Mousa Moradi | Ophthalmology | Best Researcher Award Published on 08/10/202508/10/2025 by World Top Scientists Dr. Mousa Moradi | Ophthalmology | Best Researcher Award Mousa Moradi | Harvard University | United States Dr. Mousa Moradi is a Postdoctoral Research Fellow at Harvard Medical School, specializing in computational modeling, medical image analysis, and healthcare artificial intelligence. He earned his Ph.D. in Biomedical Engineering from the University of Massachusetts Amherst, where his work focused on developing AI-based algorithms for disease detection in ophthalmology and kidney assessment. His interdisciplinary research combines deep learning, clinical data analytics, and medical imaging to improve diagnostic precision and personalized care. Dr. Moradi has contributed to multiple peer-reviewed publications and presented at leading international conferences. He actively serves as a reviewer for top scientific journals and is a member of the Optica Open Advisory Board. His research achievements have been recognized with several awards for excellence and innovation in biomedical engineering. Dr. Moradi’s measurable research impact, as recorded in Scopus, includes 77 citations, 9 documents, and an h-index of 4. Profiles: Google Scholar | Scopus | ORCID Featured Publications 1. Moradi, M., Naghdi, N., Hemmati, H., Asadi-Samani, M., & Bahmani, M. (2016). Effect of ultra high frequency mobile phone radiation on human health. Electronic Physician, 8(5), 2452. 2. Moradi, M., Chen, Y., Du, X., & Seddon, J. M. (2023). Deep ensemble learning for automated non-advanced AMD classification using optimized retinal layer segmentation and SD-OCT scans. Computers in Biology and Medicine, 154, 106512. 3. Ma, X., Moradi, M., Ma, X., Tang, Q., Levi, M., Chen, Y., & Zhang, H. (2024). Large area kidney imaging for pre-transplant evaluation using real-time robotic optical coherence tomography. Communications Engineering, 3(1), 122. 4. Moradi, M., Du, X., Huan, T., & Chen, Y. (2022). Feasibility of the soft attention-based models for automatic segmentation of OCT kidney images. Biomedical Optics Express, 13(5), 2728–2738. 5. Moradi, M., Huan, T., Chen, Y., Du, X., & Seddon, J. (2022). Ensemble learning for AMD prediction using retina OCT scans. Investigative Ophthalmology & Visual Science, 63(7), 732–F0460–732–F0460.*
Dr. Mousa Moradi is a Postdoctoral Research Fellow at Harvard Medical School, specializing in computational modeling, medical image analysis, and healthcare artificial intelligence. He earned his Ph.D. in Biomedical Engineering from the University of Massachusetts Amherst, where his work focused on developing AI-based algorithms for disease detection in ophthalmology and kidney assessment. His interdisciplinary research combines deep learning, clinical data analytics, and medical imaging to improve diagnostic precision and personalized care. Dr. Moradi has contributed to multiple peer-reviewed publications and presented at leading international conferences. He actively serves as a reviewer for top scientific journals and is a member of the Optica Open Advisory Board. His research achievements have been recognized with several awards for excellence and innovation in biomedical engineering. Dr. Moradi’s measurable research impact, as recorded in Scopus, includes 77 citations, 9 documents, and an h-index of 4. Profiles: Google Scholar | Scopus | ORCID Featured Publications 1. Moradi, M., Naghdi, N., Hemmati, H., Asadi-Samani, M., & Bahmani, M. (2016). Effect of ultra high frequency mobile phone radiation on human health. Electronic Physician, 8(5), 2452. 2. Moradi, M., Chen, Y., Du, X., & Seddon, J. M. (2023). Deep ensemble learning for automated non-advanced AMD classification using optimized retinal layer segmentation and SD-OCT scans. Computers in Biology and Medicine, 154, 106512. 3. Ma, X., Moradi, M., Ma, X., Tang, Q., Levi, M., Chen, Y., & Zhang, H. (2024). Large area kidney imaging for pre-transplant evaluation using real-time robotic optical coherence tomography. Communications Engineering, 3(1), 122. 4. Moradi, M., Du, X., Huan, T., & Chen, Y. (2022). Feasibility of the soft attention-based models for automatic segmentation of OCT kidney images. Biomedical Optics Express, 13(5), 2728–2738. 5. Moradi, M., Huan, T., Chen, Y., Du, X., & Seddon, J. (2022). Ensemble learning for AMD prediction using retina OCT scans. Investigative Ophthalmology & Visual Science, 63(7), 732–F0460–732–F0460.*
Leonie Keidel | Ophthalmology | Best Researcher Award Published on 15/09/202515/09/2025 by World Top Scientists Dr. Leonie Keidel | Ophthalmology | Best Researcher Award Specialist doctor | Ludwig Maximilian University of Munich | Germany Dr. Leonie F. Keidel is a clinician-scientist in ophthalmology whose work bridges clinical practice and research with notable impact. As a specialist leading glaucoma, neuro-ophthalmology, and emergency clinics at LMU Munich, she has advanced knowledge in retinal, choroidal, and rare ocular diseases by describing new mechanisms and developing innovative imaging biomarkers. Her research contributions include randomized clinical trials in glaucoma, surgical innovations, and studies that have been published in respected international journals. She has been recognized with several prestigious awards and serves as a reviewer for leading journals, underscoring her influence in shaping scientific discourse. Beyond research, she is actively engaged in teaching, mentoring, and examining future medical professionals, reflecting her commitment to academic development. With strong international collaborations and a proven track record of innovation, Dr. Keidel represents a dynamic researcher whose work continues to advance ophthalmic science and improve patient care globally. Profile: ORCID Featured Publications 1. M. Gehrke, L. F. Keidel, L. Buhl, S. G. Priglinger, and M. J. Mackert, “Intraluminal 10-0 Nylon Stenting in PRESERFLO™ MicroShunt Surgery for Pseudoexfoliation Glaucoma,” Journal of Clinical Medicine, Sep. 2025. 2. L. F. Keidel, M. Gehrke, S. Kassumeh, L. Buhl, S. G. Priglinger, and M. J. Mackert, “Effect of Subconjunctival Healaflow in Filtrating Surgery with Preserflo MicroShunt in Primary Open Angle Glaucoma,” Journal of Clinical Medicine, Aug. 2025. 3. L. F. Keidel, F. Eckardt, M. Nobl, S. Priglinger, and M. Mackert, “Inflammation and patient satisfaction in micropulse versus continuous wave transscleral cyclophotocoagulation,” British Journal of Ophthalmology, Apr. 2025. 4. L. Keidel, K. Hohenfellner, B. Schworm, S. Priglinger, N. Luft, and C. Priglinger, “Spectral domain optical coherence tomography-based retinochoroidal cystine crystal score: a window into infantile nephropathic cystinosis,” British Journal of Ophthalmology, Feb. 2023. 5. L. Keidel, C. Elhardt, K. Hohenfellner, S. Priglinger, B. Schworm, C. Wertheimer, C. Priglinger, and N. Luft, “Establishing an objective biomarker for corneal cystinosis using a threshold‐based Spectral domain optical coherence tomography imaging algorithm,” Acta Ophthalmologica, Mar. 2021.
Dr. Leonie F. Keidel is a clinician-scientist in ophthalmology whose work bridges clinical practice and research with notable impact. As a specialist leading glaucoma, neuro-ophthalmology, and emergency clinics at LMU Munich, she has advanced knowledge in retinal, choroidal, and rare ocular diseases by describing new mechanisms and developing innovative imaging biomarkers. Her research contributions include randomized clinical trials in glaucoma, surgical innovations, and studies that have been published in respected international journals. She has been recognized with several prestigious awards and serves as a reviewer for leading journals, underscoring her influence in shaping scientific discourse. Beyond research, she is actively engaged in teaching, mentoring, and examining future medical professionals, reflecting her commitment to academic development. With strong international collaborations and a proven track record of innovation, Dr. Keidel represents a dynamic researcher whose work continues to advance ophthalmic science and improve patient care globally. Profile: ORCID Featured Publications 1. M. Gehrke, L. F. Keidel, L. Buhl, S. G. Priglinger, and M. J. Mackert, “Intraluminal 10-0 Nylon Stenting in PRESERFLO™ MicroShunt Surgery for Pseudoexfoliation Glaucoma,” Journal of Clinical Medicine, Sep. 2025. 2. L. F. Keidel, M. Gehrke, S. Kassumeh, L. Buhl, S. G. Priglinger, and M. J. Mackert, “Effect of Subconjunctival Healaflow in Filtrating Surgery with Preserflo MicroShunt in Primary Open Angle Glaucoma,” Journal of Clinical Medicine, Aug. 2025. 3. L. F. Keidel, F. Eckardt, M. Nobl, S. Priglinger, and M. Mackert, “Inflammation and patient satisfaction in micropulse versus continuous wave transscleral cyclophotocoagulation,” British Journal of Ophthalmology, Apr. 2025. 4. L. Keidel, K. Hohenfellner, B. Schworm, S. Priglinger, N. Luft, and C. Priglinger, “Spectral domain optical coherence tomography-based retinochoroidal cystine crystal score: a window into infantile nephropathic cystinosis,” British Journal of Ophthalmology, Feb. 2023. 5. L. Keidel, C. Elhardt, K. Hohenfellner, S. Priglinger, B. Schworm, C. Wertheimer, C. Priglinger, and N. Luft, “Establishing an objective biomarker for corneal cystinosis using a threshold‐based Spectral domain optical coherence tomography imaging algorithm,” Acta Ophthalmologica, Mar. 2021.