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Giacomo Nebbia
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2020 – today
- 2023
- [c5]Giacomo Nebbia
, Adriana Kovashka
:
Hypernymization of named entity-rich captions for grounding-based multi-modal pretraining. ICMR 2023: 67-75 - [i1]Giacomo Nebbia, Adriana Kovashka:
Hypernymization of named entity-rich captions for grounding-based multi-modal pretraining. CoRR abs/2304.13130 (2023) - 2022
- [c4]Giacomo Nebbia, Adriana Kovashka:
Doubling down: sparse grounding with an additional, almost-matching caption for detection-oriented multimodal pretraining. CVPR Workshops 2022: 4641-4650 - 2021
- [c3]Giacomo Nebbia, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu:
Multi-task learning to incorporate clinical knowledge into deep learning for breast cancer diagnosis. Medical Imaging: Computer-Aided Diagnosis 2021 - [c2]Giacomo Nebbia, Saba Dadsetan, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Heng Huang, Shandong Wu:
Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis. MICCAI (5) 2021: 634-643 - 2020
- [j1]Giacomo Nebbia
, Qian Zhang, Dooman Arefan, Xinxiang Zhao, Shandong Wu:
Pre-operative Microvascular Invasion Prediction Using Multi-parametric Liver MRI Radiomics. J. Digit. Imaging 33(6): 1376-1386 (2020)
2010 – 2019
- 2019
- [c1]Giacomo Nebbia, Aly A. Mohamed, Ruimei Chai, Bingjie Zheng, Margarita L. Zuley, Shandong Wu:
Deep learning of sub-regional breast parenchyma in mammograms for localized breast cancer risk prediction. Medical Imaging: Computer-Aided Diagnosis 2019: 109502P
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