Deliverables and Publications

List of Deliverables

Work Package No	Deliverable Related No	Deliverable Name	Lead Beneficiary	Due Date
WP1	D1.1	Supervisory Board of the network	URV	31 Oct 2022
WP1	D1.2	Progress report	URV	30 Sep 2023
WP1	D1.3	Data Management Plan	URV	30 Sep 2023
WP2	D2.1	Career Development plans	URV	30 Sep 2023
WP3	D3.1	Classification of malign breast tissue regions and molecular subtypes	URV	29 Feb 2024
WP3	D3.2	Breast tissue density biomarker	URV	30 Apr 2024
WP3	D3.3	Methods for identifying aggressive cancer types	KTH	31 Aug 2024
WP4	D4.1	Biopsies, WSI preparation and quality issues accuracy	IISPV	31 Aug 2024
WP6	D6.1	Data protocols requirements	MED	31 Aug 2023
WP7	D7.1	Website	UBFC	31 Oct 2022
WP7	D7.2	Plan for the dissemination and exploitation of results, including communication activities	URV	30 Sep 2023

List of Publications

Title

Authors

Title of the journal or equivalent

PID (Publisher version of record)

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

link

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

link

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

link

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)

link

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

link

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

link

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

Zhikai Yang, Örjan Smedby, Rodrigo Moreno

European Conference of Radiology

link

Physics-Informed Neural Network for T2 and M0 Map Estimation

Zhikai Yang, Lorenzo Branca, Rodrigo Moreno

ESMRMB Annual Scientific Meeting 2023

link

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

link

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

link

Vision Transformers for Breast Cancer Classification

G.L. Baroni, L. Rasotto, K. Roitero, A. Tulisso, M. Orsaria, C. Di Loreto, V. Della Mea

ECDP2024

link

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

link