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Jeremy Green
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2020 – today
- 2022
- [i4]Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Amit Gupta, Dimitris Samaras, Prateek Prasanna:
Lung Swapping Autoencoder: Learning a Disentangled Structure-texture Representation of Chest Radiographs. CoRR abs/2201.07344 (2022) - 2021
- [c10]Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Dimitris Samaras, Prateek Prasanna:
Chest Radiograph Disentanglement for COVID-19 Outcome Prediction. MICCAI (7) 2021: 345-355 - [c9]Sudhir Suman, Gagandeep Singh, Nicole Sakla, Rishabh Gattu, Jeremy Green, Tej Phatak, Dimitris Samaras, Prateek Prasanna:
Attention Based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms. MICCAI (7) 2021: 356-366 - [c8]Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Prateek Prasanna:
Attention-Based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction. MICCAI (5) 2021: 824-833 - [c7]Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Amit Gupta, Chao Chen, Joel H. Saltz, Prateek Prasanna:
Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network. MIDL 2021: 384-398 - [i3]Sudhir Suman, Gagandeep Singh, Nicole Sakla, Rishabh Gattu, Jeremy Green, Tej Phatak, Dimitris Samaras, Prateek Prasanna:
Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms. CoRR abs/2107.06276 (2021) - [i2]Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Prateek Prasanna:
Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction. CoRR abs/2107.08330 (2021) - 2020
- [i1]Joseph Bae, Saarthak Kapse, Gagandeep Singh, Tej Phatak, Jeremy Green, Nikhil Madan, Prateek Prasanna:
Predicting Mechanical Ventilation Requirement and Mortality in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study. CoRR abs/2007.08028 (2020)
2010 – 2019
- 2016
- [j3]Paul Bourke, Jeremy Green:
Keeping it Real: Creating and Acquiring Assets for Serious Games. Comput. Games J. 5(1-2): 7-22 (2016) - [c6]Julie R. Williamson, John Williamson, Vassilis Kostakos, Keith Hamilton, Jeremy Green:
Mobile Phone Usage Cycles: A Torus Topology for Spherical Visualisation. CHI Extended Abstracts 2016: 2751-2757 - 2013
- [j2]Simukai W. Utete, Jeremy Green, Ashley Liddiard, Chris R. Burger:
Robotics and Automation Activities in South Africa [Industrial Activities]. IEEE Robotics Autom. Mag. 20(3): 16-18 (2013) - [c5]Ruth Teleka, Jeremy Green, John Dickens:
CSIR center for mining innovation and the simulated test stope. AFRICON 2013: 1-6 - 2012
- [c4]Taylor T. Johnson, Jeremy Green, Sayan Mitra, Rachel F. Dudley, Richard Scott Erwin:
Satellite Rendezvous and Conjunction Avoidance: Case Studies in Verification of Nonlinear Hybrid Systems. FM 2012: 252-266 - [c3]Jeremy Green:
Underground mining robot: A CSIR project. SSRR 2012: 1-6 - 2011
- [c2]Jeremy Green, Stephen Plumb:
Mobile robot competition. AFRICON 2011: 1-6
2000 – 2009
- 2007
- [c1]Michael Olsberg, Yi Xu, Jeremy Green:
Dependence of tone perception on syllable perception. INTERSPEECH 2007: 2649-2652 - 2002
- [j1]Peter McBurney, Simon Parsons, Jeremy Green:
Forecasting market demand for new telecommunications services: an introduction. Telematics Informatics 19(3): 225-249 (2002)
Coauthor Index
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