Publications

​​Journal publications
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Claudio Fernandez-Martín, Julio Silva-Rodriguez, Umay Kiraz, Sandra Morales, Emiel A.M. Janssen, Valery Naranjo
Uninformed Teacher-Student for hard-samples distillation in weakly supervised mitosis localization.
Computerized Medical Imaging and Graphics, Volume 112, 2024, 102328. 

Kvikstad V, Lillesand M, Gudlaugsson E, Mangrud OM, Rewcastle E, Skaland I, Baak JPA, Janssen EAM.
Proliferation and immunohistochemistry for p53, CD25 and CK20 in predicting prognosis of non-muscle invasive papillary urothelial carcinomas.
PLoS One. 2024 Jan 26;19(1):e0297141.  

Jahangir CA, Page DB, Broeckx G, et al. 
Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer.
J Pathol. 2024 Jan 17.

Timothy B. Fisher, Geetanjali Saini, T. S. Rekha, Jayashree Krishnamurthy, Shristi Bhattarai, Grace Callagy, Mark Webber, Emiel A. M. Janssen, Jun Kong & Ritu Aneja. 
Digital image analysis and machine learning-assisted prediction of neoadjuvant chemotherapy response in triple-negative breast cancer.
Breast Cancer Res 26, 12 (2024).

Bhattarai S, Saini G, Li H, Duanmu H, Seth G, Fisher TB, Janssen EAM, Kiraz U, Kong J, Aneja R. 
Predicting neoadjuvant treatment response in triple-negative breast cancer using machine learning.
Accepted Diagnostics, December 2023

Kaur J, Chandrashekar DS, Varga Z, Sobottka B, Janssen E, Gandhi K, Kowalski J, Kiraz U, Varambally S, Aneja R.
Whole-Exome Sequencing Reveals High Mutational Concordance between Primary and Matched Recurrent Triple-Negative Breast Cancers.
Genes (Basel). 2023 Aug 25;14(9):1690.

N Kanwal, EAM Janssen, K Engan.
Balancing privacy and progress in artificial intelligence: Anonymization in histopathology for biomedical research and education.- arXiv preprint arXiv:2307.09426, 2023

Thagaard J, Broeckx G, Page DB, et al.
Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: a report of The International Immuno-Oncology Biomarker Working Group. 
J Pathol 2023; DOI:10.1002/path.6155.

Page D, Broeckx G, Jahangir C et al.
Spatial analyses of immune cell infiltration in cancer: current methods and future directions: a report of The International Immuno-Oncology Biomarker Working Group.
J Pathol 2023; DOI:10.1002/path.6165.

Emma Rewcastle, Einar Gudlaugsson, Melinda Lillesand, Ivar Skaland, Jan P.A. Baak, Emiel A.M. Janssen
Automated prognostic assessment of endometrial hyperplasia for progression risk evaluation using artificial intelligence.
Modern Pathology, Volume 36, Issue 5, May 2023, 100116.

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.

Mosquera-Zamudio A, Launet L, Tabatabaei Z, Parra-Medina R, Colomer A, Oliver Moll J, Monteagudo C, Janssen E, Naranjo V.
Deep Learning for Skin Melanocytic Tumors in Whole-Slide Images: A Systematic Review.
Cancers. 2023; 15(1):42.

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Conference pr​oceedings​

Theses

Jon Tveit (2023)
Machine learning, unsupervised learning and stain normalization in digital nephropathology
Master's thesis, University of Stavanger
Supervisors: Hrafn Weishaupt, Sabine Leh, Kjersti Engan
Link​​

Markus Hatlem (2023)
Digitizing pathology lab workflows using image processing and OCR
Master's thesis, University of Bergen​
Supervisor: Fazle Rabbi; Co-supervisors: Patrick Stünkel, Friedemann Leh​
Link

Marie Bø-Sande, Edvin Benjaminsen (2023)
Diagnosis, Localization, and Prognosis of Melanoma in WSIs with a Complete Pipeline by Digital Pathology
Master's thesis, University of Stavanger​
Supervisor: Kjersti Engan
Link​

Janne Kristin Hauglid (2022)
A ​web-based dashboard to facilitate progress management of pathology workflows
Master's thesis, University of Bergen
Supervisors: Yngve Lamo, Svein-Ivar Lillehaug​
Link​

Roger Amundsen (2022)​​​​​
Melanoma Diagnosis and Localization from Whole Slide Images using Convolutional Neural Networks
Master's thesis, University of Stavanger
Supervisor: Kjersti Engan; Co-supervisors: Emiel Janssen, Helga Hardardottir, Neel Kanwal​
Link

Christopher Andreassen (2022)
Melanoma prognosis prediction usin image processing and machine learning
Master's thesis, University of Stavanger​
Supervisor: Kjersti Engan; Co-supervisors: Emiel Janssen, Helga Hardardottir, Saul Fuster Navarro
Link​

​

Hovedoppgaver​​ (Cand.med.-degree programme)

Bjarte Herikstad Tveit (2022)
Detection of malignant melanoma cells in sentinel lymph nodes by automatic image analysis
University of Bergen
Supervisor: Sabine Leh; Co-supervisor: Hrafn Weishaupt​​

Abstracts​​

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