Francesco Ciompi
Orcid: 0000-0001-8327-9606
According to our database1,
Francesco Ciompi
authored at least 67 papers
between 2009 and 2024.
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Bibliography
2024
IEEE J. Biomed. Health Informatics, March, 2024
Comput. Biol. Medicine, March, 2024
Hitchhiker's guide to cancer-associated lymphoid aggregates in histology images: manual and deep learning-based quantification approaches.
CoRR, 2024
2023
Medical Image Anal., 2023
"HoVer-UNet": Accelerating HoVerNet with UNet-based multi-class nuclei segmentation via knowledge distillation.
CoRR, 2023
nnUNet meets pathology: Bridging the gap for application to whole slide images and computational biomarkers.
Proceedings of the Medical Imaging with Deep Learning, 2023
Abstract: the MIDOG Challenge 2021 - Mitosis Domain Generalization in Histopathology Images.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
2022
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations.
npj Digit. Medicine, 2022
CoRR, 2022
2021
IEEE Trans. Pattern Anal. Mach. Intell., 2021
HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images.
Medical Image Anal., 2021
Frontiers Comput. Sci., 2021
Automated risk classification of colon biopsies based on semantic segmentation of histopathology images.
CoRR, 2021
Few-shot weakly supervised detection and retrieval in histopathology whole-slide images.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021
Neural image compression for non-small cell lung cancer subtype classification in H&E stained whole-slide images.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021
A Partial Label-Based Machine Learning Approach For Cervical Whole-Slide Image Classification: The Winning TissueNet Solution<sup>*</sup>.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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
Automated Scoring of Nuclear Pleomorphism Spectrum with Pathologist-level Performance in Breast Cancer.
CoRR, 2020
A deep learning approach to assess the predominant tumor growth pattern in whole-slide images of lung adenocarcinoma.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge.
Medical Image Anal., 2019
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology.
Medical Image Anal., 2019
Medical Image Anal., 2019
Learning from sparsely annotated data for semantic segmentation in histopathology images.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
2018
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks.
IEEE Trans. Medical Imaging, 2018
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge.
CoRR, 2018
H&E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018
2017
Improving airway segmentation in computed tomography using leak detection with convolutional networks.
Medical Image Anal., 2017
Intra-coronary Stent Localization in Intravascular Ultrasound Sequences, A Preliminary Study.
Proceedings of the Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2017
The importance of stain normalization in colorectal tissue classification with convolutional networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Comparison of different methods for tissue segmentation in histopathological whole-slide images.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks.
IEEE Trans. Medical Imaging, 2016
Automatic Pulmonary Artery-Vein Separation and Classification in Computed Tomography Using Tree Partitioning and Peripheral Vessel Matching.
IEEE Trans. Medical Imaging, 2016
Towards automatic pulmonary nodule management in lung cancer screening with deep learning.
CoRR, 2016
Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
2015
IEEE Trans. Medical Imaging, 2015
Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box.
Medical Image Anal., 2015
Computer-aided detection of lung cancer: combining pulmonary nodule detection systems with a tumor risk prediction model.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Automatic detection of spiculation of pulmonary nodules in computed tomography images.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Off-the-shelf convolutional neural network features for pulmonary nodule detection in computed tomography scans.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
Pattern Recognit., 2014
IEEE Trans. Pattern Anal. Mach. Intell., 2014
Standardized evaluation methodology and reference database for evaluating IVUS image segmentation.
Comput. Medical Imaging Graph., 2014
2013
Stent Shape Estimation through a Comprehensive Interpretation of Intravascular Ultrasound Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013
2012
IEEE Trans. Biomed. Eng., 2012
HoliMAb: A holistic approach for Media-Adventitia border detection in intravascular ultrasound.
Medical Image Anal., 2012
2011
IEEE Trans. Biomed. Eng., 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011
2010
Real-Time Gating of IVUS Sequences Based on Motion Blur Analysis: Method and Quantitative Validation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
A Meta-Learning Approach to Conditional Random Fields Using Error-Correcting Output Codes.
Proceedings of the 20th International Conference on Pattern Recognition, 2010
2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Pattern Recognition and Image Analysis, 4th Iberian Conference, 2009
Proceedings of the Pattern Recognition and Image Analysis, 4th Iberian Conference, 2009
Proceedings of the Artificial Intelligence Research and Development, 2009