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Aiman Farooq

Ph.D. Student
Indian Institute of Technology Jodhpur
farooq.1@iitj.ac.in


About Me

I am a Ph.D. student in the CSE Dept. at IIT Jodhpur, specializing in Multi-modal medical image analysis. Before that, I obtained my Masters degree in Electronics and Bachelors degree in Information Technology from NIT Srinagar, India.

Research Interests

News

Publications

  1. ECCV 2026 Workshop (MedVidU)
    OphEdit: Training-Free Text-Guided Editing of Ophthalmic Surgical Videos
    Ritul Jangir, Arkya Jyoti Bagchi, Aiman Farooq, Mangalton Okram, Saurabh Seetaram Korgaonkar, Deepak Mishra
    ECCV 2026 Workshop (MedVidU)
    PDF Oral Presentation.

  2. Under Review
    SRGN: Subregion Relationship Graph Network with Multi-Scale Spatial Statistics for MGMT Methylation Prediction
    Aiman Farooq, Deepak Mishra, Santanu Chaudhury
    Under Review

  3. Under Review
    CLARIF: Anatomy-Aware Contrastive Learning and Hierarchical Feature Extraction for CT Rib Fracture Report Generation
    Aiman Farooq, Arkya Bagchi, Ritul Jangir, Suvrankar Datta, Deepak Mishra
    Under Review

  4. BSPC
    RegFSL - A registration-based framework for Few shot segmentation of Brain Tumor
    Aiman Farooq, Deepak Mishra, Santanu Chaudhury
    Biomedical Signal Processing and Control
    PDF Code

  5. Under Review
    RobSurv: Multi-Modal Learning for Robust Cancer Survival Prediction
    Aiman Farooq, Azad Singh, Deepak Mishra, Santanu Chaudhury
    Under Review
    Under Review

  6. Under Review
    MIMOSA: Missing Modality Survival Analysis with Shared and Specific Quantized Embeddings for Robust Prediction
    Aiman Farooq, Azad Singh, Deepak Mishra, Santanu Chaudhury
    Under Review
    Under Review

  7. NeurIPS WiML
    Causal Survival Analysis via Neural Mediation with Counterfactual Risk Estimation
    Aiman Farooq, D Mishra, S Chaudhury
    Women in Machine Learning Workshop @ NeurIPS, 2025
    PDF Code

  8. MICCAI
    Fine-Grained Rib Fracture Diagnosis with Hyperbolic Embeddings - A Detailed Annotation Framework and Multi-Label Classification Model
    Shripad Pate*, Aiman Farooq*, Suvrankar Datta, Dr Musadiq Adil Sheikh, Dr. Atin Kumar, Deepak Mishra
    Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025
    PDF Code Early Accept (9%)

  9. ICVGIP
    Ribcageimp: A deep learning framework for 3d ribcage implant generation
    Gyandera Singh, Azad Singh, Aiman Farooq, Deepak Mishra
    Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2025
    PDF Code

  10. MICCAI
    Uncertainty-Aware Cross-Modal Attention for Breast Cancer Classification in Ultrasound Imaging
    Aiman Farooq*, Chandisha Das*, Deepak Mishra
    Deep-Breath Workshop @ MICCAI, 2025
    PDF Code Oral Presentation

  11. ASMUS
    Guide2Heart: Proximity Guidance for Standard Echocardiographic View
    G Singh, Aiman Farooq, A Singh, D Mishra, R Choudhary, P Singh Khera
    International Workshop on Advances in Simplifying Medical Ultrasound

  12. WACV
    Survival Prediction in Lung Cancer through Multi-Modal Representation Learning
    Aiman Farooq, Deepak Mishra, Santanu Chaudhury
    Winter Conference on Applications of Computer Vision (WACV), 2025
    PDF Code Early Accept (12%)

  13. ICVGIP
    Leveraging Auxiliary Classification for Rib Fracture Segmentation
    Harini G.*, Aiman Farooq*, Deepak Mishra
    Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2024
    PDF Code

  14. ACCV
    Enhanced Survival Prediction in Head and Neck Cancer Using Convolutional Block Attention and Multimodal Data Fusion
    Aiman Farooq, Utkarsh Sharma, Deepak Mishra
    Asian Conference on Computer Vision Workshop (ACCV), 2024
    PDF Code

  15. CVPR WiCV
    Translating Imaging to Genomics - Leveraging Transformers for Predictive Modeling
    Aiman Farooq, Deepak Mishra, Santanu Chaudhury
    Conference on Computer Vision and Pattern Recognition - Women in Computer Vision (CVPR WiCV), 2024
    PDF Code

  16. RSNA
    AIRib Framework - Development of an End-to-End Pipeline for the Automated Detection, Characterization, Prognostication and Reporting of Traumatic Rib Fractures from CT Scans
    S. Datta, A. Farooq, S. Agrawal, D. Mishra, A. Kumar, S.R. Gamanagatti, D. Kandasamay, S. Mittal, S. Kumar, R. Sharma
    Radiological Society of North America (RSNA), 2023
    Code

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