News Archives

  • Mar '24 - Our paper on QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge is now out on Arxiv.
  • Mar '24 - My M.Sc. thesis (outdated, not so well written, images super compressed) is now openly available. Please look into the paper for getting the idea.
  • Mar '24 - We have made the RV-PBS dataset openly available.
  • Mar '24 - Our paper titled Advancing instance segmentation and WBC classification in peripheral blood smear through domain adaptation - A study on PBC and the novel RV-PBS datasets based on my M.Sc. thesis got accepted in Expert Systems With Applications journal (IF: 8.5, Q1).
  • Dec '23 - I will be offering Applications of Computer Vision and Deep Learning course at RKMVERI (my alma mater).
  • Oct '23 - Awarded the prestigious Prime Minister's Research Fellowship as a Lateral Fellow Cycle 11. Grateful and humbled.
  • Jan '23 - Our paper on Improving Multi Scale Attention Networks - Bayesian Optimization for Segmenting medical images accepted in The Imaging Science Journal (IF: 1.175, Q2, Acceptance rate: 8%).
  • Dec '22 - New paper out.
  • June '22 - Grateful to get the C-MInDS fellowship for getting the highest entrance test and interview scores.
  • June '22 - Excited to start my Ph.D. at IIT Bombay.
  • May '22 - Selected for Ph.D. at IIT Gandhinagar, IIT Kanpur and IIT Bombay.
  • Jan '22 - Paper on Holistic Networks accepted at BrainLes MICCAI Workshop.
  • Oct '21 - Our paper on Chest X-Ray COVID-19 dataset accepted at EE-RDS Conference 2021. (With Plenary Speaker: Yoshua Bengio).
  • July '21 - Successfully defended my Master's Thesis titled Instance Segmentation of Peripheral Blood Smear and Refining Classification via Domain Adaptation. Resource person present in committee: Suryaprakash Kompalli. Consecutively Getting the highest marks for the thesis.