Changda Lei | Artificial intelligence | Best Academic Researcher Award Published on 03/06/202503/06/2025 by Network Science Dr. Changda Lei | Artificial intelligence | Best Academic Researcher Award Resident physician at First Affiliated Hospital of Soochow University, China Professional Profile Scopus Orcid Summary Dr. Changda Lei is a medical doctor and early-career researcher specializing in gastrointestinal tumors, digestive endoscopy, and artificial intelligence (AI) in clinical diagnostics. He is currently affiliated with the Department of Gastroenterology at the First Affiliated Hospital of Soochow University, China. His interdisciplinary expertise bridges medical imaging, clinical gastroenterology, and AI-driven diagnostic systems, with a particular focus on enhancing early cancer detection. Educational Details Dr. Lei earned his Doctor of Medicine degree with a residency in Gastroenterology from the First Affiliated Hospital of Soochow University, China. His doctoral thesis, titled “Artificial intelligence for early gastric cancer boundary recognition in NBI and NF-NBI endoscopic images,” was supervised by Prof. Rui Li and represents a significant contribution to AI applications in endoscopic image analysis for early cancer detection. Professional Experience During his residency and doctoral training at Soochow University, Dr. Lei gained clinical and research experience in gastroenterological procedures and endoscopic imaging. He has collaborated closely with multidisciplinary teams, including radiologists, computer scientists, and oncologists, to develop and validate AI-assisted diagnostic tools. His co-authored works involve both methodological development and clinical validation, marking him as a key contributor to translational medicine in the field of digestive oncology. Research Interests Dr. Lei’s research interests lie at the intersection of gastrointestinal tumor diagnostics, digestive endoscopy, and artificial intelligence. He focuses on improving early detection of gastric cancer, particularly through boundary recognition in NBI and NF-NBI endoscopic images. His broader research also explores multi-task learning, semantic segmentation, and clinical integration of AI tools for real-time diagnostic support in endoscopy suites. Author Metrics Although early in his academic career, Dr. Lei has co-authored multiple peer-reviewed articles in reputable international journals. His publications in Annals of Medicine, Scandinavian Journal of Gastroenterology, and Expert Systems with Applications demonstrate a growing influence in both clinical and AI research communities. His ORCID ID is 0000-0001-7908-7011, and his citation metrics are expected to rise with his growing publication footprint in multidisciplinary fields. Awards and Honors While formal awards are not explicitly listed, Dr. Lei’s contributions to high-impact publications and participation in cutting-edge research—such as the application of task-specific prompting in AI models for endoscopy—indicate peer recognition and significant academic promise. His collaborative work with senior scientists like Prof. Rui Li and publication in top-tier journals positions him as a rising expert in the medical AI and gastroenterology research community. Publication Top Notes 1. Artificial Intelligence-Assisted Diagnosis of Early Gastric Cancer: Present Practice and Future Prospects Authors: Changda Lei, Wenqiang Sun, Kun Wang, Ruirong Weng, Xiuji Kan, Rui Li Journal: Annals of Medicine Volume/Issue: Volume 57, Issue 1 Article ID: 2461679 Publication Date: 2025 DOI: 10.1080/07853890.2025.2461679 Summary:This article reviews current applications and future directions for artificial intelligence (AI) in the diagnosis of early gastric cancer (EGC). It highlights advances in endoscopic imaging, especially NBI (Narrow Band Imaging) and AI-based pattern recognition, and discusses clinical integration, challenges, and prospects for real-time implementation. 2. Neonatal Lupus Erythematosus: An Acquired Autoimmune Disease to Be Taken Seriously Authors: Wenqiang Sun, Changchang Fu, Xinyun Jin, Changda Lei, Xueping Zhu Journal: Annals of Medicine Publication Date: December 31, 2025 DOI: 10.1080/07853890.2025.2476049 Summary:This clinical review focuses on neonatal lupus erythematosus (NLE), a rare but significant autoimmune condition affecting newborns. The article emphasizes early diagnosis, maternal screening, and therapeutic strategies, highlighting the need for interdisciplinary vigilance and patient-specific care. Conclusion Dr. Changda Lei is an exceptionally promising early-career academic who has already made meaningful contributions to the convergence of AI and gastrointestinal oncology. His research is not only innovative and clinically relevant but also indicative of leadership in next-generation diagnostic solutions.
Ramin Ravangard – Healthcare Management- Best Researcher Award Published on 28/02/202428/02/2024 by Network Science Ramin Ravangard – Healthcare Management- Best Researcher Award Dr. Ramin Ravangard distinguished academic and researcher in the field Healthcare Management. He possesses a Ph.D. in Health Services Management from Shiraz University of Medical Sciences in Shiraz, Fars, IR. With a robust background in healthcare management, hospital management, health economics, and human resources management, he brings a wealth of education and research experience to the table. Professional Profiles Researchgate Google scholar Orcid Conference articles: Bahadori M., Ghardashi F., Izadi A.R., Ravangard R., “Pre-hospital emergency status in Iran with an emphasis on road accidents: a systematic review”, The First National Congress of Trauma, Iran, Tehran, 2015 Bahadori M., Tofighi Sh., Amerioon , Ravangard R., “Evaluation of human resources productivity indicators in Baqiatollah university of military sciences”, 38th World Congress on Military Medicine, Malaysia, 2009 Ravangard R., Vali L., “The impact of e-learning in medical education”, 5th Asia Pacific Medical Education in a Flat World, Singapore, 2008 Vali L., Ravangard R., “Better medical education using modern methods”, 5th Asia Pacific Medical Education in a Flat World, Singapore, 2008 Ravangard R., Vali L., “Globalization effects on health outcomes and access to health care”, 35th World Hospital Congress, Seoul 2007, Korea Ravangard R., Vali L., “Globalization and health care systems”, 35th World Hospital Congress, Seoul 2007, Korea Maharlou H., Niakan Kalhori S.R., Ravangard R., Shahbazi Sh. Decision Tree Development to Analyze Influential Factors Effecting on Patients Length of Stay at Intensive Care Unit after Cardiac Surgery. Second National Congress of Medical Informatics and Seventh Iranian Conference on e-Health, Tarbiat Modares University, Tehran, Iran, July, 18th-19th, 2018 📝🔬Publications📝🔬 Determining the importance of hospital information system adoption factors using fuzzy analytic network process (ANP) M Nilashi, H Ahmadi, A Ahani, R Ravangard, O bin Ibrahim Technological Forecasting and Social Change 111, 244-264 Health system performance in Iran: a systematic analysis for the Global Burden of Disease Study 2019 F Farzadfar, M Naghavi, SG Sepanlou, SS Moghaddam, WJ Dangel, … The Lancet 399 (10335), 1625-1645 Using queuing theory and simulation model to optimize hospital pharmacy performance M Bahadori, SM Mohammadnejhad, R Ravangard, E Teymourzadeh Iranian red crescent medical Journal 16 (3 Global investments in pandemic preparedness and COVID-19: development assistance and domestic spending on health between 1990 and 2026 AE Micah, K Bhangdia, IE Cogswell, D Lasher, B Lidral-Porter, … The Lancet Global Health 11 (3), e385-e413 A supplier selection model for hospitals using a combination of artificial neural network and fuzzy VIKOR M Bahadori, SM Hosseini, E Teymourzadeh, R Ravangard, M Raadabadi, … International Journal of Healthcare Management 13 (4), 286-294 Factors affecting dental service quality M Bahadori, M Raadabadi, R Ravangard, D Baldacchino International journal of health care quality assurance 28 (7), 678-689 The factors affecting the refusal of reporting on medication errors from the nurses’ viewpoints: a case study in a hospital in Iran M Bahadori, R Ravangard, A Aghili, J Sadeghifar, M Gharsi Manshadi, … International Scholarly Research Notices 2013 The barriers to the application of the research findings from the nurses’ perspective: A case study in a teaching hospital M Bahadori, M Raadabadi, R Ravangard, B Mahaki Journal of education and health promotion 5 Factors affecting the technical efficiency of health systems: A case study of Economic Cooperation Organization (ECO) countries (2004–10) R Ravangard, N Hatam, A Teimourizad, A Jafari International journal of health policy and management 3 (2), 63 Assessing the quality of dental services using SERVQUAL model N Dopeykar, M Bahadori, P Mehdizadeh, R Ravangard, M Salesi, … Dental research journal 15 (6), 430 The evaluation of hospital performance in Iran: a systematic review article M Bahadori, AR Izadi, F Ghardashi, R Ravangard, SM Hosseini Iranian journal of public health 45 (7), 855
Changheun Hyun Oh – Medical Image Reconstruction- Best Researcher Award Published on 06/02/202406/02/2024 by Network Science Changheun Hyun Oh – Medical Image Reconstruction Changheun Hyun oh distinguished academic and researcher in the field Deep Learning based Medical Image Reconstruction. In terms of professional experience, he contributed to LG Electronics from 2017 to 2018. Subsequently, he joined the Neuroscience Research Institute of Gachon University in Fall 2018, where he has been actively involved in research endeavors. Throughout his educational and professional journey, he has demonstrated a commitment to advancing the field of Electrical Engineering and contributing to both academic and industrial domains. Professional Profiles scopus Educations: 📚🎓 He earned his Ph.D. degree in Electrical Engineering from the Korea Advanced Institute of Science and Technology (KAIST) during the period of Fall 2011 to Fall 2020, under the guidance of Professor HyunWook Park in the Image Computing System Lab. Prior to that, he completed his M.S. degree in Electrical Engineering at KAIST from Fall 2009 to Spring 2011, continuing his research with Professor Park. His academic journey at KAIST began with a B.S. degree in Electrical Engineering, spanning from Spring 2005 to Spring 2009. conferences He has actively contributed to numerous international conferences, showcasing his research in the field of Electrical Engineering and Medical Imaging. In 2011, as the first author, he presented a paper on “A Switching Circuit for the Rx Signal in the MRI System” at the International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC). Subsequently, he continued to make significant contributions to conferences such as the International Forum on Medical Imaging in Asia and the Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM). His research work encompasses diverse topics, including the optimization of RF birdcage coils, the development of an optimum RF shield for simultaneous MRI-PET systems, and innovations in MRI techniques like water-fat separation and diffusion-weighted imaging. He also explored applications beyond medical imaging, such as his involvement in the International Symposium on Electronic Art and the International Society for Music Information Retrieval Conference. In 2018, he presented a paper on “ETER-net: End to End MR Image Reconstruction Using Recurrent Neural Network” at the First International Workshop on Machine Learning in Medical Image Reconstruction, held in conjunction with the International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI) 2018. His research continued to advance in 2020, where he discussed “A direct MR image reconstruction from k-space via End-To-End reconstruction network using recurrent neural network (ETER-net)” at the Annual Meeting of the ISMRM. In 2022, as the first author, he presented another breakthrough with “A deep learning based direct mapping method for EPI image reconstruction” at the Annual Meeting of the ISMRM. His active participation in these conferences reflects his dedication to pushing the boundaries of knowledge in his field and applying cutting-edge technologies to advance medical imaging techniques. 📚Top Noted Publication An End-to-End Recurrent Neural Network for Radial MR Image Reconstruction Oh, C., Chung, J.-Y., Han, Y. SensorsThis link is disabled., 2022, 22(19), 7277 Evaluation of RF shielding materials to improve MR image of hybrid PET/MRI Lim, H.K., Choi, Y., Jung, J.H., …Park, H.-W., Kim, J.G. Journal of the Korean Physical SocietyThis link is disabled., 2022, 80(7), pp. 640–646 Unsupervised anomaly detection in MR images using multicontrast information Kim, B., Kwon, K., Oh, C., Park, H. Medical PhysicsThis link is disabled., 2021, 48(11), pp. 7346–7359 A k-space-to-image reconstruction network for MRI using recurrent neural network Oh, C., Kim, D., Chung, J.-Y., Han, Y., Park, H. Medical PhysicsThis link is disabled., 2021, 48(1), pp. 193–203 Eter-net: End to end mr image reconstruction using recurrent neural network Oh, C., Kim, D., Chung, J.-Y., Han, Y., Park, H.W. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)This link is disabled., 2018, 11074 LNCS, pp. 12–20 Self-gated cardiac cine imaging using phase information Seo, H., Kim, D., Oh, C., Park, H. Magnetic Resonance in MedicineThis link is disabled., 2017, 77(3), pp. 1216–1222 Show abstractThis link is disabled. Related documents
Harshavardhan Awari – Machine Learning-Healthcare Published on 18/12/202318/12/2023 by Network Science Dr. Harshavardhan Awari – Leading Researcher in Machine Learning-Healthcare Dr. Harshavardhan Awari a distinguished academic and researcher in the field of Machine Learning-Healthcare. His academic prowess traces back to his S.S.C., where he attained an impressive 82% in 1997. The culmination of his educational journey is marked by his Ph.D. research work, titled “A New Framework for Brain Tumor Detection and Classification in MRI Images.” Eduvation He earned his Ph.D. in Computer Science and Engineering from J.N.T. University Hyderabad on February 3, 2021. Prior to that, he completed his M.Tech in Computer Science from J.N.T. University, Hyderabad, in 2008, achieving a commendable 72%. His academic journey also includes a B.Tech in Computer Science from Ramappa Engineering College, where he graduated with a 62% from J.N.T. University in 2004. Additionally, he holds a Diploma in Computer Science from S.E.S.S.N. Murthy College, securing 74.86% from S.B.T.E.T. in 2000. Professional Profiles: scholar scopus Orcid Researcher Id RESEARCH ACTIVITIES He has built a distinguished career in academia. From 2004 to 2006, he served as an Assistant Professor in the Computer Science Department at Dr. V. R. K. College of Engineering & Technology, Jagtial, gaining valuable teaching experience. Subsequently, he spent six years, from 2006 to 2012, as an Associate Professor in the Computer Science department at Vaageswari College of Engineering, Karimnagar. Further enriching his academic portfolio, he dedicated nine years, spanning from 2012 to 2021, to the position of Assistant Professor in the Computer Science Department at SR University, Warangal. During his tenure, SR University achieved noteworthy accreditations, including NAAC ‘A’ Grade, NBA Tier-1, NIRF (2020) ranking 120th, and ARIIA-2020 1st rank. Since 2021, he has been contributing his expertise as a Senior Assistant Professor at VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad. Notably, the institution holds an NAAC ‘A++’ Grade, NBA accreditation for five years, and a NIRF (2020) ranking between 6 to 25. Throughout his career, he has consistently demonstrated dedication to education and academic excellence. Achievements: Primary Evaluator for the Hackthon organized by the Ministry of Education’s Innovation Cell and AICTE,2021. Editorial Member for the Blue Eyes Intelligence Engineering and Sciences Publication Editorial Member for the Lattice Science Publication Reviewer for the Imaging Science Journal Reviewer for the ICCINS-2022 Reviewer for the The 4th International Conference on Machine Learning and Intelligent Systems Session Chair for the ICACECS2021 International Conference on Advances in Computer Engineering and Communication Systems(13.08.2021) Technical Committee member for the ICACECS2021 International Conference on Advances in Computer Engineering and Communication Systems Reviewer for the ICACECS2021 International Conference on Advances in Computer Engineering and Communication Systems Awards: He has garnered notable recognition and accolades throughout his career. In the academic year 2014-2015, he was honored as the Best eLearning Solutions and Two-Way HD Delivery Mechanism (ELSDM) Coordinator at SR Engineering College. His prowess in conceptual design was evident as he clinched the First Prize for Best Overall Conceptual Design in the “IUCEE EPICS Design Thinking Course” spanning from August 2017 to January 2018. Acknowledging his instrumental role, SWAYAM NPTEL presented him with a Certification of Appreciation for serving as the Single Point of Contact (SPOC) for the SWAYAM NPTEL Local Chapter. His expertise extends to the academic and research realms, where he serves as a reviewer for esteemed journals including Inderscience, Springer Nature Scientific Reports (SNAPP), Applied Artificial Intelligence, Indian Journal of Image Processing and Recognition, and Blue Eyes Intelligence Engineering and Sciences Publication. He also actively contributes as a reviewer and session chair for various conferences, such as ICCINS-2022, ICACECS2021, ICACECS2022, ICCET – 2021, FICTA 2022, ICEAT-2021, and ICEAT-2022. Further highlighting his commitment to academia, he served as a Program Committee (PC) member for the 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022) organized by the National Institute of Technology Mizoram. He shared his insights and expertise as a resource person for the “Industry Institute Integrated Technology Transfer (I3T2)” at KGiSL Institute of Technology, Coimbatore, from March 14-19, 2022. In recognition of his scholarly contributions, he has been appointed as a member of the Editorial Board for journals by Lattice Science Publication (LSP) and Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) for the years 2021-22 and 2022-2023. Adding to his list of achievements, he received the Best Faculty Award from the International Conference on Engineering and Advancement in Technology (ICEAT) in association with Malla Reddy Institute of Engineering and Technology, Hyderabad, on July 8, 2022. Publication An automated learning model for sentiment analysis and data classification of Twitter data using balanced CA-SVM CPD Cyril, JR Beulah, N Subramani, P Mohan, A Harshavardhan, … Concurrent Engineering 29 (4), 386-395 _ 2021 Text categorization Performance examination Using Machine Learning Algorithms BP Yadav, S Ghate, A Harshavardhan, G Jhansi, KS Kumar, E Sudarshan IOP Conference Series: Materials Science and Engineering 981 (2), 022044 – 2020 IoT Based Smart Solar Atmospheric Water Harvesting System E Sudarshan, SN Korra, KMP Rajasekharaiah, S Venkatesulu, … IOP Conference Series: Materials Science and Engineering 981 (4), 042004 – 2020 Cardiovascular disease prediction using deep learning techniques SN Pasha, D Ramesh, S Mohmmad, A Harshavardhan IOP conference series: materials science and engineering 981 (2), 022006 – 2020 Cardiovascular disease prediction using deep learning techniques SN Pasha, D Ramesh, S Mohmmad, A Harshavardhan IOP conference series: materials science and engineering 981 (2), 022006 – 2020