Enhancing AI Research for Breast Cancer: A Comprehensive Review of Tumor-Infiltrating Lymphocyte Datasets
Alessio Fiorin; Carlos López Pablo; Marylène Lejeune; Ameer Hamza Siraj; Vincenzo Della Mea
Crossref
Enhancing AI Research for Breast Cancer: A Comprehensive Review of Tumor‑Infiltrating Lymphocyte Datasets
Alessio Fiorin; Carlos López Pablo; Marylène Lejeune; Ameer Hamza Siraj; Vincenzo Della Mea
Journal of Imaging Informatics in Medicine
Optimizing Vision Transformers for Histopathology: Pretraining and Normalization in Breast Cancer Classification
Giulia Lucrezia Baroni, Laura Rasotto, Kevin Roitero, Angelica Tulisso, Carla Di Loreto, Vincenzo Della Mea
Journal of Imaging
3D breast ultrasound image classification using 2.5D deep learning
Zhikai Yang, Tianyu Fan, Örjan Smedby, Rodrigo Moreno
17th International Workshop on Breast Imaging (IWBI 2024)
Comparison of lesion segmentation methodsusing simulated DBT images
Zhikai Yang, Hanna Tomic, Victor Dahlblom, Sophia Zackrisson, Anders Tingberg, Magnus Dustler, Örjan Smedby, Rodrigo Moreno and Predrag Bakic
Proceedings Virtual Imaging Trials in Medicine 2024
Lesion localization in digital breast tomosynthesis with deformable transformers by using 2.5D information
Zhikai Yang, Tianyu Fan, Örjan Smedby, Rodrigo Moreno
Medical Imaging 2024: Computer-Aided Diagnosis
Memory Efficient Two-Stage Diffusion Model in Synthetic Breast Image Generation
Zhikai Yang, Örjan Smedby, Rodrigo Moreno
European Conference of Radiology
Physics-Informed Neural Network for T2 and M0 Map Estimation
Zhikai Yang, Lorenzo Branca, Rodrigo Moreno
ESMRMB Annual Scientific Meeting 2023
The BosomShield project: an integrative approach to diagnosis and prognosis of breast cancer relapse based on radiologic / pathologic image biomarkers
Hatem A. Rashwan, Vincenzo Della Mea, Rodrigo Moreno, Ioannis Sechopoulos, Carlos López, Anna Korzyńska, Alain Lalande, Izidor Mlakar, Zouhair Haddi, Johannes Gregori, Domenec Puig
ECDP2023 19thEuropean Congress on Digital Pathology
Using simulated breast lesions based on Perlin noise for evaluation of lesion segmentation
Hanna Tomic, Zhikai Yang, Anders Tingberg, Sophia Zackrisson, Rodrigo Moreno, Örjan Smedby, Magnus Dustler, Predrag Bakic
Medical Imaging 2024: Physics of Medical Imaging
Vision Transformers for Breast Cancer Classification
G.L. Baroni, L. Rasotto, K. Roitero, A. Tulisso, M. Orsaria, C. Di Loreto, V. Della Mea
ECDP2024
Vision Transformers for Breast Cancer Histology Image Classification
Baroni, G.L., Rasotto, L., Roitero, K., Siraj, A.H., Della Mea, V
Lecture Notes in Computer Science
A modular deep learning pipeline for stromal TILs scoring in breast cancer H&E slides
Shrief Abdelazeez, Faisal Ahmed, Laia Adalid, Krzysztof Siemion, Carlos Lopez, Marylene Lejeune, Hatem Rashwan, Anna Korzynska
Computer Methods and Programs in Biomedicine
AI-based framework pipeline for stromal tumor infiltrating lymphocytes quantification in H&E stained breast cancer histopathological images
Shrief Abdelazeez, Alessio Fiorin, Vincenzo Della Mea, Laia Adalid, Krzysztof Siemion, Carlos Lopez, Marylene Lejeune, Anna Korzynska
Biomedical Signal Processing and Control
Automatic computation of breast cancer biomarkers from multiple 18F-FDG PET image segmentation
Tewele W. Tareke, Neree Payan, Alexandre Cochet, Laurent Arnould, Benoît Presles, Jean-Marc Vrigneaud, Fabrice Meriaudeau, Alain Lalande
Scientific Reports
Combining shallow and deep neural networks on pseudo-color enhanced images for digital breast tomosynthesis lesion classification
Zhikai Yang, Yingqing Liu, Örjan Smedby, Rodrigo Moreno
Frontiers in Digital Health
Deep learning framework integrating 18F-FDG PET/CT and clinical data for early prediction of chemotherapy response in advanced breast cancer
Tewele W. Tareke, Neree Payan, Alexandre Cochet, Alain Lalande, Fabrice Meriaudeau
Biomedical Signal Processing and Control
DynamicBUS: Restoring Temporal Dynamics from Static Ultrasound for Improved Breast Cancer Diagnosis
Zhikai Yang, Yaofang Liu, Tianhao Bai, Ander Biguri, Haoyuan Chen, Yonghao Li, Carola-Bibiane Schönlieb, Örjan Smedby, Raymond Chan, Rodrigo Moreno
npj Breast Cancer
accepted
FedGA: Genetic Algorithm-Guided Federated Learning for Medical Image Segmentation with Non-IID Features
Faisal Ahmed, Rodrigo Moreno, David Sánchez, Zouhair Haddi, Josep Domingo-Ferrer
IEEE Journal of Biomedical and Health Informatics
Histological Hyperspectral Breast Cancer Recurrence Database (HistologyHSI-BC Recurrence)
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
Scientific Data
Influence of the Molecular Subtype-Dependent Immune Microenvironment of Metastatic Axillary Lymph Nodes on Breast Cancer Patient Outcomes
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
Pathobiology
Leveraging immune and clinicopathological profiles with machine learning to predict axillary lymph node metastasis in breast cancer patients
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
Breast Cancer Research
Lightweight multiscale feature refinement network for breast cancer histopathology segmentation
Zaka-Ud-Din Muhammad, Vincenzo Della Mea
Informatics in Medicine Unlocked
Longitudinal evaluation of tumor-infiltrating lymphocyte scoring using automated region of interest registration in breast cancer
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
Breast Cancer Research
MAIA: a collaborative medical AI platform for integrated healthcare innovation
Simone Bendazzoli, Sanna Persson, Mehdi Astaraki, Sebastian Pettersson, Vitali Grozman, Rodrigo Moreno
npj Artificial Intelligence
Morphology-enhanced CAM-guided SAM for weakly supervised breast lesion segmentation
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
Biomedical Signal Processing and Control
Performance of federated versus centralized learning for mammography classification across film–digital domain shift
Yaqeen Ali, Julia Müller, Andreas Weinmann, Johannes Gregori
Frontiers in Digital Health
Retrospective Case‐Cohort Study on Risk Factors for Developing Distant Metastases in Women With Breast Cancer
Serena Bertozzi, Ambrogio Pietro Londero, Giovanni Vendramelli, Maria Orsaria, Laura Mariuzzi, Enrico Pegolo, Carla Di Loreto, Carla Cedolini, Vincenzo Della Mea
Cancer Medicine
Scoping review: (Bio)markers for the prognostication of breast cancer recurrence
Sallauka, Rigon; Horvat, Matej; Ravnik, Maja; Rashwan, Hatem; Arioz, Umut; Mlakar, Izidor
BMC Cancer
UWarp: A Whole Slide Image Registration Pipeline to Characterize Scanner-Induced Local Domain Shift
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
IEEE Access
Weakly-Supervised Multilingual Medical NER for Symptom Extraction for Low-Resource Languages
Rigon Sallauka, Umut Arioz, Matej Rojc, Izidor Mlakar
Applied Sciences
Automated Radiomics Analysis from Multi-Modal Image Segmentation for Predicting Triple Negative Breast Cancer
Tewele W. Tareke, Neree Payan, Alexandre Cochet, Yaqeen Ali, Laurent Arnould, Benoît Presles, Jean-Marc Vrigneaud, Fabrice Meriaudeau, Alain Lalande
2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
CE-DDIM: Conditional Efficient Diffusion Method for Cone-Beam CT Enhancement
Zipei Zhang, Zhikai Yang, Mikko Saukkoriipi, Jaakko Sahlsten, Xinjue Wang, Rodrigo Moreno, Kimmo Kaski
ICASSP 2026 - IEEE International Conference on Acoustics, Speech and Signal Processing
Deep Learning based Tissue Specific MRI-IVIM Parameter Estimation
Jingyu Liu, Zhikai Yang, Rodrigo Moreno
International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting
online
Deep Learning-Driven Radiomic Feature Extraction for Predicting Complete Pathological Response to Neoadjuvant Chemotherapy in Breast Cancer from 18F-Fluorodeoxyglucose PET/CT Scans
Tewele W. Tareke, Neree Payan, Alexandre Cochet, Laurent Arnould, Benoît Presles, Jean-Marc Vrigneaud, Soumya Ghose, Fabrice Meriaudeau, Alain Lalande
2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Efficient Generation of Synthetic Breast CT Slices By Combining Generative and Super-Resolution Models
Zhikai Yang, Mehdi Astaraki, Örjan Smedby, Rodrigo Moreno
Lecture Notes in Computer Science, AI and Imaging for Diagnostic and Treatment Challenges in Breast Care
Explainable and fair federated learning with XGBoost for predicting pathological complete response in breast cancer using multicenter DCE‑MRI data
Yaqeen Ali, Julia Müller, Andreas Weinmann, Johannes Gregori
Medical Imaging 2026: Computer-Aided Diagnosis
Exploiting Multiple Phases of DCE MRI for Breast Cancer Pre-treatment Pathological Complete Response Prediction
Zhikai Yang, Guangyuan Li, Örjan Smedby, Rodrigo Moreno
International Workshop on Breast Imaging
-
Fine-tuning Specialized NER Model for Symptom Extraction from Slovenian Medical Texts
Rigon Sallauka, Umut Arioz, Izidor Mlakar
2024 9th International Conference on Mathematics and Computers in Sciences and Industry (MCSI)
Leveraging MRI Radiomics and Machine Learning for Accurate Differentiation of Triple-Negative Breast Cancer Subtype
Yaqeen Ali, Johannes Gregori, Tewele W. Tareke, Alain Lalande, Fabrice Meriaudeau
2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS)
MM + CD Fusion: Deep Learning-based 3D Multi-Modal Fusion for Early Pathological Complete Response Prediction in Breast Cancer
Tewele W. Tareke, Neree Payan, Alexandre Cochet, Alain Lalande, Fabrice Meriaudeau
Lecture Notes in Computer Science, AI and Imaging for Diagnostic and Treatment Challenges in Breast Care
Multi-parametric MRI for Contrast Agent Free Breast DCE-MRI Synthesis
Zhikai Yang, Cristina Zhang, Huijian Chen, Muzhen He, Rodrigo Moreno
Proc. MICCAI
pending
Multiscale Subtraction Consistency-based Generative Adversarial Networks for Contrast-Agent-Free Breast DCE-MRI Synthesis
Zhikai Yang, Cristina Zhang, Muzhen He, Rodrigo Moreno
Proc. International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting
not available
Optimising Region of Interest Registration for Multiple-Tissue Whole Slide Images
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
Lecture Notes in Computer Science, Biomedical Image Registration
Predicting pathological complete response in breast cancer using a dual 3D ResNet‑transformer architecture with multimodal data fusion
Yaqeen Ali, Julia Müller, Tewele W. Tareke, Alain Lalande, Fabrice Meriaudeau, Johannes Gregori
Medical Imaging 2026: Computer-Aided Diagnosis
Reconstruction of Breast Spectral CT with Multi-Material Decomposition using a Two-Stage Learned Primal-Dual Neural Network
Zhikai Yang, Ruihan Huang, Örjan Smedby, Rodrigo Moreno
Fully3D conference 2025
in press
Transformer-Based Foundation Model for Universal Ultrasound Image Analysis
Zhikai Yang, Junjie Hu, Félix Nieto-del-Amor, Guangyuan Li, Rodrigo Moreno
2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)
Tumor-Aware Conditional Pix2PixHD with Per-Image Normalization for Virtual Contrast Enhancement in Breast MR
Hong Jiang, Zhikai Yang, Rodrigo Moreno
Proc. 3rd Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in breast care
camera ready
Two-stage convolutional neural network for breast CT reconstruction
Zhikai Yang, Yihan Xiao, Ozan Öktem, Örjan Smedby, Rodrigo Moreno
Medical Imaging 2025: Physics of Medical Imaging
BCSDBT-Seg Lesion Segmentation Annotations and Structured BI-RADS Reports for Breast Tomosynthesis Dataset
Zhikai Yang
Preprint
Context-Conditional Multi-Task Learning for Multi-Organ Ultrasound Segmentation and Classification
Zhikai Yang, Guangyuan Li, Junjie Hu, Tianhao Bai, Örjan Smedby, Rodrigo Moreno
Preprint
DynamicBUS: Restoring Temporal Dynamics from Static Ultrasound for Improved Breast Cancer Diagnosis (preprint)
Zhikai Yang, Yaofang Liu, Tianhao Bai, Ander Biguri, Haoyuan Chen, Yonghao Li, Carola-Bibiane Schönlieb, Örjan Smedby, Raymond Chan, Rodrigo Moreno
Preprint
