CLoud ARtificial Intelligence For pathologY

Deliverables

Definition of the different ESR's 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 multi-disciplinary 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 CLARIFY’s open access policies and procedures to store and preserve CLARIFY’s 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.

CLARIFY Website

Website of the ITN

Publications

Residual block Convolutional Auto Encoder in Content-Based Medical Image Retrieval

Author(s): Zahra Tabatabaei; Adrián Colomer; Kjersti Engan; Javier Oliver; Valery Naranjo
Published in: 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP) proceedings, Issue June 2022, 2023, ISBN 978-1-6654-7822-9
Publisher: IEEE
DOI: 10.1109/ivmsp54334.2022.9816325

DID-eFed: Facilitating Federated Learning as a Service with Decentralized Identities

Author(s): Jiahui Geng; Neel Kanwal; Martin Gilje Jaatun; Chunming Rong
Published in: Proceedings of EASE 2021: Evaluation and Assessment in Software Engineering, Issue June 21–23, 2021, 2021, Page(s) 329–335, ISBN 978-1-4503-9053-8
Publisher: ACM
DOI: 10.1145/3463274.3463352

A Self-Training Weakly-Supervised Framework for Pathologist-Like Histopathological Image Analysis

Author(s): Laëtitia Launet; Adrián Colomer; Andrés Mosquera-Zamudio; Anaïs Moscardó; Carlos Monteagudo; Valery Naranjo
Published in: 2022 IEEE International Conference on Image Processing (ICIP), Issue October 2022, 2022, ISBN 978-1-6654-9620-9
Publisher: IEEE
DOI: 10.1109/icip46576.2022.9897274

Federating Unlabeled Samples: A Semi-supervised Collaborative Framework for Whole Slide Image Analysis

Author(s): Laëtitia Launet, Rocío del Amor, Adrián Colomer, Andrés Mosquera-Zamudio, Anaïs Moscardó, Carlos Monteagudo, Zhiming Zhao & Valery Naranjo
Published in: 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings, Issue November 2022, 2022, ISBN 978-3-031-21752-4
Publisher: Springer
DOI: 10.1007/978-3-031-21753-1_7

Nested Multiple Instance Learning with Attention Mechanisms

Author(s): Fuster, Saul; Eftestøl, Trygve; Engan, Kjersti
Published in: International Conference on Machine Learning and Applications (ICMLA), Issue pp. 220-225, 2023, ISBN 978-1-6654-6283-9
Publisher: IEEE
DOI: 10.1109/icmla55696.2022.00038

Towards a Service-based Adaptable Data Layer for Cloud Workflows

Author(s): Yuandou Wang; Nikita Janse; Riccardo Bianchi; Spiros Koulouzis; Zhiming Zhao
Published in: 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC) proceedings, Issue June 2023, 2023, ISBN 979-8-3503-2697-0
Publisher: IEEE
DOI: 10.1109/compsac57700.2023.00121

CNSVRE: A Qery Reformulated Search System with ExplainableSummarization for Virtual Research Environment

Author(s): Na Li, Yangjun Zhang, Zhiming Zhao
Published in: WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023 proceedings, Issue April 2023, 2023, Page(s) 254–257, ISBN 978-1-4503-9419-2
Publisher: Association for Computing Machinery
DOI: 10.1145/3543873.3587360

Attention-based clinical note summarization

Author(s): Neel Kanwal, Giuseppe Rizzo
Published in: SAC '22: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, Issue April 2022, 2022, Page(s) 813-820
Publisher: Association for Computing Machinery
DOI: 10.1145/3477314.3507256

A Dense Retrieval System and Evaluation Dataset for Scientific Computational Notebooks

Author(s): Na Li; Yangjun Zhang; Zhiming Zhao
Published in: 2023 IEEE 19th International Conference on e-Science (e-Science) proceedings, Issue October 2023, 2023, ISBN 979-8-3503-2223-1
Publisher: IEEE
DOI: 10.1109/e-science58273.2023.10254859

A Survey on Dataset Distillation: Approaches, Applications and Future Directions

Author(s): Jiahui Geng, Zongxiong Chen, Yuandou Wang, Herbert Woisetschlaeger, Sonja Schimmler, Ruben Mayer, Zhiming Zhao, Chunming Rong
Published in: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI), Issue August 2023, 2023, Page(s) 6610-6618, ISBN 978-1-956792-03-4
Publisher: 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

Author(s): Kruijer W., Wang Y., Koulouzis S., Li N., Bianchi R., Zhao Z.
Published in: Proceedings of the International Conference of High-Performance Computing and Simulation (HPCS) (2020), 2021
Publisher: IEEE

Context-Aware Notebook Search in a Jupyter-Based Virtual Research Environment

Author(s): Na Li; Siamak Farshidi; Riccardo Bianchi; Spiros Koulouzis; Zhiming Zhao
Published in: 2022 IEEE 18th International Conference on e-Science (e-Science) proceedings, Issue October 2022, 2022, ISBN 978-1-6654-6124-5
Publisher: IEEE
DOI: 10.1109/escience55777.2022.00054

Optimized Federated Learning on Class-biased Distributed Data Sources

Author(s): Yongli Mou, Jiahui Geng, Sascha Welten, Chunming Rong, Stefan Decker, and Oya Beyan
Published in: Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2021), 2021
Publisher: Springer

Detection and Localization of Melanoma Skin Cancer in Histopathological Whole Slide Images

Author(s): Kanwal, Neel; Amundsen, Roger; Hardardottir, Helga; Tomasetti, Luca; Undersrud, Erling Sandoy; Janssen, Emiel A. M.; Engan, Kjersti
Published in: Proceedings of European Signal Processing Conference (EUSIPCO), Issue 31, 2023, ISBN 978-9-4645-9360-0
Publisher: European Association for Signal and Image Processing
DOI: 10.23919/eusipco58844.2023.10290087

Decentralized workflow management on software defined infrastructures

Author(s): Yuandou Wang; Zhiming Zhao
Published in: Proceedings of 2020 IEEE World Congress on Services (SERVICES), Issue 18-23 Oct. 2020, 2020, ISBN 978-1-7281-8204-9
Publisher: IEEE
DOI: 10.1109/services48979.2020.00059

Towards General Deep Leakage in Federated Learning

Author(s): Jiahui Geng, Yongli Mou, Feifei Li, Qing Li, Oya Beyan, Stefan Decker, Chunming Rong
Published in: Proceedings of the International Workshop on Trustable, Verifiable and Auditable Federated Learning in Conjunction with AAAI 2022 (FL-AAAI-22), Issue January 2022, 2022
Publisher: FL-AAAI-22 Proceedings
DOI: 10.48550/arxiv.2110.09074

CWL-FLOps: A Novel Method for Federated Learning Operations at Scale

Author(s): Chronis Kontomaris; Yuandou Wang; Zhiming Zhao
Published in: 2023 IEEE 19th International Conference on e-Science (e-Science) proceedings, Issue October 2023, 2023, ISBN 979-8-3503-2223-1
Publisher: IEEE
DOI: 10.1109/e-science58273.2023.10254788

Challenging Mitosis Detection Algorithms: Global Labels Allow Centroid Localization

Author(s): Claudio Fernandez-Martín, Umay Kiraz, Julio Silva-Rodríguez, Sandra Morales, Emiel A. M. Janssen, Valery Naranjo
Published in: 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings, Issue November 2022, 2022, ISBN 978-3-031-21752-4
Publisher: Springer
DOI: 10.1007/978-3-031-21753-1_47

pFedV: Mitigating Feature Distribution Skewness via Personalized Federated Learning with Variational Distribution Constraints

Author(s): Mou, Y., Geng, J., Zhou, F., Beyan, O., Rong, C., Decker, S
Published in: 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25–28, 2023, Proceedings, Part II, Issue May 2023, 2023, Page(s) 283-294, ISBN 978-3-031-33376-7
Publisher: Springer
DOI: 10.1007/978-3-031-33377-4_22

Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images

Author(s): Fuster, Saul; Khoraminia, Farbod; Eftestøl, Trygve; Zuiverloon, Tahlita C. M.; Engan, Kjersti
Published in: Proceedings of European Signal Processing conference, Issue pp. 1045-1049, 2023, ISBN 978-9-4645-9360-0
Publisher: IEEE
DOI: 10.23919/eusipco58844.2023.10290058

Combining Attention-Based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection

Author(s): Wu Y., Schmidt A., Hernández-Sánchez E., Molina R., Katsaggelos A.K.
Published in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021., 2021, ISBN 978-3-030-87195-6
Publisher: Springer Nature
DOI: 10.1007/978-3-030-87196-3_54

Balancing Privacy and Progress in Artificial Intelligence: Anonymization in Histopathology for Biomedical Research and Education

Author(s): Neel Kanwal; Emiel A. M. Janssen; Kjersti Engan
Published in: Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications, Issue pp 417–429, 2024, ISBN 978-981-99-9836-4
Publisher: Springer
DOI: 10.1007/978-981-99-9836-4_31

Self-supervised learning of a tailored Convolutional Auto Encoder for histopathological prostate grading

Author(s): Zahra Tabatabaei; Adrián Colomer; Kjersti Engan; Javier Oliver; Valery Naranjo
Published in: 2023 31st European Signal Processing Conference (EUSIPCO) proceedings, Issue November 2023, 2023, ISBN 978-9-4645-9360-0
Publisher: IEEE
DOI: 10.23919/eusipco58844.2023.10289741

Multi-Resolution Framework For Spitzoid Neoplasm Classification Using Histological Data

Author(s): Rocio del Amor, Francisco Javier Curieses, Laetitia Launet, Adrian Colomer, Anaís Moscardo, Andres Mosquera-Zamudio, Carlos Monteagudo, Valery Naranjo
Published in: 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP) proceedings, Issue July 2022, 2022, ISBN 978-1-6654-7822-9
Publisher: IEEE
DOI: 10.1109/ivmsp54334.2022.9816260

Vision Transformers for Small Histological Datasets Learned Through Knowledge Distillation

Author(s): Neel Kanwal; Trygve Eftestøl; Farbod Khoraminia; Tahlita C. M. Zuiverloon; Kjersti Engan
Published in: Advances in Knowledge Discovery and Data Mining, 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD, Issue pp 167–179, 2023, ISBN 978-3-031-33379-8
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-33380-4_13

Towards a Privacy-Preserving Distributed Cloud Service for Preprocessing Very Large Medical Images

Author(s): Yuandou Wang; Neel Kanwal; Kjersti Engan; Chunming Rong; Zhiming Zhao
Published in: 2023 IEEE International Conference on Digital Health (ICDH), Issue July 2023, 2023, ISBN 979-8-3503-4103-4
Publisher: IEEE
DOI: 10.1109/icdh60066.2023.00055

A Deep Embedded Framework for Spitzoid Neoplasm Classification Using DNA Methylation Data

Author(s): del Amor, Rocío; Colomer, Adrián; Monteagudo, Carlos; Garzón, María José; García-Giménez, José Luis; Naranjo Ornedo, Valeriana
Published in: Proceedings of the 2021 29th European Signal Processing Conference (EUSIPCO), Issue pp. 1271-1275, 2021
Publisher: IEEE
DOI: 10.23919/eusipco54536.2021.9616137

Attention to Detail: Inter-Resolution Knowledge Distillation

Author(s): del Amor, Rocío; Silva-Rodríguez, Julio; Colomer, Adrián; Naranjo, Valery
Published in: Proceedings of the 2023 31st European Signal Processing Conference (EUSIPCO), Issue pp. 985-989, 2023
Publisher: IEEE
DOI: 10.23919/eusipco58844

Towards a Knowledge Graph Enhanced Automation and Collaboration Framework for Digital Twins

Author(s): Vasileios Christou; Yuandou Wang; Zhiming Zhao
Published in: 2023 IEEE 19th International Conference on e-Science (e-Science) proceedings, Issue October 2023, 2023, ISBN 979-8-3503-2223-1
Publisher: IEEE
DOI: 10.1109/e-science58273.2023.10254845

Constrained Multiple Instance Learning for Ulcerative Colitis Prediction Using Histological Images

Author(s): 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
Published in: Computer Methods and Programs in Biomedicine, Issue Volume 224, September 2022, 107012, 2022, ISSN 0169-2607
Publisher: 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

Author(s): Zahra Tabatabaei, Fernando Pérez Bueno, Adrián Colomer, Javier Oliver Moll, Rafael Molina, Valery Naranjo
Published in: Applied Sciencies, Issue Volume 14, Issue 5, p2063 (Mar 2024), 2024, ISSN 2076-3417
Publisher: MDPI
DOI: 10.3390/app14052063

Whole-Exome Sequencing Reveals High Mutational Concordance between Primary and Matched Recurrent Triple-Negative Breast Cancers

Author(s): Kaur, J.; Chandrashekar, D.S.; Varga, Z.; Sobottka, B.; Janssen, E.; Gandhi, K.; Kowalski, J.; Kiraz, U.; Varambally, S.; Aneja, R.
Published in: Genes, Issue Volume 14, Issue 9, p1690, 2023, ISSN 2073-4425
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/genes14091690

Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images

Author(s): Pablo Morales-Álvarez, Arne Schmidt, José Miguel Hernández-Lobato, Rafael Molina
Published in: Pattern Recognition, Issue Volume 146, February 2024, 110057, 2023, ISSN 0031-3203
Publisher: Pergamon Press
DOI: 10.1016/j.patcog.2023.110057

Notebook-as-a-VRE (NaaVRE): From private notebooks to acollaborative cloud virtual research environment

Author(s): Zhiming Zhao, Spiros Koulouzis, Riccardo Bianchi, Siamak Farshidi, Zeshun Shi, Ruyue Xin, Yuandou Wang, Na Li, Yifang Shi, Joris Timmermans, W. Daniel Kissling
Published in: Software: Practice and Experience, Issue Volume 52, Issue 9, 2022, Page(s) Pages 1903-2044, ISSN 0038-0644
Publisher: John Wiley & Sons Inc.
DOI: 10.1002/spe.3098

Uninformed Teacher-Student for hard-samples distillation in weakly supervised mitosis localization

Author(s): Claudio Fernandez-Martín, Julio Silva-Rodriguez, Umay Kiraz, Sandra Morales, Emiel A.M. Janssen, Valery Naranjo
Published in: Computerized Medical Imaging and Graphics, Issue Volume 112 (Mar 2024), 2024, ISSN 0895-6111
Publisher: Elsevier BV
DOI: 10.1016/j.compmedimag.2024.102328

Scaling Notebooks as Re-configurable Cloud Workflows

Author(s): Yuandou Wang, Spiros Koulouzis, Riccardo Bianchi, Na Li, Yifang Shi, Joris Timmermans, W. Daniel Kissling, Zhiming Zha
Published in: Data Intelligence, Issue Volume 4, Issue 2, 2022, ISSN 2641-435X
Publisher: 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

Author(s): 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
Published in: The Journal of Pathology, Issue Volume 260, Issue 5, 514-532 (Aug 2023), 2023, ISSN 0022-3417
Publisher: John Wiley & Sons Inc.
DOI: 10.1002/path.6165

Toward More Transparent and Accurate Cancer Diagnosis With an Unsupervised CAE Approach

Author(s): Zahra Tabatabaei, Adrián Colomer, Javier Oliver Moll, Valery Naranjo
Published in: IEEE Access, Issue Volume 11, p143387-143401 (Dec 2023), 2023, ISSN 2169-3536
Publisher: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2023.3343845

Proportion constrained weakly supervised histopathology image classificationAuthor links open overlay panel

Author(s): Julio Silva-Rodríguez, Arne Schmidt, María A. Sales, Rafael Molina, Valery Naranjo
Published in: Computers in Biology and Medicine, Issue Volume 147, August 2022, 105714, 2022, ISSN 0010-4825
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2022.105714

WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval

Author(s): Tabatabaei Z, Wang Y, Colomer A, Oliver Moll J, Zhao Z, Naranjo V
Published in: Bioengineering, Issue Volume 10, Issue 10, 1144, 2023, ISSN 2306-5354
Publisher: MDPI
DOI: 10.3390/bioengineering10101144

An Attention-based Weakly Supervised framework for Spitzoid Melanocytic Lesion Diagnosis in WSI

Author(s): del Amor, Rocío; Launet, Laëtitia; Colomer, Adrián; Moscardó, Anaïs; Mosquera-Zamudio, Andrés; Monteagudo, Carlos; Naranjo, Valery
Published in: Artificial Intelligence in Medicine, Issue Volume 121, November 2021, 102197, 2021, ISSN 0933-3657
Publisher: Elsevier BV
DOI: 10.1016/j.artmed.2021.102197

A Deep Embedded Refined Clustering Approach for Breast Cancer Distinction based on DNA Methylation

Author(s): Rocío del Amor; Adrián Colomer; Carlos Monteagudo; Valery Naranjo
Published in: Neural Computing and Applications, 2021, ISSN 0941-0643
Publisher: Springer Verlag
DOI: 10.1007/s00521-021-06357-0

Artificial intelligence in computational pathology – challenges and future directions

Author(s): Sandra Morales; Kjersti Engan; Valery Naranjo
Published in: Digital Signal Processing, Issue Volume 119, December 2021, 103196, 2021, ISSN 1051-2004
Publisher: 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

Author(s): 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
Published in: The Journal of Pathology, Issue Volume 262, Issue 3, p271-288 (Mar 2024), 2024, ISSN 0022-3417
Publisher: John Wiley & Sons Inc.
DOI: 10.1002/path.6238

An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection

Author(s): Jose Pérez-Cano, Yunan Wu, Arne Schmidt, Miguel López-Pérez, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos
Published in: Expert Systems with Applications, Issue Volume 240, 15 April 2024, 122296, 2023, ISSN 0957-4174
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2023.122296

OpenIaC: open infrastructure as code - the network is my computer

Author(s): Chunming Rong, Jiahui Geng, Thomas J. Hacker, Haakon Bryhni and Martin G. Jaatun
Published in: Journal of Cloud Computing, Issue 11, Article number 12 (May 2022), 2022, ISSN 2193-1801
Publisher: Springer Science and Business Media Deutschland GmbH
DOI: 10.1186/s13677-022-00285-7

The Devil is in the Details: Whole Slide Image Acquisition and Processing for Artifacts Detection, Color Variation, and Data Augmentation: A Review

Author(s): Neel Kanwal; Fernando Perez-Bueno; Arne Schmidt; Kjersti Engan; Rafael Molina
Published in: IEEE Access, Issue volume: 10, 2022, Page(s) 58821 - 58844, ISSN 2169-3536
Publisher: 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

Author(s): Mosquera-Zamudio, Andrés, Laëtitia Launet, Zahra Tabatabaei, Rafael Parra-Medina, Adrián Colomer, Javier Oliver Moll, Carlos Monteagudo, Emiel Janssen, and Valery Naranjo
Published in: Cancers, Issue Number 15 Volume 1 p42, 2023, ISSN 2072-6694
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers15010042

Federating Medical Deep Learning Models from Private Jupyter Notebooks to Distributed Institutions

Author(s): Launet, Laëtitia, Yuandou Wang, Adrián Colomer, Jorge Igual, Cristian Pulgarín-Ospina, Spiros Koulouzis, Riccardo Bianchi, Andrés Mosquera-Zamudio, Carlos Monteagudo, Valery Naranjo, Zhiming Zhao
Published in: Applied Sciences, Issue Volume 13, Issue 2, p919 - January 2023, 2023, ISSN 2076-3417
Publisher: MDPI AG
DOI: 10.3390/app13020919

Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images

Author(s): Neel Kanwal, Miguel López-Pérez, Umay Kiraz, Tahlita C.M. Zuiverloon, Rafael Molina, Kjersti Engan
Published in: Computerized Medical Imaging and Graphics, Issue Volume 112, March 2024, 102321, 2023, ISSN 1879-0771
Publisher: Elsevier
DOI: 10.1016/j.compmedimag.2023.102321

A novel self-learning framework for bladder cancer grading using histopathological images

Author(s): García-Pardo, José Gabriel; Esteve, Anna; Colomer, Adrián; Ramos, David; Naranjo Ornedo, Valeriana
Published in: Computers in Biology and Medicine, Issue Volume 138, November 2021, 104932, 2021, ISSN 0010-4825
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2021.104932

Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection

Author(s): Miguel López-Pérez, Arne Schmidt, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
Published in: Computer Methods and Programs in Biomedicine, Issue Volume 219, June 2022, 106783, 2022, ISSN 0169-2607
Publisher: Elsevier BV
DOI: 10.1016/j.cmpb.2022.106783

A Spitzoid Tumor dataset with clinical metadata and Whole Slide Images for Deep Learning models

Author(s): Andrés Mosquera-Zamudio, Laëtitia Launet, Rocío del Amor, Anaïs Moscardó, Adrián Colomer, Valery Naranjo, Carlos Monteagudo
Published in: Scientific Data, Issue 10, Article number 704 (Oct 2023), 2023, ISSN 2052-4463
Publisher: Nature Research
DOI: 10.1038/s41597-023-02585-2

Efficient Cancer Classification by Coupling Semi Supervised and Multiple Instance Learning

Author(s): Arne Schmidt, Julio Silva-Rodríguez, Valery Naranjo, Rafael Molina
Published in: IEEE Access, 2022, ISSN 2169-3536
Publisher: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2022.3143345

Focused active learning for histopathological image classification

Author(s): Arne Schmidt, Pablo Morales-Álvarez, Lee AD Cooper, Lee A. Newberg, Andinet Enquobahrie, Rafael Molina, Aggelos K. Katsaggelos
Published in: Medical Image Analysis, Issue Volume 95 (July 2024), 2024, ISSN 1361-8415
Publisher: Elsevier BV
DOI: 10.1016/j.media.2024.103162

Artificial Intelligence in Digital Pathology for Bladder Cancer: Hype or Hope? A Systematic Review

Author(s): 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
Published in: Cancers, Issue Volume 15, Issue 18, 2023, ISSN 2072-6694
Publisher: 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

Author(s): 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
Published in: The Journal of Pathology, Issue Volume 260, Issue 5, 498-513 (Aug 2023), 2023, ISSN 0022-3417
Publisher: John Wiley & Sons Inc.
DOI: 10.1002/path.6155

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