Saul Fuster Navarro | University of Stavanger

Contact

Room: KE E-401

Department

Faculty of Science and Technology

Department of Electrical Engineering and Computer Science

About me

Saul Fuster Navarro is doing a Ph.D. in Science and Technology. He has done his Master of Telecommunications Engineering from Universitat Politècnica de València in 2019. He received his B.Sc. in Telecommunications Engineering in 2017. He is a Marie-Curie Early Stage Researcher (ESR) working under CLARIFY Project (EU Horizon 2020 Project).

CLARIFY’s main goal is to develop a robust automated digital diagnostic environment based on artificial intelligence and cloud-oriented data algorithms that facilitates whole-slide-image (WSI) interpretation and diagnosis everywhere with the aim of maximising the benefits of digital pathology and aiding pathologists in their daily work.

His research interests are in AI algorithms particularly with computer vision for gigapixel images. He is working on developing algorithms and systems to extract diagnostically relevant information for histological whole slide images (WSI) of non-muscle invasive bladder cancer (NMBC).

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Publications

Vitenskapelige publikasjoner

Fuster Navarro, Saul; Kiraz, Umay; Eftestøl, Trygve Christian; Janssen, Emiel; Engan, Kjersti

(2024)

NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning.

Bioengineering.

ISSN 2306-5354.

Volum 11.

Hefte 9.

DOI: 10.3390/bioengineering11090909

Bø-Sande, Marie; Benjaminsen, Edvin; Kanwal, Neel; Fuster Navarro, Saul; Hardardottir, Helga; Lundal, Ingrid; Janssen, Emiel; Engan, Kjersti

(2024)

A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics.

Proceedings of Machine Learning Research (PMLR).

ISSN 2640-3498.

s.20-26.

Khoraminia, Farbod; Fuster Navarro, Saul; Kanwal, Neel; Olislagers, Mitchell; Engan, Kjersti; Leenders, Geet J.L.H. Van; Stubbs, Andrew P; Akram, Farhan; Zuiverloon, Tahlita C.M.

(2023)

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

Cancers.

ISSN 2072-6694.

Volum 15.

Hefte 18.

DOI: 10.3390/cancers15184518

Andreassen, Christopher; Fuster Navarro, Saul; Hardardottir, Helga; Janssen, Emiel; Engan, Kjersti

(2023)

Deep Learning for Predicting Metastasis on Melanoma Wsis.

IEEE International Symposium on Biomedical Imaging.

ISSN 1945-7928.

DOI: 10.1109/ISBI53787.2023.10230474

Fuster Navarro, Saul; Khoraminia, Farbod; Eftestøl, Trygve Christian; Zuiverloon, Tahlita C M; Engan, Kjersti

(2023)

Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images.

European Signal Processing Conference.

ISSN 2076-1465.

s.1045-1049.

DOI: 10.23919/EUSIPCO58844.2023.10290058

Fuster Navarro, Saul; Khoraminia, Farbod; Kiraz, Umay; Kanwal, Neel; Kvikstad, Vebjørn; Eftestøl, Trygve Christian; Zuiverloon, Tahlita C M; Janssen, Emiel; Engan, Kjersti

(2022)

Invasive cancerous area detection in non-muscle invasive bladder cancer whole slide images. I: 2022 IEEE 14th image video and multidimensional signal processing workshop (IVMSP) : 26-29 June 2022 : Nafplio, Greece.

IEEE conference proceedings.

ISBN 9781665478229.

DOI: 10.1109/IVMSP54334.2022.9816352

Kanwal, Neel; Fuster Navarro, Saul; Khoraminia, Farbod; Zuiverloon, Tahlita C M; Chunming, Rong; Engan, Kjersti

(2022)

Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images. I: 2022 IEEE 14th image video and multidimensional signal processing workshop (IVMSP) : 26-29 June 2022 : Nafplio, Greece.

IEEE conference proceedings.

ISBN 9781665478229.

DOI: 10.1109/IVMSP54334.2022.9816283

Fuster Navarro, Saul; Eftestøl, Trygve Christian; Engan, Kjersti

(2022)

Nested multiple instance learning with attention mechanisms. I: Proceedings 21st IEEE international conference on machine learning and applications : ICMLA 2022.

IEEE conference proceedings.

ISBN 978-1-6654-6283-9.

s.220-225.

DOI: 10.1109/ICMLA55696.2022.00038

Formidling

Fuster Navarro, Saul; Eftestøl, Trygve Christian; Engan, Kjersti; Kiraz, Umay; Janssen, Emiel; Kvikstad, Vebjørn

(2022)

Towards Automatic Staging of Non-Muscle Invasive Bladder Cancer.

NORA 2022;

2022-06-09 - 2022-06-10.

Fuster Navarro, Saul; Eftestøl, Trygve Christian; Engan, Kjersti; Kiraz, Umay; Janssen, Emiel; Kvikstad, Vebjørn

(2022)

Towards Automatic Staging of NonMuscle Invasive Bladder Cancer.

hAIST 22;

2022-06-13 - 2022-06-14.

Fuster Navarro, Saul; Eftestøl, Trygve Christian; Engan, Kjersti; Kiraz, Umay; Kvikstad, Vebjørn; Janssen, Emiel

(2022)

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

IVMSP 2022;

2022-06-26 - 2022-06-29.

Fuster Navarro, Saul; Eftestøl, Trygve Christian; Engan, Kjersti

(2022)

Nested Multiple Instance Learning with Attention Mechanisms.

ICMLA 2022;

2022-12-12 - 2022-12-14.

Engan, Kjersti; Wetteland, Rune; Fuster Navarro, Saul; Kanwal, Neel

(2022)

Examples of artificial intelligence in computational pathology .

hAIst Conference – Health-related Artificial Intelligence in Stavanger;

2022-06-13 - 2022-06-14.

Fuster Navarro, Saul; Engan, Kjersti; Eftestøl, Trygve Christian

(2021)

A Nested Multiple Instance Learning Framework.

NOBIM 2021;

2021-09-13 - 2021-09-14.