1 citations · 1 across the 8 of their papers we have counts for
8 papers
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…
RobSurv: Vector Quantization-Based Multi-Modal Learning for Robust Cancer Survival Prediction
Aiman Farooq, Azad Singh, Deepak Mishra +1
Cancer survival prediction using multi-modal medical imaging presents a critical challenge in oncology, mainly due to the vulnerability of deep learning models to noise and protoco…
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…
Leveraging Auxiliary Classification for Rib Fracture Segmentation
Harini G., Aiman Farooq, Deepak Mishra
Thoracic trauma often results in rib fractures, which demand swift and accurate diagnosis for effective treatment. However, detecting these fractures on rib CT scans poses consider…
RibCageImp: A Deep Learning Framework for 3D Ribcage Implant Generation
Gyanendra Chaubey, Aiman Farooq, Azad Singh +1
The recovery of damaged or resected ribcage structures requires precise, custom-designed implants to restore the integrity and functionality of the thoracic cavity. Traditional imp…
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…
Survival Prediction in Lung Cancer through Multi-Modal Representation Learning
Aiman Farooq, Deepak Mishra, Santanu Chaudhury
Survival prediction is a crucial task associated with cancer diagnosis and treatment planning. This paper presents a novel approach to survival prediction by harnessing comprehensi…
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…