Mr. Dimitrios Theodoropoulos | Deep Learning | Best Researcher Award

University of Crete Medical School | Greece

Dimitrios Theodoropoulos is a researcher and AI specialist in medical imaging with expertise in machine learning, deep learning, computer vision, and artificial intelligence applications in healthcare, particularly in radiology and diabetic retinopathy analysis. He is currently pursuing a PhD in Artificial Intelligence in Medical Imaging at the University of Crete, Medical School, building on a master’s degree in computer engineering from Hellenic Mediterranean University and a bachelor’s degree in physics with specialization in microelectronics from the University of Crete, complemented by training as a radiology assistant. Alongside his academic path, he has worked extensively as a radiographer in MRI, CT, X-ray, mammography, DEXA, and EEG imaging, effectively integrating research with clinical practice. He has served as a visiting research fellow at FORTH-CBML and collaborated with institutions such as the Athens Neurotraining Center and Alexandra Hospital, bridging advanced AI research with healthcare innovation. His research focuses on the development of machine learning and deep learning algorithms for classification, segmentation, and detection tasks in medical imaging, with emphasis on diabetic retinopathy, intensive care monitoring, and noninvasive intracranial pressure assessment, while also extending to areas such as pollen analysis. He has published widely in Scopus-indexed journals and conferences, presented at international congresses and academic symposiums, and delivered guest lectures at the National and Kapodistrian University of Athens. Proficient in Python, MATLAB, TensorFlow, PyTorch, Scikit-learn, Linux, and Docker, he has advanced expertise in data preprocessing, model optimization, and AI-driven biomedical solutions. With certifications in Python programming, machine learning, and deep learning, combined with memberships in the Hellenic Artificial Intelligence Society and the Union of Greek Physicists, he demonstrates a rare integration of technical, clinical, and analytical skills, enabling him to advance scientific progress while contributing to patient-centered healthcare innovation.

Profile: Google Scholar | Scopus Profile

Featured Publications

Tsiknakis N., Theodoropoulos D., Manikis G., Ktistakis E., Boutsora O., et al., Deep learning for diabetic retinopathy detection and classification based on fundus images: A review, Comput. Biol. Med., 135, 104599.

Chatziadam P., Dimitriadis A., Gikas S., Logothetis I., Michalodimitrakis M., Theodoropoulos D., et al., TwiFly: A data analysis framework for Twitter, Information, 11(5), 247.

Theodoropoulos D., Karabetsos D.A., Antonios V., Efrosini P., Karantanas A., et al., The current status of noninvasive intracranial pressure monitoring: A literature review, Clin. Neurol. Neurosurg., 108209.

Theodoropoulos D., Sifakis N., Manikis G., Papadourakis G., Armyras K., et al., Semantic segmentation of diabetic retinopathy lesions using deep learning, SN Comput. Sci., 6(7), 782.

Theodoropoulos D., Trivizakis E., Marias K., Xirouchaki N., Vakis A., et al., Predicting intracranial pressure levels: A deep learning approach using computed tomography brain scans, Neurosurgery, 10.1227.

Assoc. Prof. Dr. Bor-Sheng Ko | Biomedical and Healthcare Applications | Best Researcher Award

National Taiwan University Cancer Center, Taiwan

Author Profiles

Orcid

🎓 Academic and Professional Background

Dr. Ko earned his Medical Degree from NTUCM in 1995 and later completed his PhD in Clinical Medicine from the same institution. He has held prestigious leadership roles, including President of the Taiwan Society of Blood and Marrow Transplantation (2019–2022) and President of the Taiwan Society of Pharmacoeconomics and Outcome Research (2018–2023). He is also a member of the Executive Committee of the Asian-Pacific Blood and Marrow Transplantation (APBMT) Group, and currently presides over the Hematology Society of Taiwan (HST).

🏥 Designation and Institution

Assoc. Prof. Dr. Bor-Sheng Ko serves as the Director of the Department of Hematological Oncology at the National Taiwan University Cancer Center, Taiwan. He also holds dual roles as Director of the Tai-Cheng Cell Therapy Center and Associate Professor at the National Taiwan University College of Medicine (NTUCM).

🌍 Professional Memberships

Dr. Ko is actively engaged in numerous professional societies, including the Taiwan Society of Internal Medicine, Hematology Society of Taiwan, Taiwan Society of Blood and Marrow Transplantation, American Hematology Society, European Hematology Association, Asian-Pacific Bone and Marrow Transplantation Group, International Society of Pharmacoeconomics and Outcome Research, International Society of Cell Therapy, and the European Blood and Marrow Transplantation Group.

🔬 Areas of Research

Dr. Ko’s research spans hematology, hematopoietic stem cell transplantation (HSCT), pharmaco-economics, and the application of machine learning and deep learning in data science for clinical use. His interdisciplinary focus bridges traditional clinical research with cutting-edge computational methods.

📈 Research Contributions

Dr. Ko is a prominent figure in the study of hematopoietic diseases, particularly leukemia, lymphoma, and HSCT. He has recently led projects on medical databank development, big data analysis, and the integration of AI technologies—including machine learning and deep learning algorithms—into healthcare settings. A dedicated academic, Dr. Ko has published extensively in high-impact international journals, significantly advancing research in his fields of expertise.

Notable Publications📝

📝Recommendations for the treatment and management of adult B‐Cell acute lymphoblastic leukemia in Asia‐Pacific: Outcomes from a pilot initiative

Author: Zhentang Lao; Kwong Yok Lam; Yuk Man Carol Cheung; Chieh‐Lin Teng; Vivek Radhakrishnan; Dinesh Bhurani; Bor‐Sheng Ko; Yeow Tee Goh

Journal: Asia-Pacific Journal of Clinical Oncology

Year: 2024

📝Pooled analysis of pralatrexate single-agent studies in patients with relapsed/refractory peripheral T-cell lymphoma

Author: Owen A. O’Connor; Bor-Sheng Ko; Ming-Chung Wang; Dai Maruyama; Yuqin Song; Ee-Min Yeoh; Nick Manamley; Kensei Tobinai

Journal: Blood Advances

Year: 2024

📝Asia‐Pacific Leukemia Consortium: An innovative and collaborative initiative to improve care of leukemia and related diseases in the Asia‐Pacific region

Author: Zhentang Lao; Eric Wai Choi Tse; Suporn Chuncharunee; Yok Lam Kwong; Andrew Wei; Bor Sheng Ko; Jin Seok Kim; Soo Chin Ng; Jianxiang Wang; Yeow Tee Goh

Journal: Asia-Pacific Journal of Clinical Oncology

Year: 2023

📝A Chunking-for-Pooling Strategy for Cytometric Representation Learning for Automatic Hematologic Malignancy Classification

Author: Jeng-Lin Li; Yun-Chun Lin; Yu-Fen Wang; Sara A. Monaghan; Bor-Sheng Ko; Chi-Chun Lee

Journal: IEEE Journal of Biomedical and Health Informatics

Year: 2022

📝Iptacopan monotherapy in patients with paroxysmal nocturnal hemoglobinuria: a 2-cohort open-label proof-of-concept study

Author: Jun Ho Jang; Lily Wong; Bor-Sheng Ko; Sung-Soo Yoon; Katie Li; Irina Baltcheva; Prasanna Kumar Nidamarthy; Raghav Chawla; Guido Junge; Eng Soo Yap