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cs.CV2025
Open-Source Manually Annotated Vocal Tract Database for Automatic Segmentation from 3D MRI Using Deep Learning: Benchmarking 2D and 3D Convolutional and Transformer Networks
Subin Erattakulangara, Karthika Kelat, Katie Burnham +4
Accurate segmentation of the vocal tract from magnetic resonance imaging (MRI) data is essential for various voice and speech applications. Manual segmentation is time intensive an…
eess.IV2025
Low Latency and Generalizable Dynamic MRI via L+S Alternating GD and Minimization
Silpa Babu, Sajan Goud Lingala, Namrata Vaswani
In this work, we develop novel MRI reconstruction approaches that are accurate, fast and low-latency for a large number of dynamic MRI applications, sampling schemes and sampling r…