IIT Publications Search

Doria S., Valeri F., Lasagni L., Sanguineti V., Ragonesi R., Akbar M.U., Gnerucci A., Del Bue A., Marconi A., Risaliti G., Grigioni M., Miele V., Sona D., 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., 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., Murino V., Sona D.
Multimodal Segmentation of Medical Images with Heavily Missing Data
IEEE EMBS International Conference on Biomedical and Health Informatics
DOI 10.1109/BHI50953.2021.9508609 Conference Paper Conference
Akbar M.U., Yamin M.A., Murino V., Sona D.
Organ Segmentation with Recursive Data Augmentation for Deep Models
Lecture Notes in Computer Science, vol. 12661 LNCS, pp. 337-343
DOI 10.1007/978-3-030-68763-2_25 Conference Paper Book Series
Yamin M.A., Tessadori J., Akbar M.U., Dayan M., Murino V., Sona D.
Geodesic Clustering of Positive Definite Matrices for Classification of Mental Disorder Using Brain Functional Connectivity
Proceedings of the International Joint Conference on Neural Networks
Akbar M.U., Aslani S., Murino V., Sona D.
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., Murino V., Sona D.
Segmentation of Kidney and Tumor using Auxiliary Information
University of Minnesota Digital Conservancy