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. COVID-19 lesion segmentation using convolutional LSTM for self-attention. In Olivier Colliot, Ivana Isgum, Bennett A. Landman, Murray H. Loew, editors, Medical Imaging 2022: Image Processing, San Diego, CA, USA, February 20-24, 2022 / Online, March 21-27, 2022. Volume 12032 of SPIE Proceedings, SPIE, 2022. [doi]

@inproceedings{KillekarGLCMRCP22,
  title = {COVID-19 lesion segmentation using convolutional LSTM for self-attention},
  author = {Aditya Killekar and Kajetan Grodecki and Andrew Lin and Sebastien Cadet and Priscilla McElhinney and Aryabod Razipour and Cato Chan and Barry D. Pressman and Peter Julien and Peter Chen and Judit Simon and Nitesh Nerlekar and Pál Maurovich-Horvat and Nicola Gaibazzi and Udit Thakur and Elisabetta Mancini and Cecilia Agalbato and Jiro Munechika and Hidenari Matsumoto and Roberto Menè and Damini Dey and Gianfranco Parati and Franco Cernigliaro and Camilla Torlasco and Gianluca Pontone and Piotr J. Slomka},
  year = {2022},
  doi = {10.1117/12.2613272},
  url = {https://doi.org/10.1117/12.2613272},
  researchr = {https://researchr.org/publication/KillekarGLCMRCP22},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2022: Image Processing, San Diego, CA, USA, February 20-24, 2022 / Online, March 21-27, 2022},
  editor = {Olivier Colliot and Ivana Isgum and Bennett A. Landman and Murray H. Loew},
  volume = {12032},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781510649408},
}