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Disambiguation of "Marini, Niccolò"

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RegWSI: Whole Slide Image Registration using Combined Deep Feature- and Intensity-Based Methods: Winner of the ACROBAT 2023 Challenge.

, , , and . CoRR, (2024)

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Niccolò Tosi

Niccolo Lazzarini

Elisabeth Marini

Mirna Marini

Patrizia Marini

 

Other publications of authors with the same name

Semi-supervised Learning with a Teacher-Student Paradigm for Histopathology Classification: A Resource to Face Data Heterogeneity and Lack of Local Annotations., , , and . ICPR Workshops (1), volume 12661 of Lecture Notes in Computer Science, page 105-119. Springer, (2020)RegWSI: Whole Slide Image Registration using Combined Deep Feature- and Intensity-Based Methods: Winner of the ACROBAT 2023 Challenge., , , and . CoRR, (2024)Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification., , , and . Medical Image Anal., (2021)Semi-weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks., , , and . iMIMIC/MIL3ID/LABELS@MICCAI, volume 12446 of Lecture Notes in Computer Science, page 193-203. Springer, (2020)Attention-Based Interpretable Regression of Gene Expression in Histology., , , , , and . iMIMIC@MICCAI, volume 13611 of Lecture Notes in Computer Science, page 44-60. Springer, (2022)The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue., , , , , , , , , and 31 other author(s). CoRR, (2023)Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations., , , , , , , , and . COMPAY@MICCAI, volume 156 of Proceedings of Machine Learning Research, page 170-181. PMLR, (2021)DeeperHistReg: Robust Whole Slide Images Registration Framework., , , and . CoRR, (2024)Deep learning methods to reduce the need for annotations for the extraction of knowledge from multimodal heterogeneous medical data.. University of Geneva, Switzerland, (2023)base-search.net (ftunivgeneve:oai:unige.ch:aou:unige:170757).Unsupervised Method for Intra-patient Registration of Brain Magnetic Resonance Images Based on Objective Function Weighting by Inverse Consistency: Contribution to the BraTS-Reg Challenge., , , , and . BrainLes@MICCAI, volume 13769 of Lecture Notes in Computer Science, page 241-251. Springer, (2022)