Muhammad Usman Akbar

IIT Publications

• 2021
• Doria S., Valeri F., Lasagni L., Sanguineti V.^iit, Ragonesi R.^iit, Akbar M.U.^iit, Gnerucci A., Del Bue A.^iit, Marconi A., Risaliti G., Grigioni M., Miele V., Sona D.^iit, Cisbani E., Gori C., Taddeucci A.
  DOI

  Addressing signal alterations induced in CT images by deep learning processing: A preliminary phantom study

  Physica Medica, vol. 83, pp. 88-100
• Soda P., Natascha C., Jacopo T., Giovanni V., Valerio G., Chandra B., Muhammad Usman A.^iit, Rosa S., Ermanno C., et al.
  DOI

  AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study

  Medical Image Analysis, vol. 74
• Akbar M.U.^iit, Murino V., Sona D.^iit
  DOI

  Multimodal Segmentation of Medical Images with Heavily Missing Data

  IEEE EMBS International Conference on Biomedical and Health Informatics
• Akbar M.U.^iit, Yamin M.A.^iit, Murino V.^iit, Sona D.^iit
  DOI

  Organ Segmentation with Recursive Data Augmentation for Deep Models

  Lecture Notes in Computer Science, vol. 12661 LNCS, pp. 337-343
• 2020
• Yamin M.A.^iit, Tessadori J.^iit, Akbar M.U.^iit, Dayan M., Murino V.^iit, Sona D.^iit
  DOI

  Geodesic Clustering of Positive Definite Matrices for Classification of Mental Disorder Using Brain Functional Connectivity

  Proceedings of the International Joint Conference on Neural Networks
• 2019
• Akbar M.U.^iit, Aslani S.^iit, Murino V.^iit, Sona D.^iit
  DOI

  Multiple organs segmentation in abdomen CT scans using a cascade of CNNs

  Lecture Notes in Computer Science, vol. 11751 LNCS, pp. 509-516
• Akbar M.U.^iit, Murino V.^iit, Sona D.^iit
  DOI

  Segmentation of Kidney and Tumor using Auxiliary Information

  University of Minnesota Digital Conservancy