Stefan Neubauer Daniel Rueckert	2
+ PDF Chat	Low-Shot Learning with Imprinted Weights	2018	H. Jerry Qi Matthew A. Brown David Lowe	2
+ PDF Chat	Automated Segmentation on the Entire Cardiac Cycle Using a Deep Learning Work - Flow	2018	Nicoló Savioli Miguel Silva Vieira Pablo Lamata Giovanni Montana	2
+ PDF Chat	Image-to-Image Translation with Conditional Adversarial Networks	2017	Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros	2
+ PDF Chat	Unsupervised Learning of Visual Representations Using Videos	2015	Xiaolong Wang Abhinav Gupta	2
+	Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation	2017	Ozan Oktay Enzo Ferrante Konstantinos Kamnitsas Mattias P. Heinrich‬ Wenjia Bai José Caballero Stuart A. Cook Antonio de Marvao Timothy J. W. Dawes Declan P. O’Regan	2
+	Misclassified multinomial data: a Bayesian approach	2007	Carlos J. Pérez Francisco Javier Girón González-Torre J. Martı́n Mónica Vallejo Ruiz C. Rojano	2
+ PDF Chat	Deep Label Distribution Learning With Label Ambiguity	2017	Bin-Bin Gao Chao Xing Chen-Wei Xie Jianxin Wu Xin Geng	2
+	Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling	2016	Jiajun Wu Chengkai Zhang Tianfan Xue William T. Freeman Joshua B. Tenenbaum	2
+	Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling	2014	Jun‐Young Chung Çaǧlar Gülçehre Kyunghyun Cho Yoshua Bengio	2
+ PDF Chat	A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI	2016	M. R. Avendi Arash Kheradvar Hamid Jafarkhani	2
+ PDF Chat	Dynamic Few-Shot Visual Learning Without Forgetting	2018	Spyros Gidaris Nikos Komodakis	2
+ PDF Chat	Automated cardiovascular magnetic resonance image analysis with fully convolutional networks	2018	Wenjia Bai Matthew Sinclair Giacomo Tarroni Ozan Oktay Martin Rajchl Ghislain Vaillant Aaron M. Lee Nay Aung Elena Lukaschuk Mihir M. Sanghvi	2
+ PDF Chat	Expert Gate: Lifelong Learning with a Network of Experts	2017	Rahaf Aljundi Punarjay Chakravarty Tinne Tuytelaars	2
+	A sequential algorithm for training text classifiers	1994	David Lewis William A. Gale	2
+	TAN: Temporal Affine Network for Real-Time Left Ventricle Anatomical Structure Analysis Based on 2D Ultrasound Videos	2019	Sihong Chen Kai Ma Yefeng Zheng	2
+	Objects as Points	2019	Xingyi Zhou Dequan Wang Philipp Krähenbühl	2
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	2
+ PDF Chat	Point Set Registration: Coherent Point Drift	2010	Andriy Myronenko Xubo Song	2
+	Learning without Forgetting	2017	Zhizhong Li Derek Hoiem	2
+ PDF Chat	Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification	2016	Ishan Misra C. Lawrence Zitnick Martial Hebert	2