Francesco Ciompi

According to our database1, Francesco Ciompi authored at least 45 papers between 2009 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge.
Medical Image Analysis, 2019

Needles in Haystacks: On Classifying Tiny Objects in Large Images.
CoRR, 2019

Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology.
CoRR, 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. Med. Imaging, 2018

Neural Image Compression for Gigapixel Histopathology Image Analysis.
CoRR, 2018

Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks.
CoRR, 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

Automatic Detection of Tumor Budding in Colorectal Carcinoma with Deep Learning.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

2017
A survey on deep learning in medical image analysis.
Medical Image Analysis, 2017

Improving airway segmentation in computed tomography using leak detection with convolutional networks.
Medical Image Analysis, 2017

A Survey on Deep Learning in Medical Image Analysis.
CoRR, 2017

The importance of stain normalization in colorectal tissue classification with convolutional networks.
CoRR, 2017

Comparison of Different Methods for Tissue Segmentation in Histopathological Whole-Slide Images.
CoRR, 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. Med. Imaging, 2016

Automatic Pulmonary Artery-Vein Separation and Classification in Computed Tomography Using Tree Partitioning and Peripheral Vessel Matching.
IEEE Trans. Med. 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
Bag-of-Frequencies: A Descriptor of Pulmonary Nodules in Computed Tomography Images.
IEEE Trans. Med. 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 Analysis, 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
ECOC-DRF: Discriminative random fields based on error correcting output codes.
Pattern Recognition, 2014

Stacked Sequential Scale-SpaceTaylor Context.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Standardized evaluation methodology and reference database for evaluating IVUS image segmentation.
Comp. Med. Imag. and 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

Learning to Detect Stent Struts in Intravascular Ultrasound.
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

2012
Automatic Bifurcation Detection in Coronary IVUS Sequences.
IEEE Trans. Biomed. Engineering, 2012

HoliMAb: A holistic approach for Media-Adventitia border detection in intravascular ultrasound.
Medical Image Analysis, 2012

2011
Rayleigh Mixture Model for Plaque Characterization in Intravascular Ultrasound.
IEEE Trans. Biomed. Engineering, 2011

A Holistic Approach for the Detection of Media-Adventitia Border in IVUS.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Combining Growcut and Temporal Correlation for IVUS Lumen Segmentation.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

Automatic Branching Detection in IVUS Sequences.
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

Ultrasonographic plaque characterization using a Rayleigh mixture model.
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
ECOC Random Fields for Lumen Segmentation in Radial Artery IVUS Sequences.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Toward Robust Myocardial Blush Grade Estimation in Contrast Angiography.
Proceedings of the Pattern Recognition and Image Analysis, 4th Iberian Conference, 2009

Enhancing In-Vitro IVUS Data for Tissue Characterization.
Proceedings of the Pattern Recognition and Image Analysis, 4th Iberian Conference, 2009

On in-vitro and in-vivo IVUS data fusion.
Proceedings of the Artificial Intelligence Research and Development, 2009


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