Mr. Sebastien Cadet Profile

Sebastien Cadet

at Cedars-Sinai Medical Ctr

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Author

Publications (5)

Proceedings Article | 3 April 2023 Presentation + Paper

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

Nipun Manral, Andrew Lin, Caroline Park, Priscilla McElhinney, Aditya Killekar, Matsumoto Hidenari, Jacek Kwiecinski, Konrad Pieszko, Aryabod Razipour, Kajetan Grodecki, Mhairi Doris, Alan Kwan, Donghee Han, Keiichiro Kuronuma, Guadalupe Flores Tomasino, Evangelos Tzolos, Aakash Shanbhag, Markus Goeller, Mohamed Marwan, Sebastien Cadet, Stephen Achenbach, Stephen Nicholls, Dennis Wong, Daniel Berman, Marc Dweck, David Newby, Michelle Williams, Piotr Slomka, Damini Dey

Proceedings Volume 12464, 1246413 (2023) https://doi.org/10.1117/12.2655556

KEYWORDS: Transformers, Heart, Education and training, Computed tomography, Atherosclerosis, Angiography, Network architectures, Deep learning, Medicine, Medical research

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SPIE Journal Paper | 6 September 2022 Open Access

Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networks

Aditya Killekar, Kajetan Grodecki, Andrew Lin, Sebastien Cadet, Priscilla McElhinney, Aryabod Razipour, Cato Chan, Barry Pressman, Peter Julien, Peter Chen, Judit Simon, Pal Maurovich-Horvat, Nicola Gaibazzi, Udit Thakur, Elisabetta Mancini, Cecilia Agalbato, Jiro Munechika, Hidenari Matsumoto, Roberto Menè, Gianfranco Parati, Franco Cernigliaro, Nitesh Nerlekar, Camilla Torlasco, Gianluca Pontone, Damini Dey, Piotr Slomka

JMI, Vol. 9, Issue 05, 054001, (September 2022) https://doi.org/10.1117/12.10.1117/1.JMI.9.5.054001

KEYWORDS: Computed tomography, Lung, Opacity, Image segmentation, Control systems, Data modeling, Chest, Performance modeling, Diagnostics, Binary data

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Proceedings Article | 4 April 2022 Poster + Paper

Artificial Intelligence-based quantification of atherosclerotic plaque and stenosis from coronary computed tomography angiography using a novel method

Andrew Lin, Nipun Manral, Priscilla McElhinney, Aditya Killekar, Hidenari Matsumoto, Jacek Kwiecinski, Konrad Pieszko, Aryabod Razipour, Kajetan Grodecki, Caroline Park, Mhairi Doris, Alan Kwan, Donghee Han, Keiichiro Kuronama, Guadalupe Flores Tomasino, Evangelos Tzolos, Aakash Shanbhag, Markus Goeller, Mohamed Marwan, Sebastien Cadet, Stephan Achenbach, Stephen Nicholls, Dennis Wong, Daniel Berman, Marc Dweck, David Newby, Michelle Williams, Piotr Slomka, Damini Dey

Proceedings Volume 12031, 120312W (2022) https://doi.org/10.1117/12.2613244

KEYWORDS: Computed tomography, Angiography, Heart, Artificial intelligence, Medicine, Medical research, Network architectures, Image segmentation

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Proceedings Article | 4 April 2022 Poster + Paper

COVID-19 lesion segmentation using convolutional LSTM for self-attention

Aditya Killekar, Kajetan Grodecki, Andrew Lin, Sebastien Cadet, Priscilla McElhinney, Aryabod Razipour, Cato Chan, Barry Pressman, Peter Julien, Peter Chen, Judit Simon, Nitesh Nerlekar, Pál Maurovich-Horvat, Nicola Gaibazzi, Udit Thakur, Elisabetta Mancini, Cecilia Agalbato, Jiro Munechika, Hidenari Matsumoto, Roberto Menè, Damini Dey, Gianfranco Parati, Franco Cernigliaro, Camilla Torlasco, Gianluca Pontone, Piotr Slomka

Proceedings Volume 12032, 120323P (2022) https://doi.org/10.1117/12.2613272

KEYWORDS: Machine learning, Image segmentation, Lung, Computed tomography, Artificial intelligence, Medical imaging

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Proceedings Article | 15 March 2019 Paper

Deep learning-based stenosis quantification from coronary CT angiography

Youngtaek Hong, Frederic Commandeur, Sebastien Cadet, Markus Goeller, Mhairi Doris, Xi Chen, Jacek Kwiecinski, Daniel Berman, Piotr Slomka, Hyuk-Jae Chang, Damini Dey

Proceedings Volume 10949, 109492I (2019) https://doi.org/10.1117/12.2512168

KEYWORDS: Computed tomography, Image segmentation, Angiography, Arteries, Statistical analysis, Medicine, Convolutional neural networks, Neuroimaging, Brain, Cardiology

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