ABOUT THE WORKSHOP

Revolutionizing Medical Imaging with Computer Vision and Artificial Intelligence highlights the transformative potential of AI and computer vision in the field of medical imaging. Medical imaging, which includes techniques like X-rays, CT scans, and MRIs, has been a critical tool in diagnosing and treating diseases. However, the interpretation of medical images has traditionally been a time-consuming and error-prone process, relying on the expertise of human radiologists. Advances in computer vision and AI have enabled the development of sophisticated algorithms that can analyse medical images more accurately and efficiently than humans. These algorithms can detect subtle patterns and anomalies that might be missed by even the most experienced radiologists and can provide clinicians with insights into a patient's condition that would be impossible to obtain otherwise.

The application of computer vision and AI in medical imaging has already yielded impressive results in several areas, including cancer diagnosis, treatment planning, and monitoring. As these technologies continue to improve, and become more widespread, these have potential to revolutionize the field of medical imaging, enabling earlier and close to accurate diagnoses, more personalized treatment plans, and better outcomes for patients. The objective of this symposium is to understand the basics of AI and machine learning, have familiarity with AI applications in medical imaging, critically evaluate AI tools for medical imaging and have Hands-on experience with AI tools and software for medical imaging.

OBJECTIVES

  • Understanding of the principles and applications of AI and machine learning, including the different types of algorithms and their strengths and limitations.
  • Understanding how AI is being used in medical imaging today, including the benefits and challenges of implementing these technologies.
  • Familiarity with different tools and technologies used in AI for medical imaging, including image processing software, machine learning frameworks, and data analysis tools.
  • Hands-on experience with AI tools and technologies, applying them to real-world medical imaging data sets. This could include segmentation, classification, and prediction tasks.
  • Understanding the challenges and future directions of AI in medical imaging: Participants should be familiar with the challenges facing the wider adoption of AI in medical imaging, as well as the future directions and potential of these technologies in advancing healthcare.

Organising Team

Patron in Chief: Dr. Ashok K. Chauhan, Founder President, Amity University

Patron: Dr. Atul Chauhan, Chancellor, Amity University Uttar Pradesh

Co-Patron: Dr. Balvinder Shukla, Vice Chancellor, Amity University Uttar Pradesh

Co-Patron: Dr. W. Selvamurthy, President (ASTIF), Director General - Amity Directorate of Science Innovation, Chancellor, Amity University Chhattisgarh

Chairperson: Dr. Sanjay Kumar, Director, Amity Institute of Biotechnology

Convener: Dr. Seema Bhatnagar, Asst. Director (AIB), Chairperson, Non Teaching Credit Courses, Coordinator International Initiatives

Convener: Dr. Sarath Janga, Associate Professor, Bioinformatics, Data Science, Luddy School of

Informatics, Computing, and Engineering, IUPUI

Co-convener: Dr. Kamal Rawal, Centre Head, Centre for Computational Biology & Bioinformatics, Amity Institute of Biotechnology

Co-convener: Dr. Puniti Mathur, Professor, Centre for Computational Biology & Bioinformatics, Amity Institute of Biotechnology

Organising Secretary: Dr. Priyanka Narad, Assistant Professor, Amity Institute of Biotechnology

Joint Secretaries: Dr. V. Pooja, Professor, Amity Institute of Biotechnology

Dr. Abhishek Sengupta, Assistant Professor, Amity Institute of Biotechnology

Treasurer: Dr. Rajashree Das, Associate Professor, Amity Institute of Biotechnology

Mr. Ankur Chaurasia, Assistant Professor, Amity Institute of Biotechnology

WHO SHOULD ATTEND

Undergraduate students, Post-Graduate students, Research Scholars, Faculty in Biotechnology/ Bioinformatics/Allied Sciences, Doctors, Clinicians, Industry Professionals and Paramedics.

REGISTRATION:

  • Registration Fee:
    International Participants: $200
    International Participants (Partner Universities): $100
    Industry Participants: Rs. 5000
    Medical Doctors/Clinicians/Paramedics: Rs. 3000
    Research Scholars/Faculty Members/Post Docs: Rs. 1000
    UG/PG Students: Rs. 500
  • Interested candidates are required to register themselves at the following Link:
  • Certificates shall be provided to all the registered participants.

PROPOSED SPEAKERS:

  • Sarath Janga, Associate Professor, Bioinformatics, Data Science, Luddy School of Informatics, Computing, and Engineering, IUPUI.
  • Jingwen Yan, Ph.D. Associate Professor, Bioinformatics; Director, Bioinformatics Program, IUPUI.
  • Saptarshi Purkayastha, Ph.D. Director, Health Informatics, Associate Professor, Data Science, Health Informatics, IUPUI.
  • Shiaofen Fang, Ph.D. Professor and Department Chair, Computer & Information Science, IUPUI.
  • Khairi Reda, Ph.D. Associate Professor, Data Science, Human-Computer Interaction; Director, Data Science Graduate Program, IUPUI.
  • Rintu Kutum, Faculty Fellow, Department of Computer Science. Data Scientist, Mphasis Lab for ML & Computational Thinking. Faculty, Trivedi School of Biosciences, Ashoka University.
  • Jayadeva, Professor, Department of Electrical Engineering, IIT Delhi.
  • Kamal Rawal, Centre Head, Centre for Computational Biology & Bioinformatics, Amity Institute of Biotechnology and many more...

Call for Papers

International Symposium on "Revolutionizing Medical Imaging with Computer Vision and Artificial Intelligence"

22nd-25th August 2023

We are pleased to announce the International Symposium on "Revolutionizing Medical Imaging with Computer Vision and Artificial Intelligence" to be held from 22nd to 25th August 2023. This symposium aims to bring together researchers, scientists, engineers, and industry professionals from around the world to explore and discuss the latest advancements and challenges in the field of medical imaging with a focus on computer vision and artificial intelligence (AI).

Medical imaging plays a crucial role in the diagnosis, treatment, and monitoring of various medical conditions. With the advent of computer vision and AI technologies, there has been a significant paradigm shift in the way medical images are acquired, processed, analyzed, and interpreted. These technologies have the potential to revolutionize medical imaging by enhancing accuracy, efficiency, and patient care.

The symposium will provide a platform for researchers and practitioners to present and exchange their cutting-edge research findings, innovative ideas, and practical experiences related to the application of computer vision and AI techniques in medical imaging. We invite researchers and professionals from academia, industry, and healthcare organizations to submit original research papers, case studies, and reviews on the following topics of interest (but not limited to):

Deep learning and convolutional neural networks for medical image analysis
Computer-aided diagnosis and decision support systems
Image segmentation, registration, and reconstruction techniques
Image-guided therapy and surgical planning
AI-powered radiomics and radiogenomics
Augmented and virtual reality in medical imaging
Big data analytics and data mining in medical imaging
Image-based biomarkers and disease progression modeling
Image-based computer-aided interventions and robotics
Ethical, legal, and social implications of AI in medical imaging

Important Dates

Paper submission deadline: 30th July 2023

Notification of acceptance: 5th August 2023

Camera-ready paper submission: 15th August 2023

Symposium dates: 22nd-25th August 2023

Submission Guidelines:

Authors are invited to submit original, unpublished research papers formatted according to the symposium's guidelines. All submissions will undergo a rigorous peer-review process. Accepted papers will be published in the symposium proceedings proposed to be in Scopus Indexed Journals.

Contact Us

For any queries please contact
Dr. Priyanka Narad
Assistant Professor
Amity Institute of Biotechnology, Amity University Uttar Pradesh
pnarad@amity.edu

2023 all rights reserved. AKCDS