Research

My Research interests span Medical image Analysis, Computational Biology, Computational Pathology, and Computer Vision. I am particularly interested in problems that are grounded in Clinical Reality, where the work has to hold up not just technically but in a setting where it actually affects people. Below are my Publications and Ongoing Projects.

Publications

• ICCV 2025

  DebrisVision: Bridging the Synthetic-to-Real Gap for Enhanced Underwater Debris Analysis

  Sivaji Retta, Sai Manikanta Eswar Machara, Iyyakutti Iyappan Ganapathi, Divya Velayudhan, Naoufel Werghi

  International Conference on Computer Vision (CVAUI & AAMVEM Workshop), 2025

  Paper CODE
• MICCAI 2026

  CIPS-Net: A Comprehensive Framework for Histopathology Image Analysis

  Sai Manikanta Eswar Machara^†, Nikhileswara Rao Sulake^†, Sivaji Retta, Iyyakutti Iyappan Ganapathi, Naoufel Werghi

  29^th Medical Image Computing and Computer Assisted Intervention (MICCAI), 2026 [*Under Review]
• IEEE CONNECT 2026

  MINDER: Machine LearnIng Framework for DepressioN Score Analysis in MinDfulness IntERventions across Medically Complex Patients

  Nikhileswara Rao Sulake, Sai Manikanta Eswar Machara, Divya Katam, Sivalal Kethavath

  12^th IEEE International Conference on Electronics, Computing and Communication Technologies 2026 [*Under Review]

† Equal contribution   

Ongoing Research Projects

• HuMAR - Working on developing efficient and scalable text-instructed vision-language model for multimodal and multitasking Human Centric detection.
• PDS with H&E slides - Working on predicting the P53 Deficiency Score (PDS) of Breast cancer patients using H&E stained histopathology slides to improve prognostic accuracy and treatment planning.
• DeepFake MRI Detection - Working on Zero shot or Few shot methods for Deepfake image detection in Medical Data.
• Tiny Object Detection - Working on improving Detection accuracy for tiny-scale objects in Aerial imagery.

Research Competitions

• Top 10 - Track 1, IEEE EMBS Biomedical & Health Informatics (BHI) Conference Data Competition, 2025
• Top 22 - Multimodal AI4TB Challenge (MAIC), Seoul National University Hospital, 2024
• Top 3 - Intel AI Hackathon 2024, IEEE Indicon at IIT Kharagpur, 2024