Mehdi Astaraki
About me
Mehdi Astaraki is a postdoctoral researcher at the Division of Medical Radiation Physics at SU with a passion for applying deep learning (DL) and machine learning (ML) methods to cancer imaging analysis. He aims to develop imaging biomarkers for diagnosis, prognosis, and prediction of cancer stages, cancer development, treatment efficacy, and radiation treatment planning. He earned both his bachelor's and master's degrees in Biomedical Engineering. In September 2022, he earned his Ph.D. degree from the joint program between the Division of Biomedical Imaging at KTH and the Division of Medical Radiation Physics at KI.
Research
Mehdi's research interests are primarily focused on the development, evaluation, validation, and deployment of DL and ML models for the diagnosis, prognosis, and treatment planning of different types of cancer including brain tumors, lung tumors, bone metastases, head&
- neck cancers, and lymph nodes involvement in radiological and molecular imaging such as MRI, CT, and PET. Methodologically, he is interested in supervised learning, representation learning, active learning, and federated learning techniques.
Teaching
- Mehdi has been teaching in several courses including signal and system analysis, signal processing, medical image processing and analysis, and deep learning for medical image analysis.
Articles
- Journal article: RADIOTHERAPY AND ONCOLOGY. 2024;194:s5019-s5022
- Journal article: RADIOTHERAPY AND ONCOLOGY. 2024;194:s5120-s5122
- Article: PHYSICA MEDICA. 2023;113:102669
- Journal article: RADIOTHERAPY AND ONCOLOGY. 2023;182:s653-s654
- Journal article: PHYSICA MEDICA. 2022;104:s121
- Article: ADVANCES IN RADIATION ONCOLOGY. 2022;7(5):100987
- Article: MEDICAL IMAGE ANALYSIS. 2022;80:102491
- Journal article: RADIOTHERAPY AND ONCOLOGY. 2022;170:s290-s291
- Article: FRONTIERS IN ONCOLOGY. 2022;12:870457
- Journal article: RADIOTHERAPY AND ONCOLOGY. 2021;161:s1520-s1522
- Article: PHYSICA MEDICA. 2021;83:146-153
- Article: FRONTIERS IN ONCOLOGY. 2021;11:737368
- Journal article: RADIOTHERAPY AND ONCOLOGY. 2020;152:s843-s844
- Article: PHYSICA MEDICA. 2019;60:58-65
- Journal article: PHYSICS AND IMAGING IN RADIATION ONCOLOGY. 2018;5:52-57
- Article: INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS. 2013;87(1):195-201
- Article: BIOMEDICAL ENGINEERING ONLINE. 2013;12:73
All other publications
- Conference publication: RADIOTHERAPY AND ONCOLOGY. 2023;182:S653-S654
- Thesis / dissertation: 2022
- Conference publication: NUKLEARMEDIZIN - NUCLEARMEDICINE. 2022;61(02):164
- Conference publication: RADIOTHERAPY AND ONCOLOGY. 2021;161:S1520-S1522
- Conference publication: RADIOTHERAPY AND ONCOLOGY. 2020;152:S843-S844
- Book chapter: BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES: LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS). 2020;p. 316-323
- Conference publication: RADIOTHERAPY AND ONCOLOGY. 2019;133:S208-S209
- Book chapter: MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION – MICCAI 2019: LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS). 2019;p. 249-256
Employments
- Affiliated to Research, Department of Oncology-Pathology, Karolinska Institutet, 2023-2025
Degrees and Education
- Doctor Of Philosophy, Karolinska Institutet, 2022