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Priscilla McElhinney
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2020 – today
- 2023
- [c2]Nipun Manral, Andrew Lin
, Caroline Park, Priscilla McElhinney, Aditya Killekar, Hidenari Matsumoto, Jacek Kwiecinski, Konrad Pieszko, Aryabod Razipour, Kajetan Grodecki, Mhairi Doris, Alan C. Kwan, Donghee Han, Keiichiro Kuronuma, Guadalupe Flores Tomasino, Evangelos Tzolos, Aakash D. Shanbhag, Markus Goeller, Mohamed Marwan, Sebastien Cadet, Stephen Achenbach, Stephen J. Nicholls, Dennis T. Wong, Daniel S. Berman, Marc R. Dweck, David E. Newby
Direct head-to-head comparison of convolutional long short-term memory and transformer networks for artificial Intelligence-based quantification of atherosclerotic plaque and stenosis from coronary CT angiography. Medical Imaging: Image Processing 2023 - 2022
- [c1]Aditya Killekar, Kajetan Grodecki, Andrew Lin
COVID-19 lesion segmentation using convolutional LSTM for self-attention. Medical Imaging: Image Processing 2022 - 2021
- [i1]Kajetan Grodecki, Aditya Killekar, Andrew Lin
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks. CoRR abs/2104.00138 (2021)
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last updated on 2024-04-25 05:42 CEST by the dblp team
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