34 citations · 106 across the 30 of their papers we have counts for
37 papers
Modality Dropout for Multimodal Device Directed Speech Detection using Verbal and Non-Verbal Features
Gautam Krishna, Sameer Dharur, Oggi Rudovic +4
Device-directed speech detection (DDSD) is the binary classification task of distinguishing between queries directed at a voice assistant versus side conversation or background spe…
Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization
Marius Arvinte, Sriram Vishwanath, Ahmed H. Tewfik +1
Accelerated multi-coil magnetic resonance imaging reconstruction has seen a substantial recent improvement combining compressed sensing with deep learning. However, most of these m…
Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop
Yan Han, Chongyan Chen, Ahmed Tewfik +4
Building a highly accurate predictive model for classification and localization of abnormalities in chest X-rays usually requires a large number of manually annotated labels and pi…
Brain Signals to Rescue Aphasia, Apraxia and Dysarthria Speech Recognition
Gautam Krishna, Mason Carnahan, Shilpa Shamapant +6
In this paper, we propose a deep learning-based algorithm to improve the performance of automatic speech recognition (ASR) systems for aphasia, apraxia, and dysarthria speech by ut…
Pneumonia Detection on Chest X-ray using Radiomic Features and Contrastive Learning
Yan Han, Chongyan Chen, Ahmed H Tewfik +2
Chest X-ray becomes one of the most common medical diagnoses due to its noninvasiveness. The number of chest X-ray images has skyrocketed, but reading chest X-rays still have been…
EQ-Net: A Unified Deep Learning Framework for Log-Likelihood Ratio Estimation and Quantization
Marius Arvinte, Ahmed H. Tewfik, Sriram Vishwanath
In this work, we introduce EQ-Net: the first holistic framework that solves both the tasks of log-likelihood ratio (LLR) estimation and quantization using a data-driven method. We…