Aditya Killekar

According to our database, Aditya Killekar authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging.

Robert J. H. Miller, Aakash D. Shanbhag, Aditya Killekar, Mark Lemley, Bryan P. Bednarski, Serge D. Van Kriekinge, Paul Kavanagh, Attila Feher, Edward J. Miller, Andrew J. Einstein, Terrence D. Ruddy, Joanna X. Liang, Valerie Builoff, Daniel S. Berman, Damini Dey, Piotr J. Slomka

npj Digit. Medicine, 2024

2023

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 S. Berman, Damini Dey, Piotr J. Slomka

Proceedings of the Medical Imaging 2023: Image Processing, 2023

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, 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, Michelle C. Williams, Piotr J. Slomka, Damini Dey

Proceedings of the Medical Imaging 2023: Image Processing, 2023

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

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

Proceedings of the Medical Imaging 2023: Image Processing, 2023

2022

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

Konrad Pieszko, Aakash D. Shanbhag, Aditya Killekar, Mark Lemley, Yuka Otaki, Serge D. Van Kriekinge, Paul Kavanagh, Robert J. H. Miller, Edward J. Miller, Timothy M. Bateman, Damini Dey, Daniel S. Berman, Piotr J. Slomka

Proceedings of the Medical Imaging 2022: Image Processing, 2022

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 D. 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 J. Slomka

Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021

Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks.

Kajetan Grodecki, Aditya Killekar, Andrew Lin, Sebastien Cadet, Priscilla McElhinney, Aryabod Razipour, Cato Chan, Barry D. Pressman, Peter Julien, Judit Simon, Pál 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 J. Slomka

CoRR, 2021

2020

Two-Branch Recurrent Network for Isolating Deepfakes in Videos.

Iacopo Masi, Aditya Killekar, Royston Marian Mascarenhas, Shenoy Pratik Gurudatt, Wael AbdAlmageed

Proceedings of the Computer Vision - ECCV 2020, 2020