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First name(s):	Yashin
Last name(s):	Dicente Cid

Bogdan Boteanu, Henning Müller, Renaud Péteri, Asma Ben Abacha, Mourad Sarrouti, Dina Demner-Fushman, Sadid A. Hasan, Vassili Kovalev, Serge Kozlovski, Vitali Liauchuk, Yashin Dicente Cid, Obioma Pelka, Alba García Seco de Herrera, Janadhip Jacutprakart, Christoph Friedrich, Raul Berari, Andrei Tautenau, Dimitri Fichou, Paul Brie, Mihai Dogariu, Liviu Daniel Stefan, Mihai Gabriel Constantin, Jon Chamberlain, Antonio Camponello, Adrian Clark, Thomas Oliver, Hassan Moustahfid, Adrian Popescu and Jerome Deshayes, ImageCLEF 2021: Multimedia Retrieval in Medical, Nature, Internet and Social Media, in: CLEF proceedings, Springer, 2021

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Joel Castelli, Adrien Depeursinge, Anne Devillers, B. Campillo-Gimenez, Yashin Dicente Cid, John O. Prior, Enrique Chajon, Franck Jegoux, C. Sire, Oscar Acosta, X. Sun, B. De Bari, J. Bourhis and R. De Crevoisier, PET-based predictive survival model after radiotherapy for head and neck cancer (2019), in: European Journal of Nuclear Medicine and Molecular Imaging, 46:3(638-649)

[]: IF 2016 = 7.277

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Joel Castelli, Adrien Depeursinge, Vanessa Ndoh, Anne Devillers, Yashin Dicente Cid, Roger Schaer, John O. Prior, J. Bourhis, C. Cire and R. De Crevoisier, Valeur de la TEP au 18-FDG pour prédire la récidive dans les cancers ORL non oropharyngé traités par radio-chimiothérapie, in: Société Française de radiothérapie Oncologique, 2017

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Pol Cirujeda, Yashin Dicente Cid, Xavier Mateo and Xavier Binefa, A 3D Scene Registration Method via Covariance Descriptors and an Evolutionary Stable Strategy Game Theory Solver (2015), in: International Journal of Computer Vision(1-24)

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Pol Cirujeda, Yashin Dicente Cid, Henning Müller, Daniel L. Rubin, Todd A. Aguilera, Billy W. Loo Jr., Maximilian Diehn, Xavier Binefa and Adrien Depeursinge, A 3-D Riesz-Covariance Texture Model for Prediction of Nodule Recurrence in Lung CT (2016), in: IEEE Transactions on Medical Imaging, 35:12(2620-2630)

[]: IF 2015 = 3.76
[]: video presentation of the paper: https://portal.klewel.com/watch/webcast/valaiswallis-ai-workshop-reproducibility-in-research/talk/9

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Pol Cirujeda, Xavier Mateo, Yashin Dicente Cid and Xavier Binefa, MCOV: A Covariance Descriptor for Fusion of Texture and Shape Features in 3D Point Clouds (2014), in: 3D Vision (3DV), 2014 2nd International Conference on, 1(551-558)

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Matteo Cognolato, Lorenzo Brigato, Yashin Dicente Cid, Manfredo Atzori and Henning Müller, Analyzing the trade-off between training session time and performance in myoelectric hand gesture recognition during upper limb movement, in: 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR), Toronto, Canada, 2019

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Adrien Depeursinge, Yashin Dicente Cid, Roger Schaer, R. De Crevoisier, John O. Prior and Joel Castelli, Comparing 18-FDG PET 3D texture attributes for the prediction of survival and recurrence in oropharyngeal cancers treated with radiotherapy, in: Workshop on the Prediction and Modeling of response to Molecular and External Beam Radiotherapies, Le Bono, France, 2017

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Yashin Dicente Cid, Lung Tissue Analysis: From Local Visual Descriptors To Global Modeling, University of Geneva, 2018

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Yashin Dicente Cid, Kayhan Batmanghelich and Henning Müller, Textured Graph--based Model of the Lungs: Application on Tuberculosis Type Classification and Multi--Drug Resistance Prediction, in: CLEF 2018, Avignon, France, 2018

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Yashin Dicente Cid, Kayhan Batmanghelich and Henning Müller, Textured Graph-model of the Lungs for Tuberculosis Type Classification and Drug Resistance Prediction: participation in ImageCLEF 2017, in: ImageCLEF working Notes 2017, Dublin, Ireland, 2017

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Yashin Dicente Cid, Joel Castelli, Roger Schaer, Nathaniel Scher, Anastasia Pomoni, John O. Prior and Adrien Depeursinge, QuantImage: An Online Tool for High-Throughput 3D Radiomics Feature Extraction in PET-CT, in: Biomedical Texture Analysis: Fundamentals, Applications and Tools, pages 349-377, Elsevier, 2017

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Yashin Dicente Cid, Adrien Depeursinge, Antonio Foncubierta-Rodríguez, Alexandra Platon, Pierre-Alexandre Poletti and Henning Müller, Pulmonary Embolism Detection using Localized Vessel-Based Features in Dual Energy CT, in: SPIE Medical Imaging, pages 941407-941407-10, SPIE, 2015

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Yashin Dicente Cid, Oscar Jimenez del Toro, Adrien Depeursinge and Henning Müller, Efficient and fully automatic segmentation of the lungs in CT volumes, in: Proceedings of the VISCERAL Anatomy Grand Challenge at the 2015 IEEE ISBI, New York, USA, pages 31-35, CEUR-WS, 2015

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Yashin Dicente Cid, Oscar Jimenez del Toro, Alexandra Platon, Henning Müller and Pierre-Alexandre Poletti, From Local to Global: A Holistic Lung Graph Model, in: MICCAI 2018, Granada, Spain, 2018

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Yashin Dicente Cid, Oscar Jimenez del Toro, Pierre-Alexandre Poletti and Henning Müller, A Graph Model of the Lungs with Morphology-based Structure for Tuberculosis Type Classification, in: The 26th International Conference on Information Processing in Medical Imaging (IPMI), 2019

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Yashin Dicente Cid, Vitali Liauchuk, Dzmitri Klimuk, Aleh Tarasau, Vassili Kovalev and Henning Müller, Overview of ImageCLEFtuberculosis 2019 --- Automatic CT--based Report Generation and Tuberculosis Severity Assessment, in: CLEF working notes, Lugano, Switzerland, 2019

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Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev and Henning Müller, Overview of ImageCLEFtuberculosis 2018 - Detecting multi-drug resistance, classifying tuberculosis type, and assessing severity score, in: CLEF working notes, CEUR, 2018

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Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev and Henning Müller, Overview of ImageCLEF 2017 Tuberculosis Task – Predicting Tuberculosis Type and Drug Resistances, in: CLEF 2017 working Notes, Dublin Ireland, CEUR, 2017

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Yashin Dicente Cid, Artem Mamonov, Armin Thomas, Vassili Kovalev, Jayashree Kalpathy-Cramer and Henning Müller, Making Sense of Large Data Sets without Annotations: Analyzing Age–related Correlations from Lung CT Scans, in: SPIE Medical Imaging, SPIE, 2017

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Yashin Dicente Cid and Henning Müller, Lung Graph-Model Classification with SVM and CNN for Tuberculosis Severity Assessment and Automatic CT Report Generation, in: CLEF working notes 2019, Lugano Switzerland, 2019

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Yashin Dicente Cid and Henning Müller, Texture-based Graph Model of the Lungs for Drug Resistance Detection, Tuberculosis Type Classification, and Severity Scoring: Participation in ImageCLEF 2018 Tuberculosis Task, in: CLEF working notes, Avignon, France, CEUR, 2018

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Yashin Dicente Cid, Henning Müller and Kayhan Batmanghelich, BatmanLab in the ImageCLEF Tuberculosis task 2017, in: ImageCLEF working Notes, Dublin, Ireland, 2017

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Yashin Dicente Cid, Henning Müller, Alexandra Platon, Jean-Paul Janssens, Lador Frédéric, Pierre-Alexandre Poletti and Adrien Depeursinge, A Lung Graph-Model for Pulmonary Hypertension and Pulmonary Embolism Detection on DECT images, in: MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data, pages 58-68, 2016

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Yashin Dicente Cid, Henning Müller, Alexandra Platon, Pierre-Alexandre Poletti and Adrien Depeursinge, 3-D Solid Texture Classification Using Locally-Oriented Wavelet Transforms (2017), in: IEEE Transactions on Image Processing, 26:4(1899-1910)

[]: IF 2015 = 3.735
[]: Matlab code available! click on this entry to download the library.

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Yashin Dicente Cid, Oula Puonti, Alexandra Platon, Pierre-Alexandre Poletti, Koen Van Leemput and Henning Müller, An Automatically Generated Texture-based Atlas of the Lungs, in: SPIE Medical Imaging, SPIE, 2018

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Yashin Dicente Cid, Roger Schaer and Adrien Depeursinge, QuantImage: An Online Tool for High-Throughput 3D Radiomics Feature Extraction in PET-CT, Demonstration at SPIE MI 2017, 2017

[]: https://radiomics.hevs.ch

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Alba García Seco de Herrera, Bogdan Ionescu, Henning Müller, Renaud Péteri, Asma Ben Abacha, Christoph M Friedrich, Johannes Rückert, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Serge Kozlovski, Vitali Liauchuk, Yashin Dicente Cid, Kovalev Vassili, Jon Chamberlain, Adrian Clark, Antonio Campello, Hugo Schindler, Jerome Deshayes, Adrian Popescu, Liviu Daniel Stefan, Mihai Gabriel Constantin and Mihai Dogariu, ImageCLEF 2022: Multimedia Retrieval in Medical, Nature, Fusion, and Internet Applications, in: European Conference on Information Retrieval, Springer, pages 382--389, 2022

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Bogdan Ionescu, Henning Müller, Alba García Seco de Herrera, Vincent Andrearczyk, Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev, Sadid A. Hasan, Yuan Ling, Oladimeji Farri, Joey Liu, Matthew Lungren, Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Liting Zhou, Mathias Lux, Cathal Gurrin, Adrian Clarck, Jon Chamberlain, Konstantinos Karampidis, Nikos Vasillopoulos, Carlos Roberto del Blanco, Carlos Cuevas Rodriguez, Ergina Kavallieratou and Narciso Garcia, ImageCLEF 2019: Multimedia Retrieval in Medical Nature, Security and Lifelogging Applications, in: ECIR 2019, Cologne, Germany, 2019

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Bogdan Ionescu, Henning Müller, Renaud Péteri, Asma Ben Abacha, Vivek Datla, Sadid A. Hasan, Dina Demner-Fushman, Serge Kozlovski, Vitali Liauchuk, Yashin Dicente Cid, Vassili Kovalev, Obioma Pelka, Christoph M. Friedrich, Alba García Seco de Herrera, Van-Tu Ninh, Tu-Khiem Le, Liting Zhou, Luca Piras, Michael Riegler, Pal Halvorsen, Minh-Triet Tran, Mathias Lux, Cathal Gurrin, Duc-Tien Dang-Nguyen, Jon Chamberlain, Adrian Clark, Antonio Campello, Dimitri Fichou, Raul Berari, Paul Brie, Mihai Dogariu, Liviu Daniel Stefan and Mihai Gabriel Constantin, Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical Lifelogging, Nature and Internet Applications, in: CLEF Proceedings, 2020

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Bogdan Ionescu, Henning Müller, Renaud Péteri, Asma Ben Abacha, Dina Demner-Fushman, Sadid A. Hasan, Mourad Sarrouti, Obioma Pelka, Christoph Friedrich, Alba García Seco de Herrera, Janadhip Jacutprakart, Vassili Kovalev, Serge Kozlovski, Vitali Liauchuk, Yashin Dicente Cid, Jon Chamberlain, Adrian Clark, Antonio Campello, Hassan Moustahfid, Thomas Oliver, Abigail Schulz, Paul Brie, Raul Berari, Dimitri Fichou, Andrei Tautenau, Mihai Dogariu, Liviu Daniel Stefan, Mihai gabriel, Jerome Deshayes and Adrian Popescu, The 2021 ImageCLEF Benchmark: Multimedia Retrieval in Medical, Nature, Internet and Social Media Applications, in: European Conference on Information Retrieval, Springer, 2021

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Bogdan Ionescu, Henning Müller, Renaud Péteri, Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev, Dzmitri Klimuk, Aleh Tarasau, Asma Ben Abacha, Sadid A. Hasan, Vivek Datla, Joey Liu, Dina Demner-Fushman, Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Minh-Triet Tran, Mathias Lux, Cathal Gurrin, Obioma Pelka, Christoph M. Friedrich, Alba García Seco de Herrera, Narciso Garcia, Ergina Kavallieratou, Carlos Roberto del Blanco, Carlos Cuevas Rodriguez, Nikos Vasillopoulos, Konstantinos Karampidis, Jon Chamberlain, Adrian Clark and Antonio Campello, ImageCLEF 2019: Multimedia Retrieval in Lifelogging, Medical, Nature and Security Applications, in: CLEF conference Proceedings, Lugano, Switzerland, Springer LNCS, 2019

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Bogdan Ionescu, Henning Müller, Renaud Péteri, Johannes Rückert, Asma Ben Abacha, Alba García Seco de Herrera, Christoph M. Friedrich, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Serge Kozlovski, Yashin Dicente Cid, Vassili Kovalev, Liviu-Daniel Stefan, Mihai Gabriel Constantin, Mihai Dogariu, Adrian Popescu, Jerome Deshayes, Hugo Schindler, Jon Chamberlain, Antonio Campello and Adrian Clark, Overview of the ImageCLEF 2022: Multimedia Retrieval in Medical, Social Media and Nature Applications, in Experimental IR Meets Multilinguality, Multimodality, and Interaction, in: CLEF 2022 Proceedings, Springer, 2022

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Bogdan Ionescu, Henning Müller, Mauricio Villegas, Herbert Arenas, Giulia Boato, Duc-Tien Dang-Nguyen, Yashin Dicente Cid, Carsten Eickhoff, Alba García Seco de Herrera, Cathal Gurrin, Bayzidul Islam, Vassili Kovalev, Vitali Liauchuk, Josiane Mothe, Luca Piras, Michael Riegler and Immanuel Schwall, Overview of ImageCLEF 2017: Information extraction from images, in: CLEF Proceedings, 2017

[]: IF 2005=0.402

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Bogdan Ionescu, Henning Müller, Mauricio Villegas, Alba García Seco de Herrera, Carsten Eickhoff, Vincent Andrearczyk, Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev, Sadid A. Hasan, Yuan Ling, Oladimeji Farri, Joey Liu, Matthew Lungren, Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Liting Zhou, Mathias Lux and Cathal Gurrin, Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation, in: CLEF conference proceeding, Avignon, France, Springer, 2018

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Oscar Jimenez del Toro, Pol Cirujeda, Yashin Dicente Cid and Henning Müller, RadLex Terms and Local Texture Features for Multimodal Medical Case Retrieval, in: Multimodal Retrieval in the Medical Domain (MRMD) 2015, Vienna, Austria, Springer, 2015

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Oscar Jimenez del Toro, Yashin Dicente Cid, Adrien Depeursinge and Henning Müller, Hierarchic Anatomical Structure Segmentation Guided by Spatial Correlations (AnatSeg-Gspac): VISCERAL Anatomy3, in: Proceedings of the VISCERAL Anatomy Grand Challenge at the 2015 IEEE ISBI, pages 22-26, CEUR-WS, 2015

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Oscar Jimenez del Toro, Abdel Aziz Taha, Katharina Gruenberg, Markus Krenn, Marianne Winterstein, Henning Müller, Orcun Goksel, Bjoern Menze, Georg Langs, Marc André Weber, Tomas Salas Fernandez, Antonio Foncubierta-Rodríguez, Ivan Eggel, Roger Schaer, András Jakab, Georgios Kontokotsios, Mohammad A. Dabbah, Yashin Dicente Cid, Tobias Gass, Mattias Heinrich, Fucang Jia, Fredrik Kahl, Razmig Kechichian, Dominic Mai, Assaf B. Spanier, Graham Vincent, Chunliang Wang and Allan Hanbury, Cloud–based Evaluation of Organ Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks (2016), in: IEEE Transactions on Medical Imaging

[]: IF 2016=3.76

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Oscar Jimenez del Toro, Yashin Dicente Cid, Alexandra Platon, Anne-Lise Hachulla, Lador Frédéric, Pierre-Alexandre Poletti and Henning Müller, A lung graph model for the radiological assessment of chronic thromboembolic pulmonary hypertension in CT (2020), in: Computers in Biology and Medicine(103962)

[]: (IF 2019: 3.434)

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Serge Kozlovski, Yashin Dicente Cid, Vassili Kovalev and Henning Müller, Overview of ImageCLEFtuberculosis 2022 -- CT-based Caverns Detection and Report, in: CLEF working Notes, 2022

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Serge Kozlovski, Yashin Dicente Cid, Vassili Kovalev and Henning Müller, Overview of ImageCLEFtuberculosis 2022: CT-based cavern detection and report, in: Proceedings of CLEF (Conference and Labs of the Evaluation Forum) 2022 Working Notes, 2022

Serge Kozlovski, Vitali Liauchuk, Yashin Dicente Cid, Vassili Kovalev and Henning Müller, Overview of ImageCLEFtuberculosis 2021 - CT-based Tuberculosis Type Classification, in: CLEF working notes, 2021

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Serge Kozlovski, Vitali Liauchuk, Yashin Dicente Cid, Aleh Tarasau, Vassili Kovalev and Henning Müller, Overview of ImageCLEFtuberculosis 2020: Automatic CT-based report generation, in: CLEF working notes, CEUR, 2020

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Roger Schaer, Yashin Dicente Cid, Emel Alkim, Sheryl John, Daniel L. Rubin and Adrien Depeursinge, Web-Based Tools for Exploring the Potential of Quantitative Imaging Biomarkers in Radiology: Intensity and Texture Analysis on the ePAD Platform, in: Biomedical Texture Analysis: Fundamentals, Applications and Tools, pages 379-410, Elsevier, 2017

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Nathaniel Scher, Fernanda Herrera, Adrien Depeursinge, Yashin Dicente Cid, Roger Schaer, T. Breuneval, J. Bourhis, John O. Prior, Esat Ozsahin and Joel Castelli, Nouveaux paramètres métaboliques du FDG-PET/TDM pour prédire la récurrence et la survie des cancers du col utérin traité par radio-chimiothérapie, in: Société Française de radiothérapie Oncologique, 2017

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Liviu-Daniel Stefan, Yashin Dicente Cid, Oscar Jimenez del Toro, Bogdan Ionescu and Henning Müller, Finding and Classifying Tuberculosis Types for a Targeted Treatment: MedGIFT--UPB Participation in the ImageCLEF 2017 tuberculosis Task, in: ImageCLEF working Notes 2017, Dublin, Ireland, 2017

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Guillaume Vanoost, Yashin Dicente Cid, Daniel L. Rubin and Adrien Depeursinge, A lung graph model for the classification of interstitial lung disease on CT images, in: SPIE Medical Imaging 2019: Computer-Aided Diagnosis, International Society for Optics and Photonics, pages 869-876, SPIE, 2019

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Marek Wodzinski, Tommaso Banzato, Manfredo Atzori, Vincent Andrearczyk, Yashin Dicente Cid and Henning Müller, Training a deep neural network for small and highly heterogeneous MRID datasets for cancer grading, in: EMBC Conference, IEEE, 2020

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