Call for papers
Translational Research in Urology
Special issue: Artificial Intelligence in Urology
Artificial Intelligence (AI) is the science and engineering of building intelligent systems capable of performing tasks that typically require human intelligence. The emergence of fast-growing AI-related techniques and technologies is revolutionizing different aspects of healthcare sector. Therefore, the practice of medicine is rapidly changing in all approaches of diagnosis, prognosis, treatment planing, and drug discovery. As the number of involved parameters and factors in medical decision-making processes is vast, conclusive decision making becomes a harder task that needs expertise, focus, and attention. Fortunately, the advent of AI-based tools attempts to compensate for the lack of focus and attention in vital decision-making procedures. As a result, AI serve medical community as augmented intelligence in diverse disciplines. Hence, urology as a broad major in medicine is utilizing AI-based tools for its different practices. To embrace the challenges and opportunities in design and validation of AI-based methods in urology, this special issue seeks submissions of scientific findings that present fundamental theory, techniques, and models of AI in the field of urology.
Special Issue Information:
Topics of this special issue includes, but are not limited to the following:
Guest Editors:
Diego Oliva, PhD
Diego Oliva received the B.S. degree in Electronics and Computer Engineering from the Industrial Technical Education Center (CETI) of Guadalajara, Mexico in 2007, the M.Sc. degree in Electronic Engineering and Computer Sciences from the University of Guadalajara, Mexico in 2010 and Ph.D. in Informatics from the Complutense University of Madrid in 2015. Currently, he is an associate professor at the University of Guadalajara in Mexico. His current research interests include computer vision, image processing, artificial intelligence and metaheuristic optimization algorithms.
Seyed Jalaleddin Mousavirad, PhD
Seyed Jalaleddin Mousavirad (in short: Jalal) is currently a researcher and lecturer at Mid Sweden University, located in Sundsvall, Sweden. Previously, he served as a Research Fellow at the University of Beira Interior in Portugal, where he was actively involved in the European project called GreenStamp. This project focused on advancing AI-based sustainable practices and technologies for Android Apps. Jalal obtained his PhD in Computer Engineering, specializing in Artificial Intelligence, from the University of Kashan in Iran. Following his doctoral studies, he worked at the University of Tehran (2018-2019) and Azad University (2019-2020) as an instructor. Additionally, he served as an Assistant Professor at the Faculty of Engineering at Hakim Sabzevari University in Iran. With a strong research background, Jalal has made significant contributions in the areas of pattern recognition, machine learning, image processing, and evolutionary computation. He has published six book chapters and over 100 papers in reputable academic journals and conferences. Jalal's international research experiences also include visiting a world-class research group at Xi'an Jiaotong-Liverpool University in China, where he further expanded his knowledge and collaborations.
Hassan Homayoun, PhD
Hassan Homayoun currently is the Director of Artificial Intelligence Division at the Urology Research Center, Tehran University of Medical Sciences. Prior to that, he served Urology Research Center as a senior Artificial Intelligence Consultant for three years. He graduated with a Bachelor of Engineering (Software Engineering) in 2010. He obtained his Masters Degree in Computer Science from University Technology Malaysia in 2013, and his PhD in Artificial Intelligence, in 2021. In his academic carrier, Dr. Homayoun has taught mostly courses related to Artificial Intelligence, Machine Learning, Data Mining, Computer Vision, and Computer Programming in different universities and institutes. His research interests and expertise includes Artificial Intelligence, Machine/Deep Learning, Machine Vision, and Medical Data Science. Dr. Homayoun has also been involved in more than 10 research projects, many in collaboration with medical universities and medical industry. He has also authored over 25 journal articles, conference papers, and book chapters.
Important Dates:
Paper Submission Deadline: September 2024
First Round of Review Date: October 2024
Publish Date: December 2024
Manuscript Submission Information:
For article submission please visit: https://www.transresurology.com
And in Article Type section in submission process, please select Special issue: AI in Urology
Contact Information:
In case of any question, problem, and difficulty regrading special issue and submission process, please do not hesitate to contact us through e-mail and call.
Email: trans.res.urol@gmail.com
Phone: 0098-2166348593
