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Deepak Mishra

7 papers hereh-index 111 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author5

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • eess.IV4
  • cs.CV3
same name
  • Deepak Mishra — 2 papers, h 6
  • Deepak Mishra — 2 papers, h 1
  • Deepak Mishra — 2 papers, h 2
  • Deepak Mishra — 2 papers, h 4
  • Deepak Mishra — 1 paper, h 3
  • Deepak Mishra — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

OphEdit: Training-Free Text-Guided Editing of Ophthalmic Surgical Videos

Ritul Jangir, Arkya Jyoti Bagchi, Aiman Farooq +3

High-fidelity surgical video generation can greatly improve medical training and the development of AI, adapting these generative models for precise video editing remains a formida…

cs.CV2025

Fine-Grained Rib Fracture Diagnosis with Hyperbolic Embeddings: A Detailed Annotation Framework and Multi-Label Classification Model

Shripad Pate, Aiman Farooq, Suvrankar Datta +3

Accurate rib fracture identification and classification are essential for treatment planning. However, existing datasets often lack fine-grained annotations, particularly regarding…

cs.CV2024

Enhanced Survival Prediction in Head and Neck Cancer Using Convolutional Block Attention and Multimodal Data Fusion

Aiman Farooq, Utkarsh Sharma, Deepak Mishra

Accurate survival prediction in head and neck cancer (HNC) is essential for guiding clinical decision-making and optimizing treatment strategies. Traditional models, such as Cox pr…

cs.CV2024

Translating Imaging to Genomics: Leveraging Transformers for Predictive Modeling

Aiman Farooq, Deepak Mishra, Santanu Chaudhury

In this study, we present a novel approach for predicting genomic information from medical imaging modalities using a transformer-based model. We aim to bridge the gap between imag…

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