Deep-Breath: Deep Breast Workshop on Imaging and Treatment Challenges

About Us

Deep-Brea³th 2025: 2nd Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care

The Deep-Breath2025 workstation will provide a discussion forum focused on the topic of AI in breast cancer and aims to promote the development of related research areas, to share insights in academic research and clinical practice among clinicians and AI experts, and explore the opportunities and address potential challenges of AI applications in breast health, thus potentially benefiting doctors and patients. The workshop will publish original papers in all areas related to the AI in breast cancer arena including, but not limited to, the following suggested topics:

Breast imaging (mammography, ultrasound, MRI, PET/CT, H&E, etc.)

Detection, segmentation and classification

Breast cancer screening

Histological characteristics

Medical image registration

Multimodal imaging fusion

Image synthesis

Image reconstruction

Risk assessment and prediction

Treatment response

Drug selection

Lymph node status

Molecular subtypes

Tumor microenvironment

Prediction of cancer recurrence

Radiomics

Reader study

Pathology

Radiology

Natural language processing

LLMs

Federated learning

Swarm learning

...

Manuscript Preparation and Submission

Submissions may be in two tracks:

Track 1. Full papers: Submissions must be new work. Papers must be submitted electronically in searchable pdf format following the guidelines for authors and LaTeX and MS Word templates available at Lecture Notes in Computer Science (LNCS). Manuscripts can be up to 8-pages (text, figures and tables) plus up to 2 pages of references. The MICCAI Conference review process is double-blind, i.e. the names of the authors, reviewers, and area chairs are not revealed to each other. Papers must thus be properly anonymized before submission. All submissions will be reviewed by at least three experts with experience of relevance. Accepted papers will be assigned for oral or poster presentation based on review scores, and will be published by Springer Nature as a part of the MICCAI Satellite Events joint LNCS proceedings. For accepted papers, the corresponding/senior authors will need to complete and sign a Consent-to-Publish form on behalf of all the authors. Importantly, after review, some papers will be recommended to high-impact partner journals (indexed by SCI).

Track 2. Abstracts: Submissions may be new work or recently published/accepted papers. Abstracts are limited to 2500 characters including spaces, and are to be constructed using the following section headings: Purpose; Materials and Methods; Results; Conclusion. It is recommended that a figure to support your work accompany your submission. Accepted abstracts will be assigned for oral or poster presentation based on review scores, and made publicly accessible on this website.

Submissions for both tracks should be submitted via the CMT system: https://cmt3.research.microsoft.com/DeepBreath2025

Among all the accepted full papers and abstracts, Deep-Breath will give a Best Student Paper award, a Best Workshop Paper award, and a Best Abstract Award, all with electronic certificates.

DEEP-BREATH2025 Committee

General Chairs

Tianyu Zhang (Radiology Department/BIG, NKI/RadboudUMC, Amsterdam/Nijmegen, the Netherlands)
Oliver Lester Saldanha (Else Kroener Fresenius Center for Digital Health, Dresden, Germany)
Nika Rasoolzadeh (BIG, RadboudUMC, Nijmegen, the Netherlands)
Tao Tan (Faculty of Applied Sciences, Macao Polytechnic University, Macao, China)
Jakob Nikolas Kather (Else Kroener Fresenius Center for Digital Health, Dresden University of Technology, Dresden, Germany)
Ritse Mann (Breast Imaging Group, RadboudUMC, Nijmegen, the Netherlands)

Organizing Committee

Tianyu Zhang (chair)

Radiology Department/BIG, NKI/RadboudUMC, Amsterdam/Nijmegen, the Netherlands

Oliver Lester Saldanha (co-chair)

NCT in Uniklinik Heidelberg and EKFZ in TU Dresden, Dresden, Germany

Nika Rasoolzadeh (co-chair)

BIG, RadboudUMC, Nijmegen, the Netherlands

Gustav Müller-Franzes

Aachen University Hospital, Germany

Nicholas Payne

University of Cambridge, UK

Luyang Luo

Harvard Medical School, USA

Yuan Gao

University Medical Center Utrecht, the Netherlands

Michael Kalogeropoulos

Hygeia Hospital, Greece

Robert Marti Marly

Computer Technology, University of Girona, Spain

Daniel Truhn

Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, Germany

Shandong Wu

Department of Radiology, University of Pittsburgh, Pittsburgh, USA

Oliver Diaz

University of Barcelona, Spain

Tao Tan

Faculty of Applied Sciences, Macao Polytechnic University, Macao, China

Jakob Nikolas Kather

Else Kroener Fresenius Center for Digital Health, Dresden University of Technology, Dresden, Germany

Ritse Mann (in-chief)

Breast Imaging Group, RadboudUMC, Nijmegen, the Netherlands

Technical Committee

Lishan Cai (Radiology Department, Netherlands Cancer Institute, Amsterdam, the Netherlands)
Jarek van Dijk (co-chair in technical committee) (BIG, RadboudUMC, Nijmegen, the Netherlands)
Ming Fan (Hangzhou Dianzi University, China)
Luyi Han (co-chair in technical committee) (Medical Imaging Department, RadboudUMC, Nijmegen, the Netherlands)
Xinglong Liang (BIG, RadboudUMC, Nijmegen, the Netherlands)
Zehui Lin (Macao Polytechnic University, China)
Aitor López López (Ribera Salud Hospital, Spain)
Chunyao Lu (Medical Imaging Department, RadboudUMC, Nijmegen, the Netherlands)
Lidia Garrucho Moras (co-chair in technical committee) (University of Barcelona, Spain)
Xin Wang (Radiology Department, NKI, Amsterdam, the Netherlands)
Markus Wenzel (Fraunhofer Institute for Digital Medicine MEVIS, Germany)
Jian Zheng (Chinese Academy of Sciences, China)
Jiefu Zhu (Dresden University of Technology, Germany)

Clinical Committee

Alexandra Athanasiou (Mitera Hospital, Greece)
Lingyun Bao (Westlake University, China)
Julia Camps (Ribera Salud Hospital, Spain)
Anna D'Angelo (Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy)
Fiona Gilbert (University of Cambridge, UK)
Ning Mao (Qingdao University, China)
Raquel Perez-Lopez (Vall d’Hebron Institute of Oncology, Spain)
Antonio Portaluri (BIG, RadboudUMC, Nijmegen, the Netherlands)
Cristina Rossi (University of Zürich, Switzerland)
Wendelien Sanderink (RadboudUMC, Nijmegen, the Netherlands)
Carla Sitges (Hospital Clínic de Barcelona, Barcelona, Spain)
Marialena Tsarouchi (Breast Imaging Group, RadboudUMC, Nijmegen, the Netherlands)
Wouter Veldhuis (University Medical Center Utrecht, the Netherlands)
Dong Xu (Chinese Academy of Sciences, China)

Advisory Board

Hao Chen (The Hong Kong University of Science and Technology, China)
Peter Gordebeke (The European Institute for Biomedical Imaging Research (EIBIR), Vienna, Austria)
Karim Lekadir (Universitat de Barcelona, Spain)
Shuo Li (Case Western Reserve University, Cleveland, USA)
Ulrike Mayerhofer-Schirmer (The European Institute for Biomedical Imaging Research (EIBIR), Vienna, Austria)