Umaima Rahman

According to our database, Umaima Rahman authored at least 8 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Lost in Volume: The CT-SpatialVQA Benchmark for Evaluating Semantic-Spatial Understanding of 3D Medical Vision-Language Models.

Mashrafi Monon, Umaima Rahman, Asif Hanif, Numan Saeed, Mohammad Yaqub

CoRR, May, 2026

2025

Decoupling Clinical and Class-Agnostic Features for Reliable Few-Shot Adaptation Under Shift.

Umaima Rahman, Raza Imam, Mohammad Yaqub, Dwarikanath Mahapatra

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2025

Can Language-Guided Unsupervised Adaptation Improve Medical Image Classification Using Unpaired Images and Texts?

Umaima Rahman, Raza Imam, Mohammad Yaqub, Boulbaba Ben Amor, Dwarikanath Mahapatra

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

DiMPLE - Disentangled Multi-Modal Prompt Learning: Enhancing Out-of-Distribution Alignment with Invariant and Spurious Feature Separation.

Umaima Rahman, Mohammad Yaqub, Dwarikanath Mahapatra

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

MedUnA: Language guided Unsupervised Adaptation of Vision-Language Models for Medical Image Classification.

Umaima Rahman, Raza Imam, Dwarikanath Mahapatra, Boulbaba Ben Amor

CoRR, 2024

CosmoCLIP: Generalizing Large Vision-Language Models for Astronomical Imaging.

Raza Imam, Mohammed Talha Alam, Umaima Rahman, Mohsen Guizani, Fakhri Karray

CoRR, 2024

XDT-CXR: Investigating Cross-Disease Transferability in Zero-Shot Binary Classification of Chest X-Rays.

Umaima Rahman, Abhishek Basu, Muhammad Uzair Khattak, Aniq Ur Rahman

Proceedings of the Machine Learning for Healthcare Conference, 2024

MRIShift: Disentangled Representation Learning for 3D MRI Lesion Segmentation Under Distributional Shifts.

Umaima Rahman, Guangyi Chen, Kun Zhang

Proceedings of the 12th European Workshop on Visual Information Processing, 2024