Francesco Ciompi

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 54

Top Topics

Convolutional Neural Network

Nodule Detection

Top Venues

Medical Image Anal.

Medical Imaging: Digital Pathology

Publications

Nohemi Sofia Leon Contreras, Marina D'Amato, Francesco Ciompi, Clement Grisi, Witali Aswolinskiy, Simona Vatrano, Filippo Fraggetta, Iris Nagtegaal
Benchmarking Hierarchical Image Pyramid Transformer for the classification of colon biopsies and polyps in histopathology images. CoRR (2024)
Karina Silina, Francesco Ciompi
Hitchhiker's guide to cancer-associated lymphoid aggregates in histology images: manual and deep learning-based quantification approaches. CoRR (2024)
Yiping Jiao, Jeroen van der Laak, Shadi Albarqouni, Zhang Li, Tao Tan, Abhir Bhalerao, Shenghua Cheng, Jiabo Ma, John Pocock, Josien P. W. Pluim, Navid Alemi Koohbanani, Raja Muhammad Saad Bashir, Shan-E-Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Xiuli Liu, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. IEEE J. Biomed. Health Informatics 28 (3) (2024)
Nadieh Khalili, Joey Spronck, Francesco Ciompi, Jeroen van der Laak, Geert Litjens
Uncertainty-guided annotation enhances segmentation with the human-in-the-loop. CoRR (2024)
Eduard Chelebian, Christophe Avenel, Francesco Ciompi, Carolina Wählby
DEPICTER: Deep representation clustering for histology annotation. Comput. Biol. Medicine 170 (2024)
Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Mitko Veta, Katharina Breininger
Abstract: the MIDOG Challenge 2021 - Mitosis Domain Generalization in Histopathology Images. Bildverarbeitung für die Medizin (2023)
Joey Spronck, Thijs Gelton, Leander van Eekelen, Joep Bogaerts, Leslie Tessier, Mart van Rijthoven, Lieke van der Woude, Michel van den Heuvel, Willemijn Theelen, Jeroen van der Laak, Francesco Ciompi
nnUNet meets pathology: Bridging the gap for application to whole slide images and computational biomarkers. MIDL (2023)
Cristian Tommasino, Cristiano Russo, Antonio Maria Rinaldi, Francesco Ciompi
"HoVer-UNet": Accelerating HoVerNet with UNet-based multi-class nuclei segmentation via knowledge distillation. CoRR (2023)
Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Adam Shephard, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Ramona Erber, Andrea Klang, Karoline Lipnik, Pompei Bolfa, Michael J. Dark, Gabriel Wasinger, Mitko Veta, Katharina Breininger
Mitosis domain generalization in histopathology images - The MIDOG challenge. Medical Image Anal. 84 (2023)
Yiping Jiao, Jeroen van der Laak, Shadi Albarqouni, Zhang Li, Tao Tan, Abhir Bhalerao, Jiabo Ma, Jiamei Sun, Johnathon Pocock, Josien P. W. Pluim, Navid Alemi Koohbanani, Raja Muhammad Saad Bashir, Shan e Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Thomas Watson, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. CoRR (2023)
Niccolò Marini, Stefano Marchesin, Sebastian Otálora, Marek Wodzinski, Alessandro Caputo, Mart van Rijthoven, Witali Aswolinskiy, John-Melle Bokhorst, Damian Podareanu, Edyta Petters, Svetla Boytcheva, Genziana Buttafuoco, Simona Vatrano, Filippo Fraggetta, Jeroen van der Laak, Maristella Agosti, Francesco Ciompi, Gianmaria Silvello, Henning Müller, Manfredo Atzori
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations. npj Digit. Medicine 5 (2022)
Eduard Chelebian, Francesco Ciompi, Carolina Wählby
Seeded iterative clustering for histology region identification. CoRR (2022)
Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie D. ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Nasir M. Rajpoot, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Mitko Veta, Katharina Breininger
Mitosis domain generalization in histopathology images - The MIDOG challenge. CoRR (2022)
Witali Aswolinskiy, David Tellez, Gabriel Raya, Lieke van der Woude, Monika Looijen-Salamon, Jeroen van der Laak, Katrien Grunberg, Francesco Ciompi
Neural image compression for non-small cell lung cancer subtype classification in H&E stained whole-slide images. Medical Imaging: Digital Pathology (2021)
John-Melle Bokhorst, Iris D. Nagtegaal, Filippo Fraggetta, Simona Vatrano, Wilma Mesker, Michael Vieth, Jeroen van der Laak, Francesco Ciompi
Automated risk classification of colon biopsies based on semantic segmentation of histopathology images. CoRR (2021)
Francesco Ciompi, Mitko Veta, Jeroen van der Laak, Nasir M. Rajpoot
Editorial Computational Pathology. IEEE J. Biomed. Health Informatics 25 (2) (2021)
Mart van Rijthoven, Maschenka Balkenhol, Karina Silina, Jeroen van der Laak, Francesco Ciompi
HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images. Medical Image Anal. 68 (2021)
David Tellez, Geert Litjens, Jeroen van der Laak, Francesco Ciompi
Neural Image Compression for Gigapixel Histopathology Image Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 43 (2) (2021)
Niccolò Marini, Sebastian Otálora, Francesco Ciompi, Gianmaria Silvello, Stefano Marchesin, Simona Vatrano, Genziana Buttafuoco, Manfredo Atzori, Henning Müller
Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations. COMPAY@MICCAI (2021)
Rutger H. J. Fick, Brice Tayart, Capucine Bertrand, Solene Chan-Lang, Tina Rey, Francesco Ciompi, Cyprien Tilmant, Isabelle Farré, Saima Ben Hadj
. EMBC (2021)
Mart van Rijthoven, Maschenka Balkenhol, Manfredo Atzori, Peter Bult, Jeroen van der Laak, Francesco Ciompi
Few-shot weakly supervised detection and retrieval in histopathology whole-slide images. Medical Imaging: Digital Pathology (2021)
Niccolò Marini, Sebastian Otálora, Damian Podareanu, Mart van Rijthoven, Jeroen van der Laak, Francesco Ciompi, Henning Müller, Manfredo Atzori
Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images. Frontiers Comput. Sci. 3 (2021)
Marc Aubreville, Christof Bertram, Mitko Veta, Robert Klopfleisch, Nikolas Stathonikos, Katharina Breininger, Natalie D. ter Hoeve, Francesco Ciompi, Andreas Maier
Quantifying the Scanner-Induced Domain Gap in Mitosis Detection. CoRR (2021)
David Tellez, Diederik Höppener, Cornelis Verhoef, Dirk J. Grünhagen, Pieter Nierop, Michal Drozdzal, Jeroen van der Laak, Francesco Ciompi
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning. MIDL (2020)
Caner Mercan, G. C. A. M. Mooij, David Tellez, Johannes Lotz, Nick Weiss, Marcel van Gerven, Francesco Ciompi
Virtual Staining for Mitosis Detection in Breast Histopathology. ISBI (2020)
Caner Mercan, Germonda Reijnen-Mooij, David Tellez Martin, Johannes Lotz, Nick Weiss, Marcel van Gerven, Francesco Ciompi
Virtual staining for mitosis detection in Breast Histopathology. CoRR (2020)
David Tellez, Diederik Höppener, Cornelis Verhoef, Dirk J. Grünhagen, Pieter Nierop, Michal Drozdzal, Jeroen van der Laak, Francesco Ciompi
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning. CoRR (2020)
Mart van Rijthoven, Maschenka Balkenhol, Karina Silina, Jeroen van der Laak, Francesco Ciompi
HookNet: multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images. CoRR (2020)
Zaneta Swiderska-Chadaj, Karolina Nurzynska, Bartlomiej Grala, Katrien Grunberg, Lieke van der Woude, Monika Looijen-Salamon, Ann E. Walts, Tomasz Markiewicz, Francesco Ciompi, Arkadiusz Gertych
A deep learning approach to assess the predominant tumor growth pattern in whole-slide images of lung adenocarcinoma. Medical Imaging: Digital Pathology (2020)
Caner Mercan, Maschenka Balkenhol, Roberto Salgado, Mark Sherman, Philippe Vielh, Willem Vreuls, António Polónia, Hugo M. Horlings, Wilko Weichert, Jodi M. Carter, Peter Bult, Matthias Christgen, Carsten Denkert, Koen van de Vijver, Jeroen van der Laak, Francesco Ciompi
Automated Scoring of Nuclear Pleomorphism Spectrum with Pathologist-level Performance in Breast Cancer. CoRR (2020)
David Tellez, Geert Litjens, Péter Bándi, Wouter Bulten, John-Melle Bokhorst, Francesco Ciompi, Jeroen van der Laak
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology. Medical Image Anal. 58 (2019)
Nick Pawlowski, Suvrat Bhooshan, Nicolas Ballas, Francesco Ciompi, Ben Glocker, Michal Drozdzal
Needles in Haystacks: On Classifying Tiny Objects in Large Images. CoRR (2019)
Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Josien P. W. Pluim
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge. Medical Image Anal. 54 (2019)
Zaneta Swiderska-Chadaj, Hans Pinckaers, Mart van Rijthoven, Maschenka Balkenhol, Margarita Melnikova, Oscar Geessink, Quirine Manson, Mark Sherman, António Polónia, Jeremy Parry, Mustapha Abubakar, Geert Litjens, Jeroen van der Laak, Francesco Ciompi
Learning to detect lymphocytes in immunohistochemistry with deep learning. Medical Image Anal. 58 (2019)
David Tellez, Geert Litjens, Péter Bándi, Wouter Bulten, John-Melle Bokhorst, Francesco Ciompi, Jeroen van der Laak
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology. CoRR (2019)
John-Melle Bokhorst, Hans Pinckaers, Peter van Zwam, Iris Nagtegaal, Jeroen van der Laak, Francesco Ciompi
Learning from sparsely annotated data for semantic segmentation in histopathology images. MIDL (2019)
Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir M. Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. CoRR (2018)
David Tellez, Maschenka Balkenhol, Nico Karssemeijer, Geert Litjens, Jeroen van der Laak, Francesco Ciompi
H&E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection. Medical Imaging: Digital Pathology (2018)
John-Melle Bokhorst, Lucia Rijstenberg, Danny Goudkade, Iris Nagtegaal, Jeroen van der Laak, Francesco Ciompi
Automatic Detection of Tumor Budding in Colorectal Carcinoma with Deep Learning. COMPAY/OMIA@MICCAI (2018)
David Tellez, Maschenka Balkenhol, Irene Otte-Höller, Rob van de Loo, Rob Vogels, Peter Bult, Carla Wauters, Willem Vreuls, Suzanne Mol, Nico Karssemeijer, Geert Litjens, Jeroen van der Laak, Francesco Ciompi
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 37 (9) (2018)
David Tellez, Maschenka Balkenhol, Irene Otte-Höller, Rob van de Loo, Rob Vogels, Peter Bult, Carla Wauters, Willem Vreuls, Suzanne Mol, Nico Karssemeijer, Geert Litjens, Jeroen van der Laak, Francesco Ciompi
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks. CoRR (2018)
David Tellez, Geert Litjens, Jeroen van der Laak, Francesco Ciompi
Neural Image Compression for Gigapixel Histopathology Image Analysis. CoRR (2018)
Péter Bándi, Rob van de Loo, Milad Intezar, Daan Geijs, Francesco Ciompi, Bram van Ginneken, Jeroen van der Laak, Geert Litjens
Comparison of different methods for tissue segmentation in histopathological whole-slide images. ISBI (2017)
Francesco Ciompi, Oscar Geessink, Babak Ehteshami Bejnordi, Gabriel Silva de Souza, Alexi Baidoshvili, Geert Litjens, Bram van Ginneken, Iris Nagtegaal, Jeroen van der Laak
The importance of stain normalization in colorectal tissue classification with convolutional networks. ISBI (2017)
Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A. W. M. van der Laak, Bram van Ginneken, Clara I. Sánchez
A survey on deep learning in medical image analysis. Medical Image Anal. 42 (2017)
Francesco Ciompi, Oscar Geessink, Babak Ehteshami Bejnordi, Gabriel Silva de Souza, Alexi Baidoshvili, Geert Litjens, Bram van Ginneken, Iris Nagtegaal, Jeroen van der Laak
The importance of stain normalization in colorectal tissue classification with convolutional networks. CoRR (2017)
Péter Bándi, Rob van de Loo, Milad Intezar, Daan Geijs, Francesco Ciompi, Bram van Ginneken, Jeroen van der Laak, Geert Litjens
Comparison of Different Methods for Tissue Segmentation in Histopathological Whole-Slide Images. CoRR (2017)
Jean-Paul Charbonnier, Eva M. van Rikxoort, Arnaud A. A. Setio, Cornelia Schaefer-Prokop, Bram van Ginneken, Francesco Ciompi
Improving airway segmentation in computed tomography using leak detection with convolutional networks. Medical Image Anal. 36 (2017)
Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A. W. M. van der Laak, Bram van Ginneken, Clara I. Sánchez
A Survey on Deep Learning in Medical Image Analysis. CoRR (2017)
Simone Balocco, Francesco Ciompi, Juan Rigla, Xavier Carrillo, Josepa Mauri, Petia Radeva
Intra-coronary Stent Localization in Intravascular Ultrasound Sequences, A Preliminary Study. CVII-STENT/LABELS@MICCAI (2017)
Nikolas Leßmann, Ivana Isgum, Arnaud A. A. Setio, Bob D. de Vos, Francesco Ciompi, Pim A. de Jong, Matthijs Oudkerk, W. P. Th. M. Mali, Max A. Viergever, Bram van Ginneken
Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT. Medical Imaging: Computer-Aided Diagnosis (2016)
Francesco Ciompi, Kaman Chung, Sarah J. van Riel, Arnaud Arindra Adiyoso Setio, Paul K. Gerke, Colin Jacobs, Ernst Th. Scholten, Cornelia Schaefer-Prokop, Mathilde M. W. Wille, Alfonso Marchiano, Ugo Pastorino, Mathias Prokop, Bram van Ginneken
Towards automatic pulmonary nodule management in lung cancer screening with deep learning. CoRR (2016)
Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Geert Litjens, Paul K. Gerke, Colin Jacobs, Sarah J. van Riel, Mathilde Marie Winkler Wille, Matiullah Naqibullah, Clara I. Sánchez, Bram van Ginneken
Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks. IEEE Trans. Medical Imaging 35 (5) (2016)
Jean-Paul Charbonnier, Monique Brink, Francesco Ciompi, Ernst Th. Scholten, Cornelia Schaefer-Prokop, Eva M. van Rikxoort
Automatic Pulmonary Artery-Vein Separation and Classification in Computed Tomography Using Tree Partitioning and Peripheral Vessel Matching. IEEE Trans. Medical Imaging 35 (3) (2016)
Bram van Ginneken, Arnaud A. A. Setio, Colin Jacobs, Francesco Ciompi
Off-the-shelf convolutional neural network features for pulmonary nodule detection in computed tomography scans. ISBI (2015)
Francesco Ciompi, Colin Jacobs, Ernst Th. Scholten, Sarah J. van Riel, Mathilde M. W. Wille, Mathias Prokop, Bram van Ginneken
Automatic detection of spiculation of pulmonary nodules in computed tomography images. Medical Imaging: Computer-Aided Diagnosis (2015)
Francesco Ciompi, Bartjan de Hoop, Sarah J. van Riel, Kaman Chung, Ernst Th. Scholten, Matthijs Oudkerk, Pim A. de Jong, Mathias Prokop, Bram van Ginneken
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. 26 (1) (2015)
Arnaud A. A. Setio, Colin Jacobs, Francesco Ciompi, Sarah J. van Riel, Mathilde Marie Winkler Wille, Asger Dirksen, Eva M. van Rikxoort, Bram van Ginneken
Computer-aided detection of lung cancer: combining pulmonary nodule detection systems with a tumor risk prediction model. Medical Imaging: Computer-Aided Diagnosis (2015)
Francesco Ciompi, Colin Jacobs, Ernst Th. Scholten, Mathilde M. W. Wille, Pim A. de Jong, Mathias Prokop, Bram van Ginneken
Bag-of-Frequencies: A Descriptor of Pulmonary Nodules in Computed Tomography Images. IEEE Trans. Medical Imaging 34 (4) (2015)
Francesco Ciompi, Oriol Pujol, Petia Radeva
ECOC-DRF: Discriminative random fields based on error correcting output codes. Pattern Recognit. 47 (6) (2014)
Simone Balocco, Carlo Gatta, Francesco Ciompi, Andreas Wahle, Petia Radeva, Stéphane G. Carlier, Gözde B. Ünal, Elias Sanidas, Josepa Mauri, Xavier Carrillo, Tomas Kovarnik, Ching-Wei Wang, Hsiang-Chou Chen, Themis P. Exarchos, Dimitrios I. Fotiadis, François Destrempes, Guy Cloutier, Oriol Pujol, Marina Alberti, E. Gerardo Mendizabal-Ruiz, Mariano Rivera, Timur Aksoy, Richard W. Downe, Ioannis A. Kakadiaris
Standardized evaluation methodology and reference database for evaluating IVUS image segmentation. Comput. Medical Imaging Graph. 38 (2) (2014)
Carlo Gatta, Francesco Ciompi
Stacked Sequential Scale-SpaceTaylor Context. IEEE Trans. Pattern Anal. Mach. Intell. 36 (8) (2014)
Francesco Ciompi, Rui Hua, Simone Balocco, Marina Alberti, Oriol Pujol, Carles Caus, Josepa Mauri, Petia Radeva
Learning to Detect Stent Struts in Intravascular Ultrasound. IbPRIA (2013)
Francesco Ciompi, Simone Balocco, Carles Caus, Josepa Mauri, Petia Radeva
Stent Shape Estimation through a Comprehensive Interpretation of Intravascular Ultrasound Images. MICCAI (2) (2013)
Francesco Ciompi, Oriol Pujol, Carlo Gatta, Marina Alberti, Simone Balocco, Xavier Carrillo, Josepa Mauri-Ferre, Petia Radeva
HoliMAb: A holistic approach for Media-Adventitia border detection in intravascular ultrasound. Medical Image Anal. 16 (6) (2012)
Marina Alberti, Simone Balocco, Carlo Gatta, Francesco Ciompi, Oriol Pujol, Joana Silva, Xavier Carrillo, Petia Radeva
Automatic Bifurcation Detection in Coronary IVUS Sequences. IEEE Trans. Biomed. Eng. 59 (4) (2012)
Marina Alberti, Carlo Gatta, Simone Balocco, Francesco Ciompi, Oriol Pujol, Joana Silva, Xavier Carrillo, Petia Radeva
Automatic Branching Detection in IVUS Sequences. IbPRIA (2011)
Francesco Ciompi, Oriol Pujol, Carlo Gatta, Xavier Carrillo, Josepa Mauri, Petia Radeva
A Holistic Approach for the Detection of Media-Adventitia Border in IVUS. MICCAI (3) (2011)
Simone Balocco, Carlo Gatta, Francesco Ciompi, Oriol Pujol, Xavier Carrillo, Josepa Mauri, Petia Radeva
Combining Growcut and Temporal Correlation for IVUS Lumen Segmentation. IbPRIA (2011)
José C. R. Seabra, Francesco Ciompi, Oriol Pujol, Josepa Mauri, Petia Radeva, João M. Sanches
Rayleigh Mixture Model for Plaque Characterization in Intravascular Ultrasound. IEEE Trans. Biomed. Eng. 58 (5) (2011)
Francesco Ciompi, Oriol Pujol, Petia Radeva
A Meta-Learning Approach to Conditional Random Fields Using Error-Correcting Output Codes. ICPR (2010)
Carlo Gatta, Simone Balocco, Francesco Ciompi, Rayyan Hemetsberger, Oriol Rodriguez-Leor, Petia Radeva
Real-Time Gating of IVUS Sequences Based on Motion Blur Analysis: Method and Quantitative Validation. MICCAI (2) (2010)
José C. R. Seabra, João M. Sanches, Francesco Ciompi, Petia Radeva
Ultrasonographic plaque characterization using a Rayleigh mixture model. ISBI (2010)
Francesco Ciompi, Oriol Pujol, Oriol Rodriguez-Leor, Angel Serrano Vida, Josepa Mauri, Petia Radeva
On in-vitro and in-vivo IVUS data fusion. CCIA (2009)
Francesco Ciompi, Oriol Pujol, Oriol Rodriguez-Leor, Carlo Gatta, Angel Serrano Vida, Petia Radeva
Enhancing In-Vitro IVUS Data for Tissue Characterization. IbPRIA (2009)
Carlo Gatta, Juan Diego Gomez Valencia, Francesco Ciompi, Oriol Rodriguez-Leor, Petia Radeva
Toward Robust Myocardial Blush Grade Estimation in Contrast Angiography. IbPRIA (2009)
Francesco Ciompi, Oriol Pujol, Eduard Fernández-Nofrerías, Josepa Mauri, Petia Radeva
ECOC Random Fields for Lumen Segmentation in Radial Artery IVUS Sequences. MICCAI (1) (2009)