Muhammad Usman Akbar

PhD Student

Research Lines



PAVIS, IIT, 8th Floor, Tower B, GREAT Campus, Erzelli - Via Enrico Melen, 83, 16152 Genova GE, Italy.


Machine Learning Deep Learning Bio-medical Imaging

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.

    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.

    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

    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

    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

    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

    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

    Segmentation of Kidney and Tumor using Auxiliary Information

    University of Minnesota Digital Conservancy