Mr. Aditya Killekar Profile

Aditya Killekar

Research Software Engineer

SPIE Involvement:

Author

Area of Expertise:

Computer Vision , Machine Learning , Cardiac Imaging

Publications (8)

Proceedings Article | 2 April 2024 Presentation + Paper

Deep learning-based epicardial adipose tissue measurement, maximizing prognostic information from attenuation correction imaging

Aakash Shanbhag, Robert J. Miller, Aditya Killekar, Mark Lemley, Bryan Bednarski, Serge Van Kriekinge, Paul Kavanagh, Attila Feher, Edward Miller, Timothy Bateman, Joanna Liang, Valerie Builoff, Daniel Berman, Damini Dey, Piotr Slomka

Proceedings Volume 12930, 129300B (2024) https://doi.org/10.1117/12.3007914

KEYWORDS: Computed tomography, Deep learning, Adipose tissue, Chest, Medicine, Education and training, Attenuation correction, Attenuation, Signal attenuation

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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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Proceedings Article | 3 April 2023 Poster + Paper

Pseudo-contrast cardiac CT angiography derived from non-contrast CT using conditional generative adversarial networks

Aditya Killekar, Jacek Kwiecinski, Mariusz Kruk, Cezary Kepka, Aakash Shanbhag, Damini Dey, Piotr Slomka

Proceedings Volume 12464, 124643F (2023) https://doi.org/10.1117/12.2654592

KEYWORDS: Heart, Education and training, Gallium nitride, Computed tomography, Angiography, Biomedical applications, Cardiovascular disorders, Arteries, Ablation, Medical imaging, Deep learning

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Proceedings Article | 3 April 2023 Presentation + Paper

Comparative analysis between convolutional long short-term memory networks and vision transformers for coronary calcium scoring in non-contrast CT

Aakash D. Shanbhag, Konrad Pieszko, Robert J.H. Miller, Aditya Killekar, Waechter Parker, Heidi Gransar, Michelle Williams, Daniel Berman, Damini Dey, Piotr Slomka

Proceedings Volume 12464, 124640D (2023) https://doi.org/10.1117/12.2655397

KEYWORDS: Transformers, Calcium, Education and training, Arteries, Computed tomography, Medical imaging, Image segmentation, Deep learning, Medicine, Matrices

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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

Calcium scoring in low-dose ungated chest CT scans using convolutional long-short term memory networks

K. Pieszko, A. Shanbhag, A. Killekar, M. Lemley, Y. Otaki, Serge Van Kriekinge, Paul Kavanagh, Robert J. H. Miller, Edward Miller, Tim Bateman, D. Dey, D. Berman, P. Slomka

Proceedings Volume 12032, 120323A (2022) https://doi.org/10.1117/12.2613147

KEYWORDS: Calcium, Computed tomography, Arteries, Positron emission tomography, Signal attenuation, Heart, Data modeling, Chest, Medicine, Data centers

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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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Showing 5 of 8 publications

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