4 citations · 6 across the 5 of their papers we have counts for
6 papers
LVADNet3D: A Deep Autoencoder for Reconstructing 3D Intraventricular Flow from Sparse Hemodynamic Data
Mohammad Abdul Hafeez Khan, Marcello Mattei Di Eugeni, Benjamin Diaz +3
Accurate assessment of intraventricular blood flow is essential for evaluating hemodynamic conditions in patients supported by Left Ventricular Assist Devices (LVADs). However, cli…
Adapt, But Don't Forget: Fine-Tuning and Contrastive Routing for Lane Detection under Distribution Shift
Mohammed Abdul Hafeez Khan, Parth Ganeriwala, Sarah M. Lehman +3
Lane detection models are often evaluated in a closed-world setting, where training and testing occur on the same dataset. We observe that, even within the same domain, cross-datas…
Few-Shot Classification and Anatomical Localization of Tissues in SPECT Imaging
Mohammed Abdul Hafeez Khan, Samuel Morries Boddepalli, Siddhartha Bhattacharyya +1
Accurate classification and anatomical localization are essential for effective medical diagnostics and research, which may be efficiently performed using deep learning techniques.…
Runway vs. Taxiway: Challenges in Automated Line Identification and Notation Approaches
Parth Ganeriwala, Amy Alvarez, Abdullah AlQahtani +3
The increasing complexity of autonomous systems has amplified the need for accurate and reliable labeling of runway and taxiway markings to ensure operational safety. Precise detec…
AssistTaxi: A Comprehensive Dataset for Taxiway Analysis and Autonomous Operations
Parth Ganeriwala, Siddhartha Bhattacharyya, Sean Gunther +4
The availability of high-quality datasets play a crucial role in advancing research and development especially, for safety critical and autonomous systems. In this paper, we presen…
ALINA: Advanced Line Identification and Notation Algorithm
Mohammed Abdul Hafeez Khan, Parth Ganeriwala, Siddhartha Bhattacharyya +2
Labels are the cornerstone of supervised machine learning algorithms. Most visual recognition methods are fully supervised, using bounding boxes or pixel-wise segmentations for obj…