Niccolò Marini
Orcid: 0000-0002-5273-5741
According to our database1,
Niccolò Marini authored at least 29 papers
between 2020 and 2026.
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Bibliography
2026
Multimodal Learning with Privileged Report Supervision for Generalizable Tuberculosis Detection on Chest Radiographs.
J. Medical Syst., December, 2026
Mitigating hallucinations in synthesized clinical texts to improve multimodal deep learning for dermatology.
J. Biomed. Informatics, 2026
Patch-Based Reconstruction and Multimodal Residual Learning for Generalized Deepfake Detection.
Proceedings of the 2026 ACM Workshop on Information Hiding and Multimedia Security, 2026
2025
CoRR, November, 2025
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Proceedings of the IEEE International Conference on Data Mining, 2025
Proceedings of the 9th IEEE/ACM International Workshop on Green and Sustainable Software, 2025
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2025
Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025
2024
Medical Image Anal., 2024
Multimodal representations of biomedical knowledge from limited training whole slide images and reports using deep learning.
Medical Image Anal., 2024
Medical Image Anal., 2024
Automatic Labels are as Effective as Manual Labels in Biomedical Images Classification with Deep Learning.
CoRR, 2024
RegWSI: Whole slide image registration using combined deep feature- and intensity-based methods: Winner of the ACROBAT 2023 challenge.
Comput. Methods Programs Biomed., 2024
2023
On-cloud decision-support system for non-small cell lung cancer histology characterization from thorax computed tomography scans.
Comput. Medical Imaging Graph., December, 2023
Deep learning methods to reduce the need for annotations for the extraction of knowledge from multimodal heterogeneous medical data.
PhD thesis, 2023
Explanation Generation via Decompositional Rules Extraction for Head and Neck Cancer Classification.
Proceedings of the Explainable and Transparent AI and Multi-Agent Systems, 2023
2022
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations.
npj Digit. Medicine, 2022
Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, 2022
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.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
2021
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification.
Medical Image Anal., 2021
Frontiers Comput. Sci., 2021
Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification.
BMC Medical Imaging, 2021
H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021
2020
Semi-weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020
Semi-supervised Learning with a Teacher-Student Paradigm for Histopathology Classification: A Resource to Face Data Heterogeneity and Lack of Local Annotations.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020