Andrew Feng

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All published works

Action	Title	Year	Authors
+ PDF Chat	C-FedRAG: A Confidential Federated Retrieval-Augmented Generation System	2024	P. H. Addison Le-Minh Nguyen Tomislav Medan Mohammad T. Manzari Brendan McElrone Laksh Lalwani Aboli More - Smita Sharma Holger R. Roth Isaac Yang
+ PDF Chat	Open-Vocabulary High-Resolution 3D (OVHR3D) Data Segmentation and Annotation Framework	2024	Jiuyi Xu Meida Chen Andrew Feng Yangming Shi Zifan Yu
+ PDF Chat	Skyeyes: Ground Roaming using Aerial View Images	2024	Zhiyuan Gao Wenbin Teng G. F. R. Chen Jian-Kuen Wu Ningli Xu Rongjun Qin Andrew Feng Yajie Zhao
+ PDF Chat	Supercharging Federated Learning with Flower and NVIDIA FLARE	2024	Holger R. Roth Daniel J. Beutel Cheng Yan Javier Fernandez Marques Heng Pan Chester Chen Zhihong Zhang Yuhong Wen Sean Yang Isaac Isaac
+ PDF Chat	AtomGS: Atomizing Gaussian Splatting for High-Fidelity Radiance Field	2024	Rong Liu Rui Xu Yue Hu Meida Chen Andrew Feng
+ PDF Chat	Empowering Federated Learning for Massive Models with NVIDIA FLARE	2024	Holger R. Roth Ziyue Xu Yuan-Ting Hsieh Adithya Renduchintala Isaac Yang Zhihong Zhang Yuhong Wen Sean Yang Kevin N. Lu Kristopher Kersten
+ PDF Chat	Co-Speech Gesture Synthesis using Discrete Gesture Token Learning	2023	Shuhong Lu Youngwoo Yoon Andrew Feng
+ PDF Chat	Do Gradient Inversion Attacks Make Federated Learning Unsafe?	2023	Ali Hatamizadeh Hongxu Yin Pavlo Molchanov Andriy Myronenko Wenqi Li Prerna Dogra Andrew Feng Mona G. Flores Jan Kautz Daguang Xu
+	Co-Speech Gesture Synthesis using Discrete Gesture Token Learning	2023	Shuhong Lu Youngwoo Yoon Andrew Feng
+	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
+	Generative AI for Medical Imaging: extending the MONAI Framework	2023	Walter Hugo Lopez Pinaya Mark S. Graham Eric Kerfoot Petru-Daniel Tudosiu Jessica Dafflon Virginia Fernández Pedro Sanchez Julia Wolleb Pedro F. da Costa Ashay Patel
+	Instant Photorealistic Style Transfer: A Lightweight and Adaptive Approach	2023	Rong Liu Enyu Zhao Zhiyuan Liu Andrew Feng Scott John Easley
+	Do Gradient Inversion Attacks Make Federated Learning Unsafe?	2022	Ali Hatamizadeh Hongxu Yin Pavlo Molchanov Andriy Myronenko Wenqi Li Prerna Dogra Andrew Feng Mona G. Flores Jan Kautz Daguang Xu
+	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
+	STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset	2022	Meida Chen Qingyong Hu Thomas Hugues Andrew Feng Yu Hou Kyle McCullough Lúcio Soibelman
+ 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
+	NVIDIA FLARE: Federated Learning from Simulation to Real-World	2022	Holger R. Roth Yan Cheng Yuhong Wen Isaac Yang Ziyue Xu Yuan-Ting Hsieh Kristopher Kersten Ahmed Harouni Can Zhao Kevin Lü
+	MONAI: An open-source framework for deep learning in healthcare	2022	M. Jorge Cardoso Wenqi Li Richard Brown Nic Ma Eric Kerfoot Yiheng Wang Benjamin Murrey Andriy Myronenko Can Zhao Dong Yang
+	Ground material classification and for UAV-based photogrammetric 3D data A 2D-3D Hybrid Approach.	2021	Meida Chen Andrew Feng Yu Hou Kyle McCullough Pratusha Bhuvana Prasad Lúcio Soibelman
+	Ground material classification for UAV-based photogrammetric 3D data A 2D-3D Hybrid Approach	2021	Meida Chen Andrew Feng Yu Hou Kyle McCullough Pratusha Bhuvana Prasad Lúcio Soibelman
+	Generating synthetic photogrammetric data for training deep learning based 3D point cloud segmentation models.	2020	Meida Chen Andrew Feng Kyle McCullough Pratusha Bhuvana-Prasad Ryan McAlinden Lúcio Soibelman
+	Utilizing Satellite Imagery Datasets and Machine Learning Data Models to Evaluate Infrastructure Change in Undeveloped Regions	2020	Kyle McCullough Andrew Feng Meida Chen Ryan McAlinden
+	Utilizing Satellite Imagery Datasets and Machine Learning Data Models to Evaluate Infrastructure Change in Undeveloped Regions	2020	Kyle McCullough Andrew Feng Meida Chen Ryan McAlinden
+ PDF Chat	Utilizing Satellite Imagery Datasets and Machine Learning Data Models to Evaluate Infrastructure Change in Undeveloped Regions	2020	Kyle McCullough Andrew Feng Meida Chen Ryan McAlinden
+	Fully Automated Photogrammetric Data Segmentation and Object Information Extraction Approach for Creating Simulation Terrain	2020	Meida Chen Andrew Feng Kyle McCullough Pratusha Bhuvana Prasad Ryan McAlinden Lúcio Soibelman Mike Enloe
+	Generating synthetic photogrammetric data for training deep learning based 3D point cloud segmentation models	2020	Meida Chen Andrew Feng Kyle McCullough Pratusha Bhuvana Prasad Ryan McAlinden Lúcio Soibelman
+	Semantic Segmentation and Data Fusion of Microsoft Bing 3D Cities and Small UAV-based Photogrammetric Data	2020	Meida Chen Andrew Feng Kyle McCullough Pratusha Bhuvana Prasad Ryan McAlinden Lúcio Soibelman
+	Utilizing Satellite Imagery Datasets and Machine Learning Data Models to Evaluate Infrastructure Change in Undeveloped Regions	2020	Kyle McCullough Andrew Feng Meida Chen Ryan McAlinden
+	Privacy-preserving Federated Brain Tumour Segmentation	2019	Wenqi Li Fausto Milletarì Daguang Xu Nicola Rieke Jonny Hancox Wentao Zhu Maximilian Baust Yan Cheng Sébastien Ourselin M. Jorge Cardoso
+ PDF Chat	Privacy-Preserving Federated Brain Tumour Segmentation	2019	Wenqi Li Fausto Milletarì Daguang Xu Nicola Rieke Jonny Hancox Wentao Zhu Maximilian Baust Yan Cheng Sébastien Ourselin M. Jorge Cardoso
+ PDF Chat	Scalable Semantic Matching of Queries to Ads in Sponsored Search Advertising	2016	Mihajlo Grbovic Nemanja Djuric Vladan Radosavljević Fabrizio Silvestri Ricardo Baeza‐Yates Andrew Feng Erik Ordentlich Lee Yang Gavin Owens

Common Coauthors

Coauthor	Papers Together
Meida Chen	12
Daguang Xu	12
Kyle McCullough	11
Holger R. Roth	10
Ryan McAlinden	8
Lúcio Soibelman	7
Sébastien Ourselin	7
M. Jorge Cardoso	7
Wenqi Li	7
Prerna Dogra	7
Pratusha Bhuvana Prasad	5
Mona G. Flores	5
Ziyue Xu	4
Chester Chen	4
Tom Vercauteren	4
Andriy Myronenko	4
Isaac Yang	4
Vishwesh Nath	4
Sachidanand Alle	4
Andrés Diaz-Pinto	4
Richard Brown	3
Can Zhao	3
Zhihong Zhang	3
Nicola Rieke	3
Ali Hatamizadeh	3
Abood Quraini	3
Alvin Ihsani	3
Muhammad Asad	3
Yuan-Ting Hsieh	3
Steve Pieper	2
Yu Hou	2
Cheng Yan	2
Wentao Zhu	2
Csaba Pintér	2
Marc Modat	2
Maximilian Baust	2
Sean Yang	2
Shuhong Lu	2
Jan Kautz	2
Pavlo Molchanov	2
Fausto Milletarì	2
Dániel Palkovics	2
Jonny Hancox	2
Nic Ma	2
Youngwoo Yoon	2
Yan Cheng	2
Michela Antonelli	2
Kristopher Kersten	2
Yuhong Wen	2
Eric Kerfoot	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Understanding the sparse vector technique for differential privacy	2017	Min Lyu Dong Su Ninghui Li	3
+ PDF Chat	Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation	2019	Micah Sheller G. Anthony Reina Brandon Edwards Jason Martin Spyridon Bakas	3
+ PDF Chat	Deep Learning with Differential Privacy	2016	Martı́n Abadi Andy Chu Ian Goodfellow H. Brendan McMahan Ilya Mironov Kunal Talwar Li Zhang	3
+ PDF Chat	Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations	1988	Stanley Osher James A. Sethian	2
+ PDF Chat	Interactive Full Image Segmentation by Considering All Regions Jointly	2019	Eirikur Agustsson Jasper Uijlings Vittorio Ferrari	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ 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	2
+	Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge	2018	Spyridon Bakas Mauricio Reyes Enzo Battistella Siddhartha Chandra Huiguang He Lucas Fidon Maria Vakalopoulou Roger Sun et al. Éric Deutsch	2
+ 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	2
+ 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	2
+ PDF Chat	Deep Interactive Object Selection	2016	Ning Xu Brian Price Scott Cohen Shuicheng Yan Thomas S. Huang	2
+ PDF Chat	Revisiting Unreasonable Effectiveness of Data in Deep Learning Era	2017	Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta	2
+ PDF Chat	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	2016	Fausto Milletarì Nassir Navab Seyed‐Ahmad Ahmadi	2
+	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	2
+ PDF Chat	3D MRI Brain Tumor Segmentation Using Autoencoder Regularization	2019	Andriy Myronenko	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
+ 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	2
+ PDF Chat	P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification	2019	Bingzhe Wu Shiwan Zhao Guangyu Sun Xiaolu Zhang Zhong Su Caihong Zeng Zhihong Liu	1
+ PDF Chat	On the Continuity of Rotation Representations in Neural Networks	2019	Yi Zhou Connelly Barnes Jingwan Lu Shuicheng Yan Hao Li	1
+	On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization	2019	Hao Yu Rong Jin Sen Yang	1
+	Distributed Representations of Words and Phrases and their Compositionality	2013	Tomáš Mikolov Ilya Sutskever Kai Chen Greg S. Corrado Jay B. Dean	1
+	Deep Bayesian Active Learning with Image Data	2017	Yarin Gal Riashat Islam Zoubin Ghahramani	1
+ PDF Chat	OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields	2019	Zhe Cao Gines Hidalgo Tomas Simon Shih-En Wei Yaser Sheikh	1
+ PDF Chat	Learning Individual Styles of Conversational Gesture	2019	Shiry Ginosar Amir Bar Gefen Kohavi Caroline Chan Andrew Owens Jitendra Malik	1
+	Large-Scale Point Cloud Semantic Segmentation with Superpoint Graphs	2018	Loïc Landrieu Martin Simonovsky	1
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	1
+	Neural Discrete Representation Learning	2017	Aäron van den Oord Oriol Vinyals Koray Kavukcuoglu	1
+ PDF Chat	Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning	2019	Zhibo Wang Mengkai Song Zhifei Zhang Yang Song Qian Wang Hairong Qi	1
+ PDF Chat	Robots Learn Social Skills: End-to-End Learning of Co-Speech Gesture Generation for Humanoid Robots	2019	Youngwoo Yoon Woo-Ri Ko Minsu Jang Jaeyeon Lee Jaehong Kim Geehyuk Lee	1
+	Generating Diverse High-Fidelity Images with VQ-VAE-2	2019	Ali Razavi Aäron van den Oord Oriol Vinyals	1
+ PDF Chat	Expressive Body Capture: 3D Hands, Face, and Body From a Single Image	2019	Georgios Pavlakos Vasileios Choutas Nima Ghorbani Timo Bolkart Ahmed A. A. Osman Dimitrios Tzionas Michael J. Black	1
+ PDF Chat	Privacy-Preserving Federated Brain Tumour Segmentation	2019	Wenqi Li Fausto Milletarì Daguang Xu Nicola Rieke Jonny Hancox Wentao Zhu Maximilian Baust Yan Cheng Sébastien Ourselin M. Jorge Cardoso	1
+ PDF Chat	Language2Pose: Natural Language Grounded Pose Forecasting	2019	Chaitanya Ahuja Louis–Philippe Morency	1
+	SCAFFOLD: Stochastic Controlled Averaging for Federated Learning	2019	Sai Praneeth Karimireddy Satyen Kale Mehryar Mohri Sashank J. Reddi Sebastian U. Stich Ananda Theertha Suresh	1
+	Systematic Evaluation of Privacy Risks of Machine Learning Models	2020	Liwei Song Prateek Mittal	1
+ PDF Chat	Can AI Help in Screening Viral and COVID-19 Pneumonia?	2020	Muhammad E. H. Chowdhury Tawsifur Rahman Amith Khandakar Rashid Mazhar Muhammad Abdul Kadir Zaid Bin Mahbub Khandaker Reajul Islam Muhammad Salman Khan Atif Iqbal Nasser Al Emadi	1
+ PDF Chat	Kornia: an Open Source Differentiable Computer Vision Library for PyTorch	2020	Edgar Riba Dmytro Mishkin Daniel Ponsa Ethan Rublee Gary Bradski	1
+ PDF Chat	Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion	2020	Hongxu Yin Pavlo Molchanov Jose M. Álvarez Zhizhong Li Arun Mallya Derek Hoiem Niraj K. Jha Jan Kautz	1
+	Federated Optimization in Heterogeneous Networks	2018	Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith	1
+	Fully Automated Photogrammetric Data Segmentation and Object Information Extraction Approach for Creating Simulation Terrain	2020	Meida Chen Andrew Feng Kyle McCullough Pratusha Bhuvana Prasad Ryan McAlinden Lúcio Soibelman Mike Enloe	1
+	Local Differential Privacy and Its Applications: A Comprehensive Survey	2020	Mengmeng Yang Lingjuan Lyu Jun Zhao Tianqing Zhu Kwok‐Yan Lam	1
+	Generating synthetic photogrammetric data for training deep learning based 3D point cloud segmentation models	2020	Meida Chen Andrew Feng Kyle McCullough Pratusha Bhuvana Prasad Ryan McAlinden Lúcio Soibelman	1
+ PDF Chat	The future of digital health with federated learning	2020	Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletarì Holger R. Roth Shadi Albarqouni Spyridon Bakas Mathieu Galtier Bennett A. Landman Klaus H. Maier‐Hein	1
+ PDF Chat	Siloed Federated Learning for Multi-centric Histopathology Datasets	2020	Mathieu Andreux Jean Ogier du Terrail Constance Béguier Eric W. Tramel	1
+ PDF Chat	Federated Learning for Breast Density Classification: A Real-World Implementation	2020	Holger R. Roth Ken Chang Praveer Singh Nir Neumark Wenqi Li Vikash Gupta Sharut Gupta Liangqiong Qu Alvin Ihsani Bernardo C. Bizzo	1
+ PDF Chat	ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases	2017	Xiaosong Wang Yifan Peng Le Lü Zhiyong Lu Mohammadhadi Bagheri Ronald M. Summers	1
+ 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	1
+ PDF Chat	FedBN: Federated Learning on Non-IID Features via Local Batch Normalization	2021	Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou	1
+	VideoGPT: Video Generation using VQ-VAE and Transformers	2021	Wilson Yan Yunzhi Zhang Pieter Abbeel Aravind Srinivas	1
+	A Large, Crowdsourced Evaluation of Gesture Generation Systems on Common Data: The GENEA Challenge 2020	2021	Taras Kucherenko Patrik Jonell Youngwoo Yoon Pieter Wolfert Gustav Eje Henter	1