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2020 – today
- 2023
[j3]Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng:
NVIDIA FLARE: Federated Learning from Simulation to Real-World. IEEE Data Eng. Bull. 46(1): 170-184 (2023)- [j2]Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li
, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth:
Do Gradient Inversion Attacks Make Federated Learning Unsafe? IEEE Trans. Medical Imaging 42(7): 2044-2056 (2023) - [c10]Andrew S. Gordon, Andrew Feng:
Searching for the Most Probable Combination of Class Labels Using Etcetera Abduction. CISS 2023: 1-6 - [i15]Shuhong Lu, Youngwoo Yoon, Andrew Feng:
Co-Speech Gesture Synthesis using Discrete Gesture Token Learning. CoRR abs/2303.12822 (2023) - [i14]Andres Diaz-Pinto, Pritesh Mehta, Sachidanand Alle, Muhammad Asad, Richard Brown, Vishwesh Nath, Alvin Ihsani, Michela Antonelli, Daniel Palkovics, Csaba Pinter, Ron Alkalay, Steve Pieper, Holger R. Roth, Daguang Xu, Prerna Dogra, Tom Vercauteren, Andrew Feng, Abood Quraini, Sébastien Ourselin, M. Jorge Cardoso:
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. CoRR abs/2305.10655 (2023) - [i13]Walter H. L. Pinaya, Mark S. Graham, Eric Kerfoot, Petru-Daniel Tudosiu, Jessica Dafflon, Virginia Fernandez, Pedro Sanchez, Julia Wolleb, Pedro F. Da Costa, Ashay Patel, Hyungjin Chung, Can Zhao, Wei Peng, Zelong Liu, XueYan Mei, Oeslle Lucena, Jong Chul Ye, Sotirios A. Tsaftaris, Prerna Dogra, Andrew Feng, Marc Modat, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Generative AI for Medical Imaging: extending the MONAI Framework. CoRR abs/2307.15208 (2023) - 2022
- [c9]Meida Chen, Qingyong Hu, Zifan Yu, Hugues Thomas, Andrew Feng, Yu Hou, Kyle McCullough, Fengbo Ren, Lucio Soibelman:
STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset. BMVC 2022: 429 - [c8]Shuhong Lu, Andrew Feng:
The DeepMotion entry to the GENEA Challenge 2022. ICMI 2022: 790-796 - [c7]Andres Diaz-Pinto, Pritesh Mehta, Sachidanand Alle, Muhammad Asad, Richard Brown, Vishwesh Nath, Alvin Ihsani, Michela Antonelli, Daniel Palkovics, Csaba Pinter, Ron Alkalay, Steve Pieper, Holger R. Roth, Daguang Xu, Prerna Dogra, Tom Vercauteren, Andrew Feng, Abood Quraini, Sébastien Ourselin, M. Jorge Cardoso:
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. DALI@MICCAI 2022: 11-21 - [c6]Andrew Feng, Samuel Shin, Youngwoo Yoon:
A Tool for Extracting 3D Avatar-Ready Gesture Animations from Monocular Videos. MIG 2022: 7:1-7:7 - [i12]Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth:
Do Gradient Inversion Attacks Make Federated Learning Unsafe? CoRR abs/2202.06924 (2022) - [i11]Meida Chen, Qingyong Hu, Hugues Thomas, Andrew Feng, Yu Hou, Kyle McCullough, Lucio Soibelman:
STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset. CoRR abs/2203.09065 (2022) - [i10]Andres Diaz-Pinto, Sachidanand Alle, Alvin Ihsani, Muhammad Asad, Vishwesh Nath, Fernando Pérez-García, Pritesh Mehta, Wenqi Li, Holger R. Roth, Tom Vercauteren, Daguang Xu, Prerna Dogra, Sébastien Ourselin, Andrew Feng, M. Jorge Cardoso:
MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images. CoRR abs/2203.12362 (2022) - [i9]Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng:
NVIDIA FLARE: Federated Learning from Simulation to Real-World. CoRR abs/2210.13291 (2022) - [i8]M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans J. Johnson, Brad W. Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin S. Kirby, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen R. Aylward, Prerna Dogra, Sébastien Ourselin, Andrew Feng:
MONAI: An open-source framework for deep learning in healthcare. CoRR abs/2211.02701 (2022) - 2021
- [i7]Meida Chen, Andrew Feng, Yu Hou, Kyle McCullough, Pratusha Bhuvana Prasad, Lucio Soibelman:
Ground material classification and for UAV-based photogrammetric 3D data A 2D-3D Hybrid Approach. CoRR abs/2109.12221 (2021) - 2020
- [j1]Meida Chen, Andrew Feng, Kyle McCullough, Pratusha Bhuvana Prasad, Ryan McAlinden, Lucio Soibelman:
3D Photogrammetry Point Cloud Segmentation Using a Model Ensembling Framework. J. Comput. Civ. Eng. 34(6) (2020) - [c5]Andrew Feng, Andrew S. Gordon:
Recognizing Multiplayer Behaviors Using Synthetic Training Data. CoG 2020: 463-470 - [i6]Meida Chen, Andrew Feng, Kyle McCullough, Pratusha Bhuvana Prasad, Ryan McAlinden, Lucio Soibelman, Mike Enloe:
Fully Automated Photogrammetric Data Segmentation and Object Information Extraction Approach for Creating Simulation Terrain. CoRR abs/2008.03697 (2020) - [i5]Meida Chen, Andrew Feng, Kyle McCullough, Pratusha Bhuvana Prasad, Ryan McAlinden, Lucio Soibelman:
Generating synthetic photogrammetric data for training deep learning based 3D point cloud segmentation models. CoRR abs/2008.09647 (2020) - [i4]Meida Chen, Andrew Feng, Kyle McCullough, Pratusha Bhuvana Prasad, Ryan McAlinden, Lucio Soibelman:
Semantic Segmentation and Data Fusion of Microsoft Bing 3D Cities and Small UAV-based Photogrammetric Data. CoRR abs/2008.09648 (2020) - [i3]Kyle McCullough, Andrew Feng, Meida Chen, Ryan McAlinden:
Utilizing Satellite Imagery Datasets and Machine Learning Data Models to Evaluate Infrastructure Change in Undeveloped Regions. CoRR abs/2009.00185 (2020)
2010 – 2019
- 2019
- [c4]Andrew Feng, Andrew S. Gordon:
Latent Terrain Representations for Trajectory Prediction. MOVE++@SIGSPATIAL 2019: 4:1-4:4 - [c3]Wenqi Li, Fausto Milletarì, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M. Jorge Cardoso, Andrew Feng:
Privacy-Preserving Federated Brain Tumour Segmentation. MLMI@MICCAI 2019: 133-141 - [i2]Wenqi Li, Fausto Milletari, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M. Jorge Cardoso, Andrew Feng:
Privacy-preserving Federated Brain Tumour Segmentation. CoRR abs/1910.00962 (2019) - 2016
- [c2]Firas Abuzaid, Joseph K. Bradley, Feynman T. Liang, Andrew Feng, Lee Yang, Matei Zaharia, Ameet Talwalkar:
Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale. NIPS 2016: 3810-3818 - [c1]Mihajlo Grbovic, Nemanja Djuric, Vladan Radosavljevic, Fabrizio Silvestri, Ricardo Baeza-Yates, Andrew Feng, Erik Ordentlich, Lee Yang, Gavin Owens:
Scalable Semantic Matching of Queries to Ads in Sponsored Search Advertising. SIGIR 2016: 375-384 - [i1]Mihajlo Grbovic, Nemanja Djuric, Vladan Radosavljevic, Fabrizio Silvestri, Ricardo Baeza-Yates, Andrew Feng, Erik Ordentlich, Lee Yang, Gavin Owens:
Scalable Semantic Matching of Queries to Ads in Sponsored Search Advertising. CoRR abs/1607.01869 (2016)
Coauthor Index
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last updated on 2023-09-08 10:07 CEST by the dblp team
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