A comprehensive CAD system based on radiologic- and pathologic-image biomarkers for diagnosis and prognosis of breast cancer relapse

Deliverables

Classification of malign breast tissue regions and molecular subtypes

Report on the work of task 3.1, related to the detection and classification of malign breast tissue regions.

Methods for identifying aggressive cancer types

Report summarizing the work performed in task 3.4, on a mathematical model to identify the most aggressive cancer subtypes, from rediological images

Biopsies, WSI preparation and quality issues accuracy

Report summarizing the activities in task 4.1, related to the specific procedures that ensure the quality of biopsioes, stains and WSI imaging

Breast tissue density biomarker

Report containing the progress of task 3.3, related to the development of a visual biomarker of the breast tissue density, needed in order to classify the molecular subtype of the detected cancer

Publications

Efficient Generation of Synthetic Breast CT Slices By Combining Generative and Super-Resolution Models

Author(s): Zhikai Yang, Mehdi Astaraki, Örjan Smedby, Rodrigo Moreno
Published in: Lecture Notes in Computer Science, Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2025
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-77789-9_7

CE-DDIM: Conditional Efficient Diffusion Method for Cone-Beam CT Enhancement

Author(s): Zipei Zhang, Zhikai Yang, Mikko Saukkoriipi, Jaakko Sahlsten, Xinjue Wang, Rodrigo Moreno, Kimmo Kaski
Published in: ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026
Publisher: IEEE
DOI: 10.1109/ICASSP55912.2026.11464976

Vision Transformers for Breast Cancer Histology Image Classification

Author(s): Baroni, G.L., Rasotto, L., Roitero, K., Siraj, A.H., Della Mea, V
Published in: Lecture Notes in Computer Science, Issue 14366, 2024, ISBN 978-3-031-51025-0
Publisher: Springer
DOI: 10.1007/978-3-031-51026-7_2

Reconstruction of Breast Spectral CT with Multi-Material Decomposition using a Two-Stage Learned Primal-Dual Neural Network

Author(s): Zhikai Yang, Ruihan Huang, Örjan Smedby, and Rodrigo Moreno
Published in: Fully3D conference 2025, 2025
Publisher: Fully3D conference 2025

MM + CD Fusion: Deep Learning-based 3D Multi-Modal Fusion for Early Pathological Complete Response Prediction in Breast Cancer

Author(s): Tewele W. Tareke, Neree Payan, Alexandre Cochet, Alain Lalande, Fabrice Meriaudeau
Published in: Lecture Notes in Computer Science, Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2025
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-032-05559-0_14

Deep Learning based Tissue Specific MRI-IVIM Parameter Estimation

Author(s): Jingyu Liu, Zhikai Yang, Rodrigo Moreno
Published in: International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, Issue 5149, 2025
Publisher: ISMRM

Optimising Region of Interest Registration for Multiple-Tissue Whole Slide Images

Author(s): Alessio Fiorin, Laia Adalid Llansa, Elena Goyda, Vincenzo Della Mea, Anna Korzynska, Shrief Abdelazeez, Ramon Bosch Príncep, Alba Fischer Carles, Noelia Gallardo Borràs, Marylène Lejeune, Daniel Mata Cano, Domenec Puig, Hatem A. Rashwan, Esther Sauras Colón, Mikel Relloso Ortiz de Uriarte, Laia Reverté Calvet, Carlos López Pablo
Published in: Lecture Notes in Computer Science, Biomedical Image Registration, 2024
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-73480-9_26

Fine-tuning Specialized NER Model for Symptom Extraction from Slovenian Medical Texts

Author(s): Rigon Sallauka, Umut Arioz, Izidor Mlakar
Published in: 2024 9th International Conference on Mathematics and Computers in Sciences and Industry (MCSI), 2025
Publisher: IEEE
DOI: 10.1109/MCSI63438.2024.00032

Tumor-Aware Conditional Pix2PixHD with Per-Image Normalization for Virtual Contrast Enhancement in Breast MR

Author(s): Hong Jiang, Zhikai Yang, Rodrigo Moreno
Published in: Proc. 3rd Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in breast care, 2026
Publisher: Springer

Automated Radiomics Analysis from Multi-Modal Image Segmentation for Predicting Triple Negative Breast Cancer

Author(s): Tewele W. Tareke, Neree Payan, Alexandre Cochet, Yaqeen Ali, Laurent Arnould, Benoît Presles, Jean-Marc Vrigneaud, Fabrice Meriaudeau, Alain Lalande
Published in: 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025
Publisher: IEEE
DOI: 10.1109/EMBC58623.2025.11252611

Predicting pathological complete response in breast cancer using a dual 3D ResNet‑transformer architecture with multimodal data fusion

Author(s): Yaqeen Ali, Julia Müller, Tewele W. Tareke, Alain Lalande, Fabrice Meriaudeau, Johannes Gregori
Published in: Medical Imaging 2026: Computer-Aided Diagnosis, 2026
Publisher: SPIE
DOI: 10.1117/12.3087618

Multiscale Subtraction Consistency-based Generative Adversarial Networks for Contrast-Agent-Free Breast DCE-MRI Synthesis

Author(s): Zhikai Yang, Cristina Zhang, Muzhen He, Rodrigo Moreno
Published in: Proc. International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2026
Publisher: ISMRM

The BosomShield project: an integrative approach to diagnosis and prognosis of breast cancer relapse based on radiologic / pathologic image biomarkers

Author(s): Hatem A. Rashwan, Vincenzo Della Mea, Rodrigo Moreno, Ioannis Sechopoulos, Carlos López, Anna Korzyńska, Alain Lalande, Izidor Mlakar, Zouhair Haddi, Johannes Gregori, Domenec Puig
Published in: ECDP2023 19thEuropean Congress on Digital Pathology, 2023

Deep Learning-Driven Radiomic Feature Extraction for Predicting Complete Pathological Response to Neoadjuvant Chemotherapy in Breast Cancer from <sup>18</sup> F

Author(s): Tewele W. Tareke, Neree Payan, Alexandre Cochet, Laurent Arnould, Benoît Presles, Jean-Marc Vrigneaud, Soumya Ghose, Fabrice Meriaudeau, Alain Lalande
Published in: 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025
Publisher: IEEE
DOI: 10.1109/EMBC58623.2025.11253253

Multi-parametric MRI for Contrast Agent Free Breast DCE-MRI Synthesis

Author(s): Zhikai Yang, Cristina Zhang, Huijian Chen, Muzhen He, Rodrigo Moreno
Published in: Proc. MICCAI, 2026
Publisher: Springer

Lesion localization in digital breast tomosynthesis with deformable transformers by using 2.5D information

Author(s): Zhikai Yang, Tianyu Fan, Örjan Smedby, Rodrigo Moreno
Published in: Medical Imaging 2024: Computer-Aided Diagnosis, Issue 28, 2024
Publisher: SPIE
DOI: 10.1117/12.3005496

Memory Efficient Two-Stage Diffusion Model in Synthetic Breast Image Generation

Author(s): Zhikai Yang, Örjan Smedby, Rodrigo Moreno
Published in: European Conference of Radiology, 2024
Publisher: ECR
DOI: 10.26044/ecr2024/C-24121

Vision Transformers for Breast Cancer Classification

Author(s): G.L. Baroni, L. Rasotto, K. Roitero, A. Tulisso, M. Orsaria, C. Di Loreto, V. Della Mea
Published in: ECDP2024, 2024

Using simulated breast lesions based on Perlin noise for evaluation of lesion segmentation

Author(s): Hanna Tomic, Zhikai Yang, Anders Tingberg, Sophia Zackrisson, Rodrigo Moreno, Örjan Smedby, Magnus Dustler, Predrag Bakic
Published in: Medical Imaging 2024: Physics of Medical Imaging, Issue 10718, 2024
Publisher: SPIE
DOI: 10.1117/12.3008840

3D breast ultrasound image classification using 2.5D deep learning

Author(s): Zhikai Yang, Tianyu Fan, Örjan Smedby, Rodrigo Moreno
Published in: 17th International Workshop on Breast Imaging (IWBI 2024), 2024
Publisher: SPIE
DOI: 10.1117/12.3025534

Comparison of lesion segmentation methodsusing simulated DBT images

Author(s): Zhikai Yang, Hanna Tomic, Victor Dahlblom, Sophia Zackrisson, Anders Tingberg, Magnus Dustler, Örjan Smedby, Rodrigo Moreno and Predrag Bakic
Published in: Proceedings Virtual Imaging Trials in Medicine 2024, Issue Page 195, 2024
Publisher: VITM 2024
DOI: 10.48550/arXiv.2405.05359

Two-stage convolutional neural network for breast CT reconstruction

Author(s): Zhikai Yang, Yihan Xiao, Ozan Öktem, Örjan Smedby, Rodrigo Moreno
Published in: Medical Imaging 2025: Physics of Medical Imaging, 2025
Publisher: SPIE
DOI: 10.1117/12.3048825

Explainable and fair federated learning with XGBoost for predicting pathological complete response in breast cancer using multicenter DCE‑MRI data

Author(s): Yaqeen Ali, Julia Müller, Andreas Weinmann, Johannes Gregori
Published in: Medical Imaging 2026: Computer-Aided Diagnosis, 2026
Publisher: SPIE
DOI: 10.1117/12.3085564

Exploiting Multiple Phases of DCE MRI for Breast Cancer Pre-treatment Pathological Complete Response Prediction

Author(s): Zhikai Yang, Guangyuan Li,Örjan Smedby, Rodrigo Moreno
Published in: International Workshop on Breast Imaging, 2026
Publisher: SPIE

Physics-Informed Neural Network for T2 and M0 Map Estimation

Author(s): Zhikai Yang, Lorenzo Branca, Rodrigo Moreno
Published in: ESMRMB Annual Scientific Meeting 2023, 2023
Publisher: ESMRMB

Transformer-Based Foundation Model for Universal Ultrasound Image Analysis

Author(s): Zhikai Yang, Junjie Hu, Félix Nieto-del-Amor, Guangyuan Li, Rodrigo Moreno
Published in: 2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI), 2026
Publisher: IEEE
DOI: 10.1109/ISBI61048.2026.11515490

Leveraging MRI Radiomics and Machine Learning for Accurate Differentiation of Triple-Negative Breast Cancer Subtype

Author(s): Yaqeen Ali, Johannes Gregori, Tewele W. Tareke, Alain Lalande, Fabrice Meriaudeau
Published in: 2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS), 2025
Publisher: IEEE
DOI: 10.1109/CBMS65348.2025.00185

Scoping review: (Bio)markers for the prognostication of breast cancer recurrence

Author(s): Sallauka, Rigon; Horvat, Matej; Ravnik, Maja; Rashwan, Hatem; Arioz, Umut; Mlakar, Izidor
Published in: BMC Cancer, 2025
Publisher: SPRINGER NATURE LINK
DOI: 10.1186/S12885-025-14515-Z

Deep learning framework integrating 18F-FDG PET/CT and clinical data for early prediction of chemotherapy response in advanced breast cancer

Author(s): Tewele W. Tareke, Neree Payan, Alexandre Cochet, Alain Lalande, Fabrice Meriaudeau
Published in: Biomedical Signal Processing and Control, Issue 121, 2026, ISSN 1746-8094
Publisher: Elsevier BV
DOI: 10.1016/J.BSPC.2026.110254

MAIA: a collaborative medical AI platform for integrated healthcare innovation

Author(s): Simone Bendazzoli, Sanna Persson, Mehdi Astaraki, Sebastian Pettersson, Vitali Grozman, Rodrigo Moreno
Published in: npj Artificial Intelligence, Issue 1, 2025, ISSN 3005-1460
Publisher: Springer Science and Business Media LLC
DOI: 10.1038/S44387-025-00042-6

Enhancing AI Research for Breast Cancer: A Comprehensive Review of Tumor-Infiltrating Lymphocyte Datasets

Author(s): Alessio Fiorin; Carlos López Pablo; Marylène Lejeune; Ameer Hamza Siraj; Vincenzo Della Mea
Published in: Crossref, 2024
Publisher: SPRINGER NATURE
DOI: 10.1007/S10278-024-01043-8

Morphology-enhanced CAM-guided SAM for weakly supervised breast lesion segmentation

Author(s): Xin Yue, Qing Zhao, Xiaoling Liu, Jianqiang Li, Jing Bai, Changwei Song, Suqin Liu, Rodrigo Moreno, Zhikai Yang, Stefano E. Romero, Gabriel Jimenez, Guanghui Fu
Published in: Biomedical Signal Processing and Control, Issue 116, 2026, ISSN 1746-8094
Publisher: Elsevier BV
DOI: 10.1016/J.BSPC.2026.109509

Automatic computation of breast cancer biomarkers from multiple $$^{18}$$ F-FDG PET image segmentation

Author(s): Tewele W. Tareke, Neree Payan, Alexandre Cochet, Laurent Arnould, Benoît Presles, Jean-Marc Vrigneaud, Fabrice Meriaudeau, Alain Lalande
Published in: Scientific Reports, 2026, ISSN 2045-2322
Publisher: Springer Science and Business Media LLC
DOI: 10.1038/S41598-026-50945-W

Histological Hyperspectral Breast Cancer Recurrence Database (HistologyHSI-BC Recurrence)

Author(s): Laura Quintana-Quintana, Esther Sauras-Colón, Alessio Fiorin, Javier Santana-Nunez, Samuel Ortega, Noèlia Gallardo-Borràs, Alba Fischer-Carles, Tábata Sánchez-Alcántara, Himar Fabelo, Laia Adalid-Llansa, Daniel Mata-Cano, Ramon Bosch-Príncep, Marylène Lejeune, Gustavo M. Callico, Carlos López-Pablo
Published in: Scientific Data, Issue 12, 2025, ISSN 2052-4463
Publisher: Springer Science and Business Media LLC
DOI: 10.1038/S41597-025-06157-4

Influence of the Molecular Subtype-Dependent Immune Microenvironment of Metastatic Axillary Lymph Nodes on Breast Cancer Patient Outcomes

Author(s): Carlos López, Laia Reverté, Ramon Bosch Príncep, Esther Sauras, Noèlia Gallardo-Borràs, Alba Fischer-Carles, Anna Korzynska, Marcial García-Rojo, Gloria Bueno, Lukasz Roszkowiak, Albert Roso-LLorach, Andrea Gras Navarro, Montserrat Llobera, Daniel Mata, Laia Adalid Llansa, Salomé Martínez-González, Joan F. Garcia-Fontgivell, Meritxell Arenas, Junior Gómez, José Antonio Izuel, Jordi Baucells, Marylène Lejeune
Published in: Pathobiology, Issue 93, 2026, ISSN 1015-2008
Publisher: S. Karger AG
DOI: 10.1159/000550086

Weakly-Supervised Multilingual Medical NER for Symptom Extraction for Low-Resource Languages

Author(s): Rigon Sallauka, Umut Arioz, Matej Rojc, Izidor Mlakar
Published in: Applied Sciences, Issue 15, 2025, ISSN 2076-3417
Publisher: MDPI AG
DOI: 10.3390/APP15105585

Leveraging immune and clinicopathological profiles with machine learning to predict axillary lymph node metastasis in breast cancer patients

Author(s): Alba Fischer-Carles, Alessio Fiorin, Carlos López Pablo, Laia Reverté, Esther Sauras-Colón, Noèlia Gallardo-Borràs, Marylène Lejeune, Mikel Relloso Ortiz de Uriarte, Tábata Sánchez-Alcántara, Maria Ballester-Navarro, Ramon Bosch Príncep, Laia Adalid-Llansa, Elena Goyda, Daniel Mata Cano, Jérôme Noailly, Gemma Piella
Published in: Breast Cancer Research, Issue 28, 2026, ISSN 1465-542X
Publisher: Springer Science and Business Media LLC
DOI: 10.1186/S13058-026-02294-9

Optimizing Vision Transformers for Histopathology: Pretraining and Normalization in Breast Cancer Classification

Author(s): Giulia Lucrezia Baroni, Laura Rasotto, Kevin Roitero, Angelica Tulisso, Carla Di Loreto, Vincenzo Della Mea
Published in: Journal of Imaging, Issue 10, 2024, ISSN 2313-433X
Publisher: MDPI AG
DOI: 10.3390/jimaging10050108

Combining shallow and deep neural networks on pseudo-color enhanced images for digital breast tomosynthesis lesion classification

Author(s): Zhikai Yang, Yingqing Liu, Örjan Smedby, Rodrigo Moreno
Published in: Frontiers in Digital Health, Issue 7, 2026, ISSN 2673-253X
Publisher: Frontiers Media SA
DOI: 10.3389/FDGTH.2025.1705044

Enhancing AI Research for Breast Cancer: A Comprehensive Review of Tumor‑Infiltrating Lymphocyte Datasets

Published in: Journal of Imaging Informatics in Medicine, 2024, ISSN 2948-2933
Publisher: Springer
DOI: 10.1007/s10278-024-01043-8

FedGA: Genetic Algorithm-Guided Federated Learning for Medical Image Segmentation with Non-IID Features

Author(s): Faisal Ahmed, Rodrigo Moreno, David Sánchez, Zouhair Haddi, Josep Domingo-Ferrer
Published in: IEEE Journal of Biomedical and Health Informatics, 2026, ISSN 2168-2194
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/JBHI.2026.3676321

Performance of federated versus centralized learning for mammography classification across film–digital domain shift

Author(s): Yaqeen Ali, Julia Müller, Andreas Weinmann, Johannes Gregori
Published in: Frontiers in Digital Health, Issue 8, 2026, ISSN 2673-253X
Publisher: Frontiers Media SA
DOI: 10.3389/FDGTH.2026.1715858

Lightweight multiscale feature refinement network for breast cancer histopathology segmentation

Author(s): Zaka-Ud-Din Muhammad, Vincenzo Della Mea
Published in: Informatics in Medicine Unlocked, Issue 63, 2026, ISSN 2352-9148
Publisher: Elsevier BV
DOI: 10.1016/J.IMU.2026.101754

Longitudinal evaluation of tumor-infiltrating lymphocyte scoring using automated region of interest registration in breast cancer

Author(s): Alessio Fiorin, Laia Adalid-Llansa, Laia Reverté, Esther Sauras-Colón, Noèlia Gallardo-Borràs, Hatem A. Rashwan, Ramon Bosch-Príncep, Alba Fischer-Carles, Elena Goyda, Marylène Lejeune, Daniel Mata-Cano, Domènec Puig, Tábata Sánchez-Alcántara, Mikel Relloso Ortiz de Uriarte, Montserrat Llobera-Serentill, José Antonio Izuel-Navarro, Carlos López-Pablo
Published in: Breast Cancer Research, 2026, ISSN 1465-542X
Publisher: Springer Science and Business Media LLC
DOI: 10.1186/S13058-026-02333-5

A modular deep learning pipeline for stromal TILs scoring in breast cancer H&E slides

Author(s): Shrief Abdelazeez, Faisal Ahmed, Laia Adalid, Krzysztof Siemion, Carlos Lopez, Marylene Lejeune, Hatem Rashwan, Anna Korzynska
Published in: Computer Methods and Programs in Biomedicine, Issue 282, 2026, ISSN 0169-2607
Publisher: Elsevier BV
DOI: 10.1016/J.CMPB.2026.109374

Retrospective Case‐Cohort Study on Risk Factors for Developing Distant Metastases in Women With Breast Cancer

Author(s): Serena Bertozzi, Ambrogio Pietro Londero, Giovanni Vendramelli, Maria Orsaria, Laura Mariuzzi, Enrico Pegolo, Carla Di Loreto, Carla Cedolini, Vincenzo Della Mea
Published in: Cancer Medicine, Issue 14, 2025, ISSN 2045-7634
Publisher: Wiley
DOI: 10.1002/CAM4.70903

UWarp: A Whole Slide Image Registration Pipeline to Characterize Scanner-Induced Local Domain Shift

Author(s): Antoine Schieb, Bilal Hadjadji, Natalia Fernanda Valderrama Barrera, Daniel Tshokola Mweze, Valentin Derangère, Laurent Arnould, Sylvain Ladoire, Alain Lalande, Alessio Fiorin, Carlos López Pablo, Noèlia Gallardo-Borràs, Shrief Abdelazeez, Vincenzo Della Mea, Anna Korzyńska, Nathan Vinçon, Louis-Oscar Morel
Published in: IEEE Access, Issue 14, 2026, ISSN 2169-3536
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2026.3698161

AI-based framework pipeline for stromal tumor infiltrating lymphocytes quantification in H&E stained breast cancer histopathological images

Author(s): Shrief Abdelazeez, Alessio Fiorin, Vincenzo Della Mea, Laia Adalid, Krzysztof Siemion, Carlos Lopez, Marylene Lejeune, Anna Korzynska
Published in: Biomedical Signal Processing and Control, Issue 120, 2026, ISSN 1746-8094
Publisher: Elsevier BV
DOI: 10.1016/J.BSPC.2026.110003

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