Uncertainty aware models for the diagnosis of primary and secondary skin tumours

Project PID2022-140189OB-C22: Modelos conscientes de la incertidumbre para el diagn�stico de tumores cut�neos primarios y secundarios

Part of the Coordinated Project Acercando la patolog�a computacional a la pr�ctica cl�nica: un sistema de IA para el diagn�stico de tumores cut�neos primarios y secundarios (ASSIST)

Journal Papers

R. del Amor, J. P�rez-Cano, M. L�pez-P�rez, L. Terradez, J. Aneiros-Fernandez, S. Morales, J. Mateos, R. Molina, and V. Naranjo, “Annotation Protocol and Crowdsourcing Multiple Instance Learning Classification of Skin Histological Images: the CR-AI4SkIN Dataset”, Artificial Intelligence in Medicine, vol. 145, 102686, November 2023.
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S. Yang, F. P�rez-Bueno, F. M. Castro-Mac�as, and R. Molina, and A. K. Katsaggelos, “BCD-net: Stain separation of histological images using deep variational Bayesian blind color deconvolution”, Digital Signal Processing Journal, vol. 145, February 2024.
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N. Kanwal, M. L�pez-P�rez, U. Kiraz, T. Zuiverloon, R. Molina, and K. Engan, “Are you sure it's an artifact? Artifact detection and uncertainty quantification in histological images”, Computerized Medical Imaging and Graphics, March 2024.
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M. L�pez-P�rez, P. Morales-�lvarez, L. Cooper, C. Felicelli, J Goldstein, B. Vadasz , R. Molina, and A.K. Katsaggelos, “Learning from crowds for automated histopathological image segmentation”, Computerized Medical Imaging and Graphics, vol. 112, 102327, March 2024.
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J. P�rez-Cano, Y. Wu, A. Schmidt, M. L�pez-P�rez, P. Morales-�lvarez, R. Molina, and A. K. Katsaggelos, “An End-to-end Approach to combine Attention feature extraction and Gaussian Process models for Deep Multiple Instance Learning”, Expert Systems With Applications, vol. 240, 122296, April 2024.
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F. M. Castro-Mac�as, P. Morales-�lvarez, Y. Wu, R. Molina, and A.K. Katsaggelos, “Hyperbolic Secant Representation of the Logistic Function: Application to Probabilistic Multiple Instance Learning for CT Intracranial Hemorrhage Detection”, Artificial Intelligence, June 2024.
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F. P�rez-Bueno, K. Engan, and R. Molina, “Robust blind color deconvolution and blood detection on histological images using Bayesian K-SVD”, Artificial Intelligence in Medicine, October 2024.
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Conference Papers

F. M. Castro-Mac�as, F. P�rez-Bueno, M. Vega, J. Mateos, R. Molina, and A. K. Katsaggelos, “Blind Color Deconvolution and Classification of Histological Images Using the Hyperbolic Secant Prior” in IEEE International Symposium on Biomedical Imaging, May 2024.
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Theses

A. Schmidt, Probabilistic Deep Learning for Histopathological Images: Overcoming the Labeling Bottleneck of Computer-Aided Diagnosis, Universidad de Granada, February 2024. Supervised by: R. Molina and P. Morales-�lvarez.
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