CLoud ARtificial Intelligence For pathologY

Risultati finali

Report on network-wide training events_v4

Report including the network training events carried out in the period

Description of the content-based image retrieval algorithms to search for similar cases using the extracted features.

Significant feature extraction guidelines

Description of the guidelines to automatically extract significant features from WSI, which will be used to identify the characteristic patterns of the WSIs.

ESRs definition and advertisement

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.

Final conference

Final event to disseminate CLARIFY's results

Report on network-wide training events_v3

Report including the network training events carried out in the period

CLARIFY Website

Website of the ITN

Crowdsourcing models for automatic diagnosis

Description of the crowdsourcing models for automatic diagnosis taken into account extracted features and annotator's expertise

Digital pathology training roadmap

Report describing the digital pathology roadmap

Image retrieval tool

Description of the cloud-based platform developed able to manage large amounts of data referencing WSI with relevant metadata

Pubblicazioni

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

NFT as a proof of Digital Ownership-reward system integrated to a Secure Distributed Computing Blockchain Framework

Autori: Asahi Cantu; Jiahui Geng; Chunming Rong
Pubblicato in: Proceeding of the 2022 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Numero pp. 97-104, 2022
Editore: IEEE
DOI: 10.1109/cloudcom55334.2022.00024

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

Nested Multiple Instance Learning with Attention Mechanisms

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

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

Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentatio

Autori: Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina
Pubblicato in: 2023 IEEE/CVF International Conference on Computer Vision (ICCV), Numero pp. 21040-21049, 2023, ISBN 979-8-3503-0718-4
Editore: IEEE
DOI: 10.1109/iccv51070.2023.01929

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

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

Deep Learning for Predicting Metastasis on Melanoma WSIs

Autori: Christopher Andreassen; Saul Fuster; Helga Hardardottir; Emiel A.M. Janssen; Kjersti Engan
Pubblicato in: International Symposium on Biomedical Imaging (ISBI), 2023
Editore: IEEE
DOI: 10.1109/isbi53787.2023.10230474

Invasive Cancerous Area Detection in Non-Muscle Invasive Bladder Cancer Whole Slide Images

Autori: Saul Fuster; Farbod Khoraminia; Umay Kiraz; Neel Kanwal; Vebjørn Kvikstad; Trygve Eftestøl; Tahlita C.M. Zuiverloon; Kjersti Engan
Pubblicato in: Proceedings of IEEE IVMSP 2022, 2022
Editore: IEEE
DOI: 10.1109/ivmsp54334.2022.9816352

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

Ocean Data Quality Assessment through Outlier Detection-enhanced Active Learning

Autori: Na Li, Yiyang Qi, Ruyue Xin, Zhiming Zhao
Pubblicato in: Proceedings of 2023 IEEE International Conference on Big Data (BigData), Numero December 2023, 2023, ISBN 979-8-3503-2445-7
Editore: IEEE
DOI: 10.1109/bigdata59044.2023.10386969

Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images.

Autori: Neel Kanwal; Saul Fuster; Farbod Khoraminia; Tahlita C.M. Zuiverloon; Chunming Rong; Kjersti Engan
Pubblicato in: Proceedings of IEEE IVMSP 2022, 2022
Editore: IEEE
DOI: 10.1109/ivmsp54334.2022.9816283

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

Towards General Deep Leakage in Federated Learning

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

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

Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images

Autori: Fuster, Saul; Khoraminia, Farbod; Eftestøl, Trygve; Zuiverloon, Tahlita C. M.; Engan, Kjersti
Pubblicato in: Proceedings of European Signal Processing conference, Numero pp. 1045-1049, 2023, ISBN 978-9-4645-9360-0
Editore: IEEE
DOI: 10.23919/eusipco58844.2023.10290058

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

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

Autori: Neel Kanwal; Emiel A. M. Janssen; Kjersti Engan
Pubblicato in: Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications, Numero pp 417–429, 2024, ISBN 978-981-99-9836-4
Editore: Springer
DOI: 10.1007/978-981-99-9836-4_31

Blockchain-based Cross-organizational Workflow Platform

Autori: Jiahui Geng; Ali Akbar Rehman; Yongli Mou; Stefan Decker; Chunming Rong
Pubblicato in: Proceedings of the 2022 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Numero pp. 53-59, 2022
Editore: IEEE
DOI: 10.1109/cloudcom55334.2022.00018

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

Vision Transformers for Small Histological Datasets Learned Through Knowledge Distillation

Autori: Neel Kanwal; Trygve Eftestøl; Farbod Khoraminia; Tahlita C. M. Zuiverloon; Kjersti Engan
Pubblicato in: Advances in Knowledge Discovery and Data Mining, 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD, Numero pp 167–179, 2023, ISBN 978-3-031-33379-8
Editore: 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

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

Blockchain Empowered and Self-sovereign Access Control System

Autori: Hanif Tadjik; Jiahui Geng; Martin Gilje Jaatun; Chunming Rong
Pubblicato in: Proceedings of the 2022 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Numero pp. 74-82, 2022
Editore: IEEE
DOI: 10.1109/cloudcom55334.2022.00021

A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics

Autori: Bø-Sande, Marie; Benjaminsen, Edvin; Kanwal, Neel; Fuster, Saul; Hardardottir, Helga; Lundal, Ingrid; Janssen, Emiel A. M.; Engan, Kjersti
Pubblicato in: Northern Lights Deep Learning Conference (NLDL) 2024, 2024
Editore: OpenReview.net
DOI: 10.48550/arxiv.2312.08766

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

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

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

Autori: Pablo Morales-Álvarez, Arne Schmidt, José Miguel Hernández-Lobato, Rafael Molina
Pubblicato in: Pattern Recognition, Numero Volume 146, February 2024, 110057, 2023, ISSN 0031-3203
Editore: Pergamon Press
DOI: 10.1016/j.patcog.2023.110057

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

Probabilistic Attention Based on Gaussian Processes for Deep Multiple Instance Learning

Autori: A. Schmidt, P. Morales-Álvarez and R. Molina
Pubblicato in: IEEE Transactions on Neural Networks and Learning Systems, 2023, ISSN 2162-237X
Editore: IEEE Computational Intelligence Society
DOI: 10.1109/tnnls.2023.3245329

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

Proportion constrained weakly supervised histopathology image classificationAuthor links open overlay panel

Autori: Julio Silva-Rodríguez, Arne Schmidt, María A. Sales, Rafael Molina, Valery Naranjo
Pubblicato in: Computers in Biology and Medicine, Numero Volume 147, August 2022, 105714, 2022, ISSN 0010-4825
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2022.105714

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

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

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

Histological interpretation of spitzoid tumors: An extensive machine learning-based concordance analysis for improving decision making

Autori: Mosquera-Zamudio, A., Launet, L., Colomer, A., Wiedemeyer, K., López-Takegami, J.C., Palma, L.F., Undersrud, E., Janssen, E., Brenn, T., Naranjo, V., Monteagudo, C
Pubblicato in: Histopathology, 2024, ISSN 0309-0167
Editore: Blackwell Publishing Inc.
DOI: 10.1111/his.15187

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

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

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

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

Autori: Neel Kanwal, Miguel López-Pérez, Umay Kiraz, Tahlita C.M. Zuiverloon, Rafael Molina, Kjersti Engan
Pubblicato in: Computerized Medical Imaging and Graphics, Numero Volume 112, March 2024, 102321, 2023, ISSN 1879-0771
Editore: Elsevier
DOI: 10.1016/j.compmedimag.2023.102321

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

Autori: Miguel López-Pérez, Arne Schmidt, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
Pubblicato in: Computer Methods and Programs in Biomedicine, Numero Volume 219, June 2022, 106783, 2022, ISSN 0169-2607
Editore: Elsevier BV
DOI: 10.1016/j.cmpb.2022.106783

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

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