|Artificial intelligence & tissue biomarkers: advantages, risks and perspectives for pathology|
C Lancellotti, P Cancian, V Savevski, SRR Kotha, F Fraggetta, P Graziano, ...
Cells 10 (4), 787, 2021
|Generative adversarial networks in brain imaging: A narrative review|
ME Laino, P Cancian, LS Politi, MG Della Porta, L Saba, V Savevski
Journal of Imaging 8 (4), 83, 2022
|An embedded Gabor-based palm vein recognition system|
P Cancian, GW Di Donato, V Rana, MD Santambrogio
2017 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2017
|The applications of artificial intelligence in chest imaging of COVID-19 patients: a literature review|
ME Laino, A Ammirabile, A Posa, P Cancian, S Shalaby, V Savevski, ...
Diagnostics 11 (8), 1317, 2021
|A machine learning risk model based on preoperative computed tomography scan to predict postoperative outcomes after pancreatoduodenectomy|
G Capretti, C Bonifacio, C De Palma, M Nebbia, C Giannitto, P Cancian, ...
Updates in Surgery, 1-9, 2022
|Volume-of-interest aware deep neural networks for rapid chest CT-based COVID-19 patient risk assessment|
A Chatzitofis, P Cancian, V Gkitsas, A Carlucci, P Stalidis, G Albanis, ...
International Journal of Environmental Research and Public Health 18 (6), 2842, 2021
|FPGA-based muscle synergy extraction for surface EMG gesture classification|
G Franco, P Cancian, L Cerina, E Besana, N Beretta, MD Santambrogio
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2017
|Development of a Deep-Learning Pipeline to Recognize and Characterize Macrophages in Colo-Rectal Liver Metastasis|
P Cancian, N Cortese, M Donadon, M Di Maio, C Soldani, F Marchesi, ...
Cancers 13 (13), 3313, 2021
|A hardware acceleration for surface EMG non-negative matrix factorization|
L Cerina, P Cancian, G Franco, MD Santambrogio
2017 IEEE International Parallel and Distributed Processing Symposium …, 2017
|Robustness of surface emg classifiers with fixed-point decomposition on reconfigurable architecture|
L Cerina, G Franco, P Cancian, MD Santambrogio
2018 IEEE International Parallel and Distributed Processing Symposium …, 2018
|A machine learning risk model based on preoperative CT scan to predict postoperative outcome after pancreatoduodenectomy: A pilot study|
M Nebbia, GL Capretti, C Bonifacio, C Giannitto, C De Palma, P Cancian, ...
Pancreatology 21, S95, 2021
|Automatic segmentation of tumor-activated macrophages in patients affected by colorectal liver metastases|
Politecnico di Milano, 2018
|PROCEEDINGS-2017 IEEE 31ST INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS, IPDPSW 2017|
L Zaourar, MA Aba, D Briand, JM Philippe, L Cerina, P Cancian, G Franco, ...
Power 964, 973, 2017