43 citations · 81 across the 9 of their papers we have counts for
9 papers
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…
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…
Fast Low Rank column-wise Compressive Sensing for Accelerated Dynamic MRI
Silpa Babu, Sajan Goud Lingala, Namrata Vaswani
This work develops a novel set of algorithms, alternating Gradient Descent (GD) and minimization for MRI (altGDmin-MRI1 and altGDmin-MRI2), for accelerated dynamic MRI by assuming…
Modeling human observer detection in undersampled magnetic resonance imaging (MRI) reconstruction with total variation and wavelet sparsity regularization
Alexandra G. O'Neill, Emely L. Valdez, Sajan Goud Lingala +1
Purpose: Task-based assessment of image quality in undersampled magnetic resonance imaging provides a way of evaluating the impact of regularization on task performance. In this wo…
Prospectively accelerated dynamic speech MRI at 3 Tesla using a self-navigated spiral based manifold regularized scheme
Rushdi Zahid Rusho, Abdul Haseeb Ahmed, Stanley Kruger +6
This work proposes a self-navigated variable density spiral(VDS) based manifold regularization scheme to prospectively improve dynamic speech MRI at 3T. Short readout 1.3ms spirals…
Fast Low Rank column-wise Compressive Sensing for Accelerated Dynamic MRI
Silpa Babu, Sajan Goud Lingala, Namrata Vaswani
This work develops a fast, memory-efficient, and general algorithm for accelerated/undersampled dynamic MRI by assuming an approximate LR model on the matrix formed by the vectoriz…
A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images
Yongwan Lim, Asterios Toutios, Yannick Bliesener +16
Real-time magnetic resonance imaging (RT-MRI) of human speech production is enabling significant advances in speech science, linguistics, bio-inspired speech technology development…
Tracer Kinetic Models as Temporal Constraints during DCE-MRI reconstruction
Sajan Goud Lingala, Yi Guo, R. Marc Lebel +4
Purpose: To apply tracer kinetic models as temporal constraints during reconstruction of under-sampled dynamic contrast enhanced (DCE) MRI. Methods: A library of concentration v.s…
Deformation corrected compressed sensing (DC-CS): a novel framework for accelerated dynamic MRI
Sajan Goud Lingala, Edward DiBella, Mathews Jacob
We propose a novel deformation corrected compressed sensing (DC-CS) framework to recover dynamic magnetic resonance images from undersampled measurements. We introduce a generalize…