Maria Colomba Comes
Citata da
Citata da
Combining weighted total variation and deep image prior for natural and medical image restoration via ADMM
P Cascarano, A Sebastiani, MC Comes, G Franchini, F Porta
2021 21st International Conference on Computational Science and Itsá…, 2021
Radiomic feature reduction approach to predict breast cancer by contrast-enhanced spectral mammography images
R Massafra, S Bove, V Lorusso, A Biafora, MC Comes, V Didonna, ...
Diagnostics 11 (4), 684, 2021
Discovering the hidden messages within cell trajectories using a deep learning approach for in vitro evaluation of cancer drug treatments
A Mencattini, D Di Giuseppe, MC Comes, P Casti, F Corsi, FR Bertani, ...
Scientific reports 10 (1), 7653, 2020
Early prediction of neoadjuvant chemotherapy response by exploiting a transfer learning approach on breast DCE-MRIs
MC Comes, A Fanizzi, S Bove, V Didonna, S Diotaiuti, D La Forgia, ...
Scientific Reports 11 (1), 14123, 2021
The influence of spatial and temporal resolutions on the analysis of cell-cell interaction: a systematic study for time-lapse microscopy applications
MC Comes, P Casti, A Mencattini, D Di Giuseppe, F Mermet-Meillon, ...
Scientific reports 9 (1), 6789, 2019
Early prediction of breast cancer recurrence for patients treated with neoadjuvant chemotherapy: a transfer learning approach on DCE-MRIs
MC Comes, D La Forgia, V Didonna, A Fanizzi, F Giotta, A Latorre, ...
Cancers 13 (10), 2298, 2021
Learning cancer-related drug efficacy exploiting consensus in coordinated motility within cell clusters
D Di Giuseppe, F Corsi, A Mencattini, MC Comes, P Casti, C Di Natale, ...
IEEE Transactions on Biomedical Engineering 66 (10), 2882-2888, 2019
A ultrasound-based radiomic approach to predict the nodal status in clinically negative breast cancer patients
S Bove, MC Comes, V Lorusso, C Cristofaro, V Didonna, G Gatta, F Giotta, ...
Scientific Reports 12 (1), 7914, 2022
Recursive deep prior video: a super resolution algorithm for time-lapse microscopy of organ-on-chip experiments
P Cascarano, MC Comes, A Mencattini, MC Parrini, EL Piccolomini, ...
Medical Image Analysis 72, 102124, 2021
Machine learning phenomics (MLP) combining deep learning with time-lapse-microscopy for monitoring colorectal adenocarcinoma cells gene expression and drug-response
M D’Orazio, M Murdocca, A Mencattini, P Casti, J Filippi, G Antonelli, ...
Scientific Reports 12 (1), 8545, 2022
Response predictivity to neoadjuvant therapies in breast cancer: a qualitative analysis of background parenchymal enhancement in DCE-MRI
D La Forgia, A Vestito, M Lasciarrea, MC Comes, S Diotaiuti, F Giotta, ...
Journal of Personalized Medicine 11 (4), 256, 2021
Multi-scale generative adversarial network for improved evaluation of cell–cell interactions observed in organ-on-chip experiments
MC Comes, J Filippi, A Mencattini, P Casti, G Cerrato, A Sauvat, ...
Neural Computing and Applications 33, 3671-3689, 2021
Robustness evaluation of a deep learning model on sagittal and axial breast DCE-MRIs to predict pathological complete response to neoadjuvant chemotherapy
R Massafra, MC Comes, S Bove, V Didonna, G Gatta, F Giotta, A Fanizzi, ...
Journal of Personalized Medicine 12 (6), 953, 2022
Deciphering cancer cell behavior from motility and shape features: Peer prediction and dynamic selection to support cancer diagnosis and therapy
M D'Orazio, F Corsi, A Mencattini, D Di Giuseppe, M Colomba Comes, ...
Frontiers in oncology 10, 580698, 2020
Calibration of vision-based measurement of pain intensity with multiple expert observers
P Casti, A Mencattini, MC Comes, G Callari, D Di Giuseppe, S Natoli, ...
IEEE Transactions on Instrumentation and Measurement 68 (7), 2442-2450, 2019
A deep learning model based on whole slide images to predict disease-free survival in cutaneous melanoma patients
MC Comes, L Fucci, F Mele, S Bove, C Cristofaro, I De Risi, A Fanizzi, ...
Scientific Reports 12 (20366), 2022
Analyzing breast cancer invasive disease event classification through explainable artificial intelligence
R Massafra, A Fanizzi, N Amoroso, S Bove, MC Comes, D Pomarico, ...
Frontiers in Medicine 10, 1116354, 2023
Accelerating the experimental responses on cell behaviors: a long-term prediction of cell trajectories using Social Generative Adversarial Network
MC Comes, J Filippi, A Mencattini, F Corsi, P Casti, A De Ninno, ...
Scientific Reports 10 (1), 15635, 2020
Pathological complete response to neoadjuvant chemoimmunotherapy for early triple-negative breast cancer: an updated meta-analysis
A Rizzo, A Cusmai, R Massafra, S Bove, MC Comes, A Fanizzi, L Rinaldi, ...
Cells 11 (12), 1857, 2022
Apoptosis mapping in space and time of 3D tumor ecosystems reveals transmissibility of cytotoxic cancer death
I Veith, A Mencattini, V Picant, M Serra, M Leclerc, MC Comes, ...
PLoS computational biology 17 (3), e1008870, 2021
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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