Automated Radiomics Analysis from Multi-Modal Image Segmentation for Predicting Triple Negative Breast Cancer
2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)· 2025DOI Tewele W. Tareke, Neree Payan, Alexandre Cochet, Yaqeen Ali, Laurent Arnould, Benoît Presles, Jean-Marc Vrigneaud, Fabrice Meriaudeau, Alain Lalande
Deep Learning-Driven Radiomic Feature Extraction for Predicting Complete Pathological Response to Neoadjuvant Chemotherapy in Breast Cancer from <sup>18</sup> F
2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)· 2025DOI Tewele W. Tareke, Neree Payan, Alexandre Cochet, Laurent Arnould, Benoît Presles, Jean-Marc Vrigneaud, Soumya Ghose, Fabrice Meriaudeau, Alain Lalande
Efficient Generation of Synthetic Breast CT Slices By Combining Generative and Super-Resolution Models
Lecture Notes in Computer Science, Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care· 2025DOI Zhikai Yang, Mehdi Astaraki, Örjan Smedby, Rodrigo Moreno
Fine-tuning Specialized NER Model for Symptom Extraction from Slovenian Medical Texts
2024 9th International Conference on Mathematics and Computers in Sciences and Industry (MCSI)· 2025DOI Rigon Sallauka, Umut Arioz, Izidor Mlakar
Leveraging MRI Radiomics and Machine Learning for Accurate Differentiation of Triple-Negative Breast Cancer Subtype
2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS)· 2025DOI Yaqeen Ali, Johannes Gregori, Tewele W. Tareke, Alain Lalande, Fabrice Meriaudeau
MM + CD Fusion: Deep Learning-based 3D Multi-Modal Fusion for Early Pathological Complete Response Prediction in Breast Cancer
Lecture Notes in Computer Science, Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care· 2025DOI Tewele W. Tareke, Neree Payan, Alexandre Cochet, Alain Lalande, Fabrice Meriaudeau
Reconstruction of Breast Spectral CT with Multi-Material Decomposition using a Two-Stage Learned Primal-Dual Neural Network
Fully3D conference 2025· 2025
Zhikai Yang, Ruihan Huang, Örjan Smedby, and Rodrigo Moreno
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
Two-stage convolutional neural network for breast CT reconstruction
Medical Imaging 2025: Physics of Medical Imaging· 2025DOI Zhikai Yang, Yihan Xiao, Ozan Öktem, Örjan Smedby, Rodrigo Moreno
Weakly-Supervised Multilingual Medical NER for Symptom Extraction for Low-Resource Languages
Applied Sciences· 2025DOI Rigon Sallauka, Umut Arioz, Matej Rojc, Izidor Mlakar
3D breast ultrasound image classification using 2.5D deep learning
17th International Workshop on Breast Imaging (IWBI 2024)· 2024DOI Zhikai Yang, Tianyu Fan, Örjan Smedby, Rodrigo Moreno
Comparison of lesion segmentation methodsusing simulated DBT images
Proceedings Virtual Imaging Trials in Medicine 2024· 2024DOI Zhikai Yang, Hanna Tomic, Victor Dahlblom, Sophia Zackrisson, Anders Tingberg, Magnus Dustler, Örjan Smedby, Rodrigo Moreno and Predrag Bakic
Enhancing AI Research for Breast Cancer: A Comprehensive Review of Tumor‑Infiltrating Lymphocyte Datasets
Journal of Imaging Informatics in Medicine· 2024DOI Lesion localization in digital breast tomosynthesis with deformable transformers by using 2.5D information
Medical Imaging 2024: Computer-Aided Diagnosis· 2024DOI Zhikai Yang, Tianyu Fan, Örjan Smedby, Rodrigo Moreno
Memory Efficient Two-Stage Diffusion Model in Synthetic Breast Image Generation
European Conference of Radiology· 2024DOI Zhikai Yang, Örjan Smedby, Rodrigo Moreno
Optimizing Vision Transformers for Histopathology: Pretraining and Normalization in Breast Cancer Classification
Journal of Imaging· 2024DOI Giulia Lucrezia Baroni, Laura Rasotto, Kevin Roitero, Angelica Tulisso, Carla Di Loreto, Vincenzo Della Mea
Using simulated breast lesions based on Perlin noise for evaluation of lesion segmentation
Medical Imaging 2024: Physics of Medical Imaging· 2024DOI Hanna Tomic, Zhikai Yang, Anders Tingberg, Sophia Zackrisson, Rodrigo Moreno, Örjan Smedby, Magnus Dustler, Predrag Bakic
Vision Transformers for Breast Cancer Classification
ECDP2024· 2024
G.L. Baroni, L. Rasotto, K. Roitero, A. Tulisso, M. Orsaria, C. Di Loreto, V. Della Mea
Vision Transformers for Breast Cancer Histology Image Classification
Lecture Notes in Computer Science· 2024DOI Baroni, G.L., Rasotto, L., Roitero, K., Siraj, A.H., Della Mea, V
Physics-Informed Neural Network for T2 and M0 Map Estimation
ESMRMB Annual Scientific Meeting 2023· 2023
Zhikai Yang, Lorenzo Branca, Rodrigo Moreno
The BosomShield project: an integrative approach to diagnosis and prognosis of breast cancer relapse based on radiologic / pathologic image biomarkers
ECDP2023 19thEuropean Congress on Digital Pathology· 2023
Hatem A. Rashwan, Vincenzo Della Mea, Rodrigo Moreno, Ioannis Sechopoulos, Carlos López, Anna Korzyńska, Alain Lalande, Izidor Mlakar, Zouhair Haddi, Johannes Gregori, Domenec Puig