Are 3d better than 2d convolutional neural networks for medical imaging semantic segmentation? L Crespi, D Loiacono, P Sartori
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
18 2022 Enhancing radiotherapy workflow for head and neck cancer with artificial intelligence: a systematic review C Franzese, D Dei, N Lambri, MA Teriaca, M Badalamenti, L Crespi, ...
Journal of Personalized Medicine 13 (6), 946, 2023
14 2023 Automatic planning of the lower extremities for total marrow irradiation using volumetric modulated arc therapy N Lambri, D Dei, V Hernandez, I Castiglioni, E Clerici, L Crespi, ...
Strahlentherapie und Onkologie 199 (4), 412-419, 2023
10 2023 Internal guidelines for reducing lymph node contour variability in total marrow and lymph node irradiation D Dei, N Lambri, S Stefanini, V Vernier, RC Brioso, L Crespi, E Clerici, ...
Cancers 15 (5), 1536, 2023
7 2023 Impact of the extremities positioning on the set-up reproducibility for the total marrow irradiation treatment N Lambri, SL Antonetti, D Dei, L Bellu, S Bramanti, RC Brioso, ...
Current Oncology 30 (4), 4067-4077, 2023
4 2023 Chest X-Rays Image Classification from L Crespi, D Loiacono, A Chiti
2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2021
4 2021 Machine learning and lean six sigma for targeted patient-specific quality assurance of volumetric modulated arc therapy plans N Lambri, D Dei, G Goretti, L Crespi, RC Brioso, M Pelizzoli, S Parabicoli, ...
Physics and Imaging in Radiation Oncology 31, 100617, 2024
3 2024 Leveraging Multimodal CycleGAN for the Generation of Anatomically Accurate Synthetic CT Scans from MRIs L Crespi, S Camnasio, D Dei, N Lambri, P Mancosu, M Scorsetti, ...
arXiv preprint arXiv:2407.10888, 2024
2 2024 Ensemble methods for multi-organ segmentation in ct series L Crespi, P Roncaglioni, D Dei, C Franzese, N Lambri, D Loiacono, ...
2023 IEEE 36th International Symposium on Computer-Based Medical Systems …, 2023
2 2023 Comparing adversarial and supervised learning for organs at risk segmentation in ct images L Crespi, M Portanti, D Loiacono
2023 IEEE 36th International Symposium on Computer-Based Medical Systems …, 2023
2 2023 Deep learning‐based optimization of field geometry for total marrow irradiation delivered with volumetric modulated arc therapy N Lambri, G Longari, D Loiacono, RC Brioso, L Crespi, C Galdieri, ...
Medical Physics 51 (6), 4402-4412, 2024
1 2024 Towards a comprehensive application of deep learning methods in medical imaging: semantic segmentation, features extraction, synthetic image generation L Crespi
1 2023 ARTInp: CBCT-to-CT Image Inpainting and Image Translation in Radiotherapy RC Brioso, L Crespi, A Seghetto, D Dei, N Lambri, P Mancosu, M Scorsetti, ...
arXiv preprint arXiv:2502.04898, 2025
2025 Automatic base-dose planning for a robust field junction in total marrow irradiation N Lambri, D Dei, RC Brioso, L Crespi, D Loiacono, M Scorsetti, ...
Physica Medica 130, 104898, 2025
2025 Deep learning and atlas-based models to streamline the segmentation workflow of total marrow and lymphoid irradiation D Dei, N Lambri, L Crespi, RC Brioso, D Loiacono, E Clerici, L Bellu, ...
La radiologia medica 129 (3), 515-523, 2024
2024 MULTI-CENTER VALIDATION OF AN AUTOMATIC PLANNING TOOL FOR LOWER-EXTREMITIES TMI AND TBI P Mancosu, N Lambri, G D’Onofrio, F Lliso, FJ Luis-Simon, S Broggi, ...
Physica Medica 115, 1-1, 2023
2023 Haptic virtual reality training simulator for sacral neuromodulation surgery: a feasibility study L CRESPI
Politecnico di Milano, 2017
2017 
Daniele LoiaconoPolitecnico di MilanoCorreu electrònic verificat a polimi.it
