3-Day Workshop on

Medical Data Analysis using Python with Hands-On

June 12-14, 2024

Indian Statistical Institute, Kolkata

About the Programme

Use of sophisticated machine learning tools is evergrowing for analysing medical data of various modalities such as image, video or other signals. Similar data analytics can unearth crucial insights in health care reducing costs, delivering better care, and thus providing overall a positive impact on people’s lives. Now-a-days medical experts are searching for affordable, efficient AI-based solutions for analysis of various diagnostic data to get assistance in final diagosis of health issues. Thus the demand for skilled health data analysts is increasing steadily. Attending this workshop the partcipants will get the scope to interact closely with several leading medical experts as well as the machine learning / deep learning professionals currently working in this area and thus can build clearer understanding of the state-of-the-art and the future of medical data analytics.

    Some highlights
  • Rigorous hands-on sessions
  • Emphasis on interactions
  • Inclusion of topics on a wider area
  • Experts from leading Institutions, organisations, medical establishments
Program Schedule

Organizers & Speakers

(Click on individual photographs for further details)

Dr. Pradeep Narayan
Cardiac Surgeon
MD (University of Bristol)
RTIICS, Kolkata

Talk Title: "The Comprehensive Impact of AI and Machine Learning in Cardiac Surgery"

Dr. Suma Chakrabarthi
MBBS, MD - Radiology
Dept. of Radiology
Peerless Hospital, Kolkata

Talk Title: "AI in Radiodiagnosis"

Dr. Sumit Chakraborty
Associate Professor
IPGMER SSKM Hospital

Talk Title: "Radiological and Imaging Data Analysis - A Radiologist's perspective"

Prof. (Dr.) Prantar Chakrabarti
MD(Med), DNB(Med), DM(Clinical Hematology), Consultant Haematologist, Zoho Corporation, Ex-Professor and Head, Hematology, NRS Medical College, Kolkata

Talk Title: "Can AI transform a Disease Care System into a Health Care Initiative? Some ideas."

Prof. (Dr.) Sujoy Ghosh
Endocronologist
IPGMER

Talk Title: Importance of Radiological scores and Liquid biopsy in predicting Thyroid malignancy

Dr. Soma Banerjee
Centre for Liver Research, School of Digestive & Liver Diseases

Panelist (for Panel Discussion)

Dr. Asoke K Talukder
Ph.D, Founder XAITeck & Cybernetic Care, Adjunct Faculty, Computer Science & Engineering, NITK Surathkal, Ex DaimlerChrysler Chair Professor, IIIT Bangalore

Talk Title: "At the Crossroad of Health Sciences and AI"

Dr. Ashis Kumar Dhara
Assistant Professor
National Institute of Technology, Durgapur

Talk Title: "Quantification of Glioblastoma from MRI"

Dr. Angshuman Paul
Assistant Professor
Department of Computer Science & Engineering, IIT Jodhpur

Talk Title: "Annotation efficient ML for healthcare, and medical image super-resolution"

Dr. Arijit Ukil
Senior Research Lead
TCS Research

Talk Title: "Algorithmic and interpretable cardiovascular disease screening using ECG sensor including the deployment on edge devices using model optimization for tinyML realization"

Dr. Anasua Sarkar
Associate Professor
CSE, JU

Talk Title: "Python as a universal tool"

Dr. Abhik Ghosh
Associate Professor
ISRU Unit
ISI Kolkata

Talk Title: "Clinical/Survival data analyses"

Prof. Raghunath Chatterjee
Professor
HGU Unit
ISI Kolkata

Talk Title: "Universal Penalized Regression (Elastic-net) model with differentially methylated promoters for Oral cancer prediction"

Prof. Dipti Prasad Mukherjee
Professor (HAG)
ECSU Unit
ISI Kolkata

Talk Title: "Where I failed in implementing medical image processing system?"

Prof. Utpal Garain
Professor
CVPR Unit
ISI Kolkata

Talk Title: TBD

Prof. Swagatam Das
Professor
ECSU Unit
ISI Kolkata

Talk Title: "Large Visual Language Models in Medical Informatics: Promises and Dangers."

Dr. Ujjwal Bhattacharya
Associate Professor
CVPR Unit
ISI Kolkata

Talk Title: "An Introduction to Machine Learning"

Registration

Students / Undergraduates / Graduates / Researchers / Professionals of science, technology and medical fields who have interests on data analytics, particularly analytics of medical data can apply for participation in the programme by filling Registration Form. Only a limited number of applications will be accepted on a first-cum-first-serve basis. Bank account information will soon be communicated to the registered email id of individual accepted applicants. On receipt of the email, an applicant needs to pay the registration charges and communicate the UTI of money transfer within a maximum period of two working days for confirmation of participation. .

The registration fee (non-refundable) for this programme is Rs. 3000/- only excluding applicable GST (18%) and relevant money transaction charges. This fee includes (i) pre-lunch and post-lunch tea/coffee/snacks, (ii) working lunch, (iii) attending lecture and hands-on sessions and (iv) a certificate of participation.

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