3 papers
eess.IV2025
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…
eess.IV2024
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…
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…