statistiche ricercatore

Nome	#
Radiomic analysis in contrast-enhanced spectral mammography for predicting breast cancer histological outcome	135
Accurate Evaluation of Feature Contributions for Sentinel Lymph Node Status Classification in Breast Cancer	83
null	71
Hough Transform for Clustered Microcalcifications Detection in Full-Field Digital Mammograms	58
Nutrition as Personalized Medicine against SARS-CoV-2 Infections: Clinical and Oncological Options with a Specific Female Groups Overview	55
A machine learning ensemble approach for 5- And 10-year breast cancer invasive disease event classification	13
Robustness Evaluation of a Deep Learning Model on Sagittal and Axial Breast DCE‐MRIs to Predict Pathological Complete Response to Neoadjuvant Chemotherapy	11
A ultrasound-based radiomic approach to predict the nodal status in clinically negative breast cancer patients	10
Predicting of sentinel lymph node status in breast cancer patients with clinically negative nodes: A validation study	10
Analyzing breast cancer invasive disease event classification through explainable artificial intelligence	10
Decision support systems for the prediction of lymph node involvement in early breast cancer	10
Machine learning survival models trained on clinical data to identify high risk patients with hormone responsive HER2 negative breast cancer	9
Sentinel lymph node metastasis on clinically negative patients: Preliminary results of a machine learning model based on histopathological features	8
Totale	483

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2020/2021	14	0	0	0	0	0	1	0	6	2	4	0	1
2021/2022	25	3	0	0	0	1	4	2	0	1	6	2	6
2022/2023	39	4	6	3	0	4	8	0	5	4	3	1	1
2023/2024	26	0	6	0	3	1	12	0	1	0	0	0	3
2024/2025	100	7	0	9	5	1	15	17	9	1	6	10	20
2025/2026	196	32	9	15	25	92	23	0	0	0	0	0	0
Totale													483