High End Workshop on Machine Learning applications for Medical Imaging

A seven days workshop of technical talks, and hands-on sessions

About the Workshop

'KARYASHALA' is aimed to provide hands-on experience to the students primarily from universities, colleges, private academic institutions and newly established institutes in handling / troubleshooting of high-end scientific instruments, softwares and such skill development on themes required for research work. The program is meant to support motivated PG and Ph.D. level students, who are having a strong willingness to get excellence in their scientific and engineering research pursuits.

About the theme

Machine learning methods (e.g., deep learning, random forest, support vector machine, Bayesian methods, manifold learning, and artificial neural network) play an essential role in the field of medical imaging and image informatics. With advances in medical imaging, new machine learning methods and applications are demanded. Due to large variation and complexity, it is necessary to learn representations of clinical knowledge from big imaging data for better understanding of health informatics. There are numerous challenges though, including diverse and inhomogeneous inputs, high dimensional features versus inadequate subjects, subtle key pattern hidden by large individual variation, and sometimes an unknown mechanism underlying the disease. Inspired by the challenges and also the chances, more and more people are devoting to the research direction of machine learning in medical imaging nowadays.

Following are the objectives of this high end workshop:

1. To focus on providing an introduction on the impacts of machine learning and deep learning applications for medical imaging.

2 To disseminate the knowledge in the domain of machine learning, deep learning and computer vison.

3 To expose the various developments and the related software tools to reconstruct 3D Medical Models from 2D Imaging Modalities.

4 To empower the participants to understand how machine learning and deep learning can be used to innovate and improve the computer vision applications mainly medical imaging.

5 To focus on exploring various research opportunities and challenges in the field of Medical Processing

Who can attend:

Karyashala is open to postgraduate students/research scholars from all Institutes, Colleges and Universities. Preference will be given to the students having interest towards learning advanced topics in medical image processing and learning software related to processing medical images. Total number of seats is limited to 25. The selected eligible participants will be provided with full support in the form of Travel (3AC), stationary, consumables, accommodation, food etc., as per institute norms and on submission of original documents (tickets etc.).  The applicants have to submit the NOC (Download Format Link) from the supervisor/HoD/Head of the institute. There is no registration fees.