31 citations · 98 across the 19 of their papers we have counts for
21 papers
PLSP (Pre-hoc Liminal Space Profiling): OOD Prediction over Detection -- An Anticipatory Approach for Machine Learning Model Reliability
Vipul Bansal, Himanshu Buckchash, Balasubramanian Raman +1
Out-of-Distribution (OOD) data poses a significant threat to machine learning models, often leading to model failure during deployment. All existing OOD detection methods are post-…
Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy
Palak Handa, Amirreza Mahbod, Florian Schwarzhans +11
We present the Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy. It was virtually organized by the Research Center for Medical Imag…
DeepMediX: A Deep Learning-Driven Resource-Efficient Medical Diagnosis Across the Spectrum
Kishore Babu Nampalle, Pradeep Singh, Uppala Vivek Narayan +1
In the rapidly evolving landscape of medical imaging diagnostics, achieving high accuracy while preserving computational efficiency remains a formidable challenge. This work presen…
Vision Through the Veil: Differential Privacy in Federated Learning for Medical Image Classification
Kishore Babu Nampalle, Pradeep Singh, Uppala Vivek Narayan +1
The proliferation of deep learning applications in healthcare calls for data aggregation across various institutions, a practice often associated with significant privacy concerns.…
See Through the Fog: Curriculum Learning with Progressive Occlusion in Medical Imaging
Pradeep Singh, Kishore Babu Nampalle, Uppala Vivek Narayan +1
In recent years, deep learning models have revolutionized medical image interpretation, offering substantial improvements in diagnostic accuracy. However, these models often strugg…
Transcending Grids: Point Clouds and Surface Representations Powering Neurological Processing
Kishore Babu Nampalle, Pradeep Singh, Vivek Narayan Uppala +3
In healthcare, accurately classifying medical images is vital, but conventional methods often hinge on medical data with a consistent grid structure, which may restrict their overa…