Risultati finali Documents, reports (7) ESRs definition and advertisement Definition of the different ESRs profiles and advertisements Report on network‐wide training events_v2 Report including the network training events carried out in the period Metadata standardization strategy and database Collection of a substantial reference and anonymized data set of WSIs for a subset of cancer types and subsequent annotation with clinically relevant multidisciplinary information Description of metadata to be included as part of the reference dataset Description of metadata standardization strategy Report on network‐wide training events_v1 Report including the network training events carried out in the period CLARIFY repositories for open access Definition of CLARIFYs open access policies and procedures to store and preserve CLARIFYs data in selected repositories Recruitment completion List of the recruited ESRs WSI preprocessing and standardization protocol Description of WSI preprocessing algorithms and standardization protocol to be used Websites, patent fillings, videos etc. (1) CLARIFY Website Website of the ITN Pubblicazioni Conference proceedings (23) Residual block Convolutional Auto Encoder in Content-Based Medical Image Retrieval Autori: Zahra Tabatabaei; Adrián Colomer; Kjersti Engan; Javier Oliver; Valery Naranjo Pubblicato in: 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP) proceedings, Numero June 2022, 2023, ISBN 978-1-6654-7822-9 Editore: IEEE DOI: 10.1109/ivmsp54334.2022.9816325 DID-eFed: Facilitating Federated Learning as a Service with Decentralized Identities Autori: Jiahui Geng; Neel Kanwal; Martin Gilje Jaatun; Chunming Rong Pubblicato in: Proceedings of EASE 2021: Evaluation and Assessment in Software Engineering, Numero June 21–23, 2021, 2021, Pagina/e 329–335, ISBN 978-1-4503-9053-8 Editore: ACM DOI: 10.1145/3463274.3463352 A Self-Training Weakly-Supervised Framework for Pathologist-Like Histopathological Image Analysis Autori: Laëtitia Launet; Adrián Colomer; Andrés Mosquera-Zamudio; Anaïs Moscardó; Carlos Monteagudo; Valery Naranjo Pubblicato in: 2022 IEEE International Conference on Image Processing (ICIP), Numero October 2022, 2022, ISBN 978-1-6654-9620-9 Editore: IEEE DOI: 10.1109/icip46576.2022.9897274 Federating Unlabeled Samples: A Semi-supervised Collaborative Framework for Whole Slide Image Analysis Autori: Laëtitia Launet, Rocío del Amor, Adrián Colomer, Andrés Mosquera-Zamudio, Anaïs Moscardó, Carlos Monteagudo, Zhiming Zhao & Valery Naranjo Pubblicato in: 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings, Numero November 2022, 2022, ISBN 978-3-031-21752-4 Editore: Springer DOI: 10.1007/978-3-031-21753-1_7 Towards a Service-based Adaptable Data Layer for Cloud Workflows Autori: Yuandou Wang; Nikita Janse; Riccardo Bianchi; Spiros Koulouzis; Zhiming Zhao Pubblicato in: 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC) proceedings, Numero June 2023, 2023, ISBN 979-8-3503-2697-0 Editore: IEEE DOI: 10.1109/compsac57700.2023.00121 CNSVRE: A Qery Reformulated Search System with ExplainableSummarization for Virtual Research Environment Autori: Na Li, Yangjun Zhang, Zhiming Zhao Pubblicato in: WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023 proceedings, Numero April 2023, 2023, Pagina/e 254–257, ISBN 978-1-4503-9419-2 Editore: Association for Computing Machinery DOI: 10.1145/3543873.3587360 A Dense Retrieval System and Evaluation Dataset for Scientific Computational Notebooks Autori: Na Li; Yangjun Zhang; Zhiming Zhao Pubblicato in: 2023 IEEE 19th International Conference on e-Science (e-Science) proceedings, Numero October 2023, 2023, ISBN 979-8-3503-2223-1 Editore: IEEE DOI: 10.1109/e-science58273.2023.10254859 A Survey on Dataset Distillation: Approaches, Applications and Future Directions Autori: Jiahui Geng, Zongxiong Chen, Yuandou Wang, Herbert Woisetschlaeger, Sonja Schimmler, Ruben Mayer, Zhiming Zhao, Chunming Rong Pubblicato in: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI), Numero August 2023, 2023, Pagina/e 6610-6618, ISBN 978-1-956792-03-4 Editore: International Joint Conferences on Artificial Intelligence DOI: 10.24963/ijcai.2023/741 FAIR-Cells: an interactive tool for enabling the FAIRness of code fragments in Jupyter notebooks Autori: Kruijer W., Wang Y., Koulouzis S., Li N., Bianchi R., Zhao Z. Pubblicato in: Proceedings of the International Conference of High-Performance Computing and Simulation (HPCS) (2020), 2021 Editore: IEEE Context-Aware Notebook Search in a Jupyter-Based Virtual Research Environment Autori: Na Li; Siamak Farshidi; Riccardo Bianchi; Spiros Koulouzis; Zhiming Zhao Pubblicato in: 2022 IEEE 18th International Conference on e-Science (e-Science) proceedings, Numero October 2022, 2022, ISBN 978-1-6654-6124-5 Editore: IEEE DOI: 10.1109/escience55777.2022.00054 Optimized Federated Learning on Class-biased Distributed Data Sources Autori: Yongli Mou, Jiahui Geng, Sascha Welten, Chunming Rong, Stefan Decker, and Oya Beyan Pubblicato in: Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2021), 2021 Editore: Springer Detection and Localization of Melanoma Skin Cancer in Histopathological Whole Slide Images Autori: Kanwal, Neel; Amundsen, Roger; Hardardottir, Helga; Tomasetti, Luca; Undersrud, Erling Sandoy; Janssen, Emiel A. M.; Engan, Kjersti Pubblicato in: Proceedings of European Signal Processing Conference (EUSIPCO), Numero 31, 2023, ISBN 978-9-4645-9360-0 Editore: European Association for Signal and Image Processing DOI: 10.23919/eusipco58844.2023.10290087 Decentralized workflow management on software defined infrastructures Autori: Yuandou Wang; Zhiming Zhao Pubblicato in: Proceedings of 2020 IEEE World Congress on Services (SERVICES), Numero 18-23 Oct. 2020, 2020, ISBN 978-1-7281-8204-9 Editore: IEEE DOI: 10.1109/services48979.2020.00059 CWL-FLOps: A Novel Method for Federated Learning Operations at Scale Autori: Chronis Kontomaris; Yuandou Wang; Zhiming Zhao Pubblicato in: 2023 IEEE 19th International Conference on e-Science (e-Science) proceedings, Numero October 2023, 2023, ISBN 979-8-3503-2223-1 Editore: IEEE DOI: 10.1109/e-science58273.2023.10254788 Challenging Mitosis Detection Algorithms: Global Labels Allow Centroid Localization Autori: Claudio Fernandez-Martín, Umay Kiraz, Julio Silva-Rodríguez, Sandra Morales, Emiel A. M. Janssen, Valery Naranjo Pubblicato in: 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings, Numero November 2022, 2022, ISBN 978-3-031-21752-4 Editore: Springer DOI: 10.1007/978-3-031-21753-1_47 pFedV: Mitigating Feature Distribution Skewness via Personalized Federated Learning with Variational Distribution Constraints Autori: Mou, Y., Geng, J., Zhou, F., Beyan, O., Rong, C., Decker, S Pubblicato in: 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25–28, 2023, Proceedings, Part II, Numero May 2023, 2023, Pagina/e 283-294, ISBN 978-3-031-33376-7 Editore: Springer DOI: 10.1007/978-3-031-33377-4_22 Combining Attention-Based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection Autori: Wu Y., Schmidt A., Hernández-Sánchez E., Molina R., Katsaggelos A.K. Pubblicato in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021., 2021, ISBN 978-3-030-87195-6 Editore: Springer Nature DOI: 10.1007/978-3-030-87196-3_54 Self-supervised learning of a tailored Convolutional Auto Encoder for histopathological prostate grading Autori: Zahra Tabatabaei; Adrián Colomer; Kjersti Engan; Javier Oliver; Valery Naranjo Pubblicato in: 2023 31st European Signal Processing Conference (EUSIPCO) proceedings, Numero November 2023, 2023, ISBN 978-9-4645-9360-0 Editore: IEEE DOI: 10.23919/eusipco58844.2023.10289741 Multi-Resolution Framework For Spitzoid Neoplasm Classification Using Histological Data Autori: Rocio del Amor, Francisco Javier Curieses, Laetitia Launet, Adrian Colomer, Anaís Moscardo, Andres Mosquera-Zamudio, Carlos Monteagudo, Valery Naranjo Pubblicato in: 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP) proceedings, Numero July 2022, 2022, ISBN 978-1-6654-7822-9 Editore: IEEE DOI: 10.1109/ivmsp54334.2022.9816260 Towards a Privacy-Preserving Distributed Cloud Service for Preprocessing Very Large Medical Images Autori: Yuandou Wang; Neel Kanwal; Kjersti Engan; Chunming Rong; Zhiming Zhao Pubblicato in: 2023 IEEE International Conference on Digital Health (ICDH), Numero July 2023, 2023, ISBN 979-8-3503-4103-4 Editore: IEEE DOI: 10.1109/icdh60066.2023.00055 A Deep Embedded Framework for Spitzoid Neoplasm Classification Using DNA Methylation Data Autori: del Amor, Rocío; Colomer, Adrián; Monteagudo, Carlos; Garzón, María José; García-Giménez, José Luis; Naranjo Ornedo, Valeriana Pubblicato in: Proceedings of the 2021 29th European Signal Processing Conference (EUSIPCO), Numero pp. 1271-1275, 2021 Editore: IEEE DOI: 10.23919/eusipco54536.2021.9616137 Attention to Detail: Inter-Resolution Knowledge Distillation Autori: del Amor, Rocío; Silva-Rodríguez, Julio; Colomer, Adrián; Naranjo, Valery Pubblicato in: Proceedings of the 2023 31st European Signal Processing Conference (EUSIPCO), Numero pp. 985-989, 2023 Editore: IEEE DOI: 10.23919/eusipco58844 Towards a Knowledge Graph Enhanced Automation and Collaboration Framework for Digital Twins Autori: Vasileios Christou; Yuandou Wang; Zhiming Zhao Pubblicato in: 2023 IEEE 19th International Conference on e-Science (e-Science) proceedings, Numero October 2023, 2023, ISBN 979-8-3503-2223-1 Editore: IEEE DOI: 10.1109/e-science58273.2023.10254845 Peer reviewed articles (26) Constrained Multiple Instance Learning for Ulcerative Colitis Prediction Using Histological Images Autori: Rocío del Amor; Pablo Meseguer; Tommaso Lorenzo Parigi; Vincenzo Villanacci; Adrián Colomer; Laëtitia Launet; Alina Bazarova; Gian Eugenio Tontini; Raf Bisschops; Gert de Hertogh; Jose G. Ferraz; Martin Götz; Xianyong Gui; Bu’Hussain Hayee; Mark Lazarev; Remo Panaccione; Adolfo Parra-Blanco; Pradeep Bhandari; Luca Pastorelli; Timo Rath; Elin Synnøve Røyset; Michael Vieth; Davide Zardo; Enr Pubblicato in: Computer Methods and Programs in Biomedicine, Numero Volume 224, September 2022, 107012, 2022, ISSN 0169-2607 Editore: Elsevier BV DOI: 10.1016/j.cmpb.2022.107012 Advancing Content-Based Histopathological Image Retrieval Pre-Processing: A Comparative Analysis of the Effects of Color Normalization Techniques Autori: Zahra Tabatabaei, Fernando Pérez Bueno, Adrián Colomer, Javier Oliver Moll, Rafael Molina, Valery Naranjo Pubblicato in: Applied Sciencies, Numero Volume 14, Numero 5, p2063 (Mar 2024), 2024, ISSN 2076-3417 Editore: MDPI DOI: 10.3390/app14052063 Whole-Exome Sequencing Reveals High Mutational Concordance between Primary and Matched Recurrent Triple-Negative Breast Cancers Autori: Kaur, J.; Chandrashekar, D.S.; Varga, Z.; Sobottka, B.; Janssen, E.; Gandhi, K.; Kowalski, J.; Kiraz, U.; Varambally, S.; Aneja, R. Pubblicato in: Genes, Numero Volume 14, Numero 9, p1690, 2023, ISSN 2073-4425 Editore: Multidisciplinary Digital Publishing Institute (MDPI) DOI: 10.3390/genes14091690 Notebook-as-a-VRE (NaaVRE): From private notebooks to acollaborative cloud virtual research environment Autori: Zhiming Zhao, Spiros Koulouzis, Riccardo Bianchi, Siamak Farshidi, Zeshun Shi, Ruyue Xin, Yuandou Wang, Na Li, Yifang Shi, Joris Timmermans, W. Daniel Kissling Pubblicato in: Software: Practice and Experience, Numero Volume 52, Numero 9, 2022, Pagina/e Pages 1903-2044, ISSN 0038-0644 Editore: John Wiley & Sons Inc. DOI: 10.1002/spe.3098 Uninformed Teacher-Student for hard-samples distillation in weakly supervised mitosis localization Autori: Claudio Fernandez-Martín, Julio Silva-Rodriguez, Umay Kiraz, Sandra Morales, Emiel A.M. Janssen, Valery Naranjo Pubblicato in: Computerized Medical Imaging and Graphics, Numero Volume 112 (Mar 2024), 2024, ISSN 0895-6111 Editore: Elsevier BV DOI: 10.1016/j.compmedimag.2024.102328 Scaling Notebooks as Re-configurable Cloud Workflows Autori: Yuandou Wang, Spiros Koulouzis, Riccardo Bianchi, Na Li, Yifang Shi, Joris Timmermans, W. Daniel Kissling, Zhiming Zha Pubblicato in: Data Intelligence, Numero Volume 4, Numero 2, 2022, ISSN 2641-435X Editore: MIT Press Direct DOI: 10.1162/dint_a_00140 Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer Autori: David B Page, Glenn Broeckx, Chowdhury Arif Jahangir, Sara Verbandt, Rajarsi R Gupta, Jeppe Thagaard, Reena Khiroya, Zuzana Kos, Khalid Abduljabbar, Gabriela Acosta Haab, Balazs Acs, Guray Akturk, Jonas S Almeida, Isabel Alvarado-Cabrero, Farid Azmoudeh-Ardalan, Sunil Badve, Nurkhairul Bariyah Baharun, Enrique R Bellolio, Vydehi Bheemaraju, Kim RM Blenman, Luciana Botinelly Mendonça Fujimoto, Naj Pubblicato in: The Journal of Pathology, Numero Volume 260, Numero 5, 514-532 (Aug 2023), 2023, ISSN 0022-3417 Editore: John Wiley & Sons Inc. DOI: 10.1002/path.6165 Toward More Transparent and Accurate Cancer Diagnosis With an Unsupervised CAE Approach Autori: Zahra Tabatabaei, Adrián Colomer, Javier Oliver Moll, Valery Naranjo Pubblicato in: IEEE Access, Numero Volume 11, p143387-143401 (Dec 2023), 2023, ISSN 2169-3536 Editore: Institute of Electrical and Electronics Engineers Inc. DOI: 10.1109/access.2023.3343845 WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval Autori: Tabatabaei Z, Wang Y, Colomer A, Oliver Moll J, Zhao Z, Naranjo V Pubblicato in: Bioengineering, Numero Volume 10, Numero 10, 1144, 2023, ISSN 2306-5354 Editore: MDPI DOI: 10.3390/bioengineering10101144 Artificial intelligence in computational pathology – challenges and future directions Autori: Sandra Morales; Kjersti Engan; Valery Naranjo Pubblicato in: Digital Signal Processing, Numero 103196, 2021, ISSN 1051-2004 Editore: Academic Press DOI: 10.1016/j.dsp.2021.103196 An Attention-based Weakly Supervised framework for Spitzoid Melanocytic Lesion Diagnosis in WSI Autori: del Amor, Rocío; Launet, Laëtitia; Colomer, Adrián; Moscardó, Anaïs; Mosquera-Zamudio, Andrés; Monteagudo, Carlos; Naranjo, Valery Pubblicato in: Artificial Intelligence in Medicine, Numero Volume 121, November 2021, 102197, 2021, ISSN 0933-3657 Editore: Elsevier BV DOI: 10.1016/j.artmed.2021.102197 A Deep Embedded Refined Clustering Approach for Breast Cancer Distinction based on DNA Methylation Autori: Rocío del Amor; Adrián Colomer; Carlos Monteagudo; Valery Naranjo Pubblicato in: Neural Computing and Applications, 2021, ISSN 0941-0643 Editore: Springer Verlag DOI: 10.1007/s00521-021-06357-0 Artificial intelligence in computational pathology – challenges and future directions Autori: Sandra Morales; Kjersti Engan; Valery Naranjo Pubblicato in: Digital Signal Processing, Numero Volume 119, December 2021, 103196, 2021, ISSN 1051-2004 Editore: Academic Press DOI: 10.1016/j.dsp.2021.103196 Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer Autori: Chowdhury Arif Jahangir, David B Page, Glenn Broeckx, Claudia A Gonzalez, Caoimbhe Burke, Clodagh Murphy, Jorge S Reis-Filho, Amy Ly, Paul W Harms, Rajarsi R Gupta, Michael Vieth, Akira I Hida, Mohamed Kahila, Zuzana Kos, Paul J van Diest, Sara Verbandt, Jeppe Thagaard, Reena Khiroya, Khalid Abduljabbar, Gabriela Acosta Haab, Balazs Acs, Sylvia Adams, Jonas S Almeida, Isabel Alvarado-Cabrero, Fari Pubblicato in: The Journal of Pathology, Numero Volume 262, Numero 3, p271-288 (Mar 2024), 2024, ISSN 0022-3417 Editore: John Wiley & Sons Inc. DOI: 10.1002/path.6238 OpenIaC: open infrastructure as code - the network is my computer Autori: Chunming Rong, Jiahui Geng, Thomas J. Hacker, Haakon Bryhni and Martin G. Jaatun Pubblicato in: Journal of Cloud Computing, Numero 11, Article number 12 (May 2022), 2022, ISSN 2193-1801 Editore: Springer Science and Business Media Deutschland GmbH DOI: 10.1186/s13677-022-00285-7 A Deep Embedded Refined Clustering Approach for Breast Cancer Distinction based on DNA Methylation Autori: Rocío del Amor; Adrián Colomer; Carlos Monteagudo; Valery Naranjo Pubblicato in: Neural Computing and Applications, 2021, ISSN 0941-0643 Editore: Springer Verlag DOI: 10.1007/s00521-021-06357-0 The Devil is in the Details: Whole Slide Image Acquisition and Processing for Artifacts Detection, Color Variation, and Data Augmentation: A Review Autori: Neel Kanwal; Fernando Perez-Bueno; Arne Schmidt; Kjersti Engan; Rafael Molina Pubblicato in: IEEE Access, Numero volume: 10, 2022, Pagina/e 58821 - 58844, ISSN 2169-3536 Editore: Institute of Electrical and Electronics Engineers Inc. DOI: 10.1109/access.2022.3176091 Deep Learning for Skin Melanocytic Tumors in Whole-Slide Images: A Systematic Review Autori: Mosquera-Zamudio, Andrés, Laëtitia Launet, Zahra Tabatabaei, Rafael Parra-Medina, Adrián Colomer, Javier Oliver Moll, Carlos Monteagudo, Emiel Janssen, and Valery Naranjo Pubblicato in: Cancers, Numero Number 15 Volume 1 p42, 2023, ISSN 2072-6694 Editore: Multidisciplinary Digital Publishing Institute (MDPI) DOI: 10.3390/cancers15010042 Federating Medical Deep Learning Models from Private Jupyter Notebooks to Distributed Institutions Autori: Launet, Laëtitia, Yuandou Wang, Adrián Colomer, Jorge Igual, Cristian Pulgarín-Ospina, Spiros Koulouzis, Riccardo Bianchi, Andrés Mosquera-Zamudio, Carlos Monteagudo, Valery Naranjo, Zhiming Zhao Pubblicato in: Applied Sciences, Numero Volume 13, Numero 2, p919 - January 2023, 2023, ISSN 2076-3417 Editore: MDPI AG DOI: 10.3390/app13020919 An Attention-based Weakly Supervised framework for Spitzoid Melanocytic Lesion Diagnosis in WSI Autori: del Amor, Rocío; Launet, Laëtitia; Colomer, Adrián; Moscardó, Anaïs; Mosquera-Zamudio, Andrés; Monteagudo, Carlos; Naranjo, Valery Pubblicato in: Artificial Intelligence in Medicine, Numero 102197, 2021, ISSN 0933-3657 Editore: Elsevier BV DOI: 10.1016/j.artmed.2021.102197 A novel self-learning framework for bladder cancer grading using histopathological images Autori: García-Pardo, José Gabriel; Esteve, Anna; Colomer, Adrián; Ramos, David; Naranjo Ornedo, Valeriana Pubblicato in: Computers in Biology and Medicine, Numero Volume 138, November 2021, 104932, 2021, ISSN 0010-4825 Editore: Pergamon Press Ltd. DOI: 10.1016/j.compbiomed.2021.104932 A Spitzoid Tumor dataset with clinical metadata and Whole Slide Images for Deep Learning models Autori: Andrés Mosquera-Zamudio, Laëtitia Launet, Rocío del Amor, Anaïs Moscardó, Adrián Colomer, Valery Naranjo, Carlos Monteagudo Pubblicato in: Scientific Data, Numero 10, Article number 704 (Oct 2023), 2023, ISSN 2052-4463 Editore: Nature Research DOI: 10.1038/s41597-023-02585-2 Efficient Cancer Classification by Coupling Semi Supervised and Multiple Instance Learning Autori: Arne Schmidt, Julio Silva-Rodríguez, Valery Naranjo, Rafael Molina Pubblicato in: IEEE Access, 2022, ISSN 2169-3536 Editore: Institute of Electrical and Electronics Engineers Inc. DOI: 10.1109/access.2022.3143345 Focused active learning for histopathological image classification Autori: Arne Schmidt, Pablo Morales-Álvarez, Lee AD Cooper, Lee A. Newberg, Andinet Enquobahrie, Rafael Molina, Aggelos K. Katsaggelos Pubblicato in: Medical Image Analysis, Numero Volume 95 (July 2024), 2024, ISSN 1361-8415 Editore: Elsevier BV DOI: 10.1016/j.media.2024.103162 Artificial Intelligence in Digital Pathology for Bladder Cancer: Hype or Hope? A Systematic Review Autori: Farbod Khoraminia,Saul Fuster, Neel Kanwal, Mitchell Olislagers,Kjersti Engan,Geert J. L. H. van Leenders, Andrew P. Stubbs, Farhan Akram, Tahlita C. M. Zuiverloon Pubblicato in: Cancers, Numero Volume 15, Numero 18, 2023, ISSN 2072-6694 Editore: Multidisciplinary Digital Publishing Institute (MDPI) DOI: 10.3390/cancers15184518 Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer Autori: Jeppe Thagaard, Glenn Broeckx, David B Page, Chowdhury Arif Jahangir, Sara Verbandt, Zuzana Kos, Rajarsi Gupta, Reena Khiroya, Khalid Abduljabbar, Gabriela Acosta Haab, Balazs Acs, Guray Akturk, Jonas S Almeida, Isabel Alvarado-Cabrero, Mohamed Amgad, Farid Azmoudeh-Ardalan, Sunil Badve, Nurkhairul Bariyah Baharun, Eva Balslev, Enrique R Bellolio, Vydehi Bheemaraju, Kim RM Blenman, Luciana Botinel Pubblicato in: The Journal of Pathology, Numero Volume 260, Numero 5, 498-513 (Aug 2023), 2023, ISSN 0022-3417 Editore: John Wiley & Sons Inc. DOI: 10.1002/path.6155 È in corso la ricerca di dati su OpenAIRE... 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