ResearcherIRCCS Ospedale San RaffaeleActive in the last 2 years
Martina Mori
Matched on ORCID iD 0000-0002-2011-5898; OpenAlex author ID A5046880314. Sources: OpenAlex.
Their work
- Papers
- 7 (first author 4, last author 0)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 24
2018: 1 paper · 2019: none · 2020: 1 paper · 2021: 1 paper · 2022: 2 papers · 2023: 1 paper · 2024: none · 2025: 1 paper
Papers 7
- Temporal Validation of an FDG-PET-Radiomic Model for Distant-Relapse-Free-Survival After Radio-Chemotherapy for Pancreatic Adenocarcinoma. First author DOI 10.3390/cancers17061036↗
- Limited impact of discretization/interpolation parameters on the predictive power of CT radiomic features in a surgical cohort of pancreatic cancer patients. First author DOI 10.1007/s11547-023-01649-y↗
- Proposal for a New Pathologic Prognostic Index After Neoadjuvant Chemotherapy in Pancreatic Ductal Adenocarcinoma (PINC). Co-author DOI 10.1245/s10434-022-11413-7↗
- Stomach and duodenum dose-volume constraints for locally advanced pancreatic cancer patients treated in 15 fractions in combination with chemotherapy. Co-author DOI 10.3389/fonc.2022.983984↗
- Prediction of Early Distant Recurrence in Upfront Resectable Pancreatic Adenocarcinoma: A Multidisciplinary, Machine Learning-Based Approach. First author DOI 10.3390/cancers13194938↗
- Training and validation of a robust PET radiomic-based index to predict distant-relapse-free-survival after radio-chemotherapy for locally advanced pancreatic … Co-author DOI 10.1016/j.radonc.2020.07.003↗
- Quantifying the robustness of [18F]FDG-PET/CT radiomic features with respect to tumor delineation in head and neck and pancreatic cancer patients. First author DOI 10.1016/j.ejmp.2018.05.013↗
Closest collaborators
The 24 strongest of 24 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Claudio Fiorino · 7 shared papers, 2018–2025 · strength 0.95
- Paper Temporal Validation of an FDG-PET-Radiomic Model for Distant-Relapse-Free-Survival After Radio-Chemotherapy for Pancrea… DOI 10.3390/cancers17061036↗
- Paper Limited impact of discretization/interpolation parameters on the predictive power of CT radiomic features in a surgical… DOI 10.1007/s11547-023-01649-y↗
- Paper Proposal for a New Pathologic Prognostic Index After Neoadjuvant Chemotherapy in Pancreatic Ductal Adenocarcinoma (PINC… DOI 10.1245/s10434-022-11413-7↗
- Michele Reni · 5 shared papers, 2020–2025 · strength 0.70
- Paper Temporal Validation of an FDG-PET-Radiomic Model for Distant-Relapse-Free-Survival After Radio-Chemotherapy for Pancrea… DOI 10.3390/cancers17061036↗
- Paper Proposal for a New Pathologic Prognostic Index After Neoadjuvant Chemotherapy in Pancreatic Ductal Adenocarcinoma (PINC… DOI 10.1245/s10434-022-11413-7↗
- Paper Stomach and duodenum dose-volume constraints for locally advanced pancreatic cancer patients treated in 15 fractions in… DOI 10.3389/fonc.2022.983984↗
- Nadia Gisella Di Muzio · 4 shared papers, 2018–2025 · strength 0.52
- Paper Temporal Validation of an FDG-PET-Radiomic Model for Distant-Relapse-Free-Survival After Radio-Chemotherapy for Pancrea… DOI 10.3390/cancers17061036↗
- Paper Stomach and duodenum dose-volume constraints for locally advanced pancreatic cancer patients treated in 15 fractions in… DOI 10.3389/fonc.2022.983984↗
- Paper Training and validation of a robust PET radiomic-based index to predict distant-relapse-free-survival after radio-chemo… DOI 10.1016/j.radonc.2020.07.003↗
- Paolo Passoni · 4 shared papers, 2018–2025 · strength 0.52
- Paper Temporal Validation of an FDG-PET-Radiomic Model for Distant-Relapse-Free-Survival After Radio-Chemotherapy for Pancrea… DOI 10.3390/cancers17061036↗
- Paper Stomach and duodenum dose-volume constraints for locally advanced pancreatic cancer patients treated in 15 fractions in… DOI 10.3389/fonc.2022.983984↗
- Paper Training and validation of a robust PET radiomic-based index to predict distant-relapse-free-survival after radio-chemo… DOI 10.1016/j.radonc.2020.07.003↗
- Massimo Falconi · 3 shared papers, 2021–2023 · strength 0.43
- Paper Limited impact of discretization/interpolation parameters on the predictive power of CT radiomic features in a surgical… DOI 10.1007/s11547-023-01649-y↗
- Paper Proposal for a New Pathologic Prognostic Index After Neoadjuvant Chemotherapy in Pancreatic Ductal Adenocarcinoma (PINC… DOI 10.1245/s10434-022-11413-7↗
- Paper Prediction of Early Distant Recurrence in Upfront Resectable Pancreatic Adenocarcinoma: A Multidisciplinary, Machine Le… DOI 10.3390/cancers13194938↗
- Maria Picchio · 3 shared papers, 2018–2025 · strength 0.38
- Paper Temporal Validation of an FDG-PET-Radiomic Model for Distant-Relapse-Free-Survival After Radio-Chemotherapy for Pancrea… DOI 10.3390/cancers17061036↗
- Paper Training and validation of a robust PET radiomic-based index to predict distant-relapse-free-survival after radio-chemo… DOI 10.1016/j.radonc.2020.07.003↗
- Paper Quantifying the robustness of [18F]FDG-PET/CT radiomic features with respect to tumor delineation in head and neck and … DOI 10.1016/j.ejmp.2018.05.013↗
- Sara Broggi · 3 shared papers, 2018–2022 · strength 0.31
- Paper Stomach and duodenum dose-volume constraints for locally advanced pancreatic cancer patients treated in 15 fractions in… DOI 10.3389/fonc.2022.983984↗
- Paper Training and validation of a robust PET radiomic-based index to predict distant-relapse-free-survival after radio-chemo… DOI 10.1016/j.radonc.2020.07.003↗
- Paper Quantifying the robustness of [18F]FDG-PET/CT radiomic features with respect to tumor delineation in head and neck and … DOI 10.1016/j.ejmp.2018.05.013↗
- Diego Palumbo · 2 shared papers, 2021–2023 · strength 0.28
- Paper Limited impact of discretization/interpolation parameters on the predictive power of CT radiomic features in a surgical… DOI 10.1007/s11547-023-01649-y↗
- Paper Prediction of Early Distant Recurrence in Upfront Resectable Pancreatic Adenocarcinoma: A Multidisciplinary, Machine Le… DOI 10.3390/cancers13194938↗
- Francesco DE COBELLI · 2 shared papers, 2021–2023 · strength 0.28
- Paper Limited impact of discretization/interpolation parameters on the predictive power of CT radiomic features in a surgical… DOI 10.1007/s11547-023-01649-y↗
- Paper Prediction of Early Distant Recurrence in Upfront Resectable Pancreatic Adenocarcinoma: A Multidisciplinary, Machine Le… DOI 10.3390/cancers13194938↗
- Stefano Crippa · 2 shared papers, 2021–2023 · strength 0.28
- Paper Limited impact of discretization/interpolation parameters on the predictive power of CT radiomic features in a surgical… DOI 10.1007/s11547-023-01649-y↗
- Paper Prediction of Early Distant Recurrence in Upfront Resectable Pancreatic Adenocarcinoma: A Multidisciplinary, Machine Le… DOI 10.3390/cancers13194938↗
- Giovanni Mauro Cattaneo · 2 shared papers, 2018–2022 · strength 0.21
- Paper Stomach and duodenum dose-volume constraints for locally advanced pancreatic cancer patients treated in 15 fractions in… DOI 10.3389/fonc.2022.983984↗
- Paper Quantifying the robustness of [18F]FDG-PET/CT radiomic features with respect to tumor delineation in head and neck and … DOI 10.1016/j.ejmp.2018.05.013↗
- M. De Vincenzi · 1 shared paper, 2025 · strength 0.21
- Sara Loi · 1 shared paper, 2023 · strength 0.18
- Claudio Doglioni · 1 shared paper, 2022 · strength 0.15
- Miriam Redegalli · 1 shared paper, 2022 · strength 0.15
- Gianpaolo Balzano · 1 shared paper, 2022 · strength 0.15
- Maria Giulia Cangi · 1 shared paper, 2022 · strength 0.15
- Paolo Giorgio Arcidiacono · 1 shared paper, 2022 · strength 0.15
- Marco Schiavo Lena · 1 shared paper, 2022 · strength 0.15
- Giulio Belfiori · 1 shared paper, 2021 · strength 0.10
- Domenico Tamburrino · 1 shared paper, 2021 · strength 0.10
- Stefano Cascinu · 1 shared paper, 2021 · strength 0.10
- R. Calandrino · 1 shared paper, 2018 · strength 0.07
- Maria Luisa Belli · 1 shared paper, 2018 · strength 0.07
How to reach this person
A chain of introductions through people who have published, run trials or held grants together (warm_path@1: fewest links first, then the strongest). Built from public records only; no contact details are kept.