Muhammad Usman Akbar

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

3487622058

Machine Learning Deep Learning Bio-medical Imaging

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
Akbar M.U.^iit, Murino V., Sona D.

Multimodal Segmentation of Medical Images with Heavily Missing Data

IEEE International Conference on Biomedical and Health Informatics (BHI'21)
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

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