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07/31/2023
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging
Data uncertainties, such as sensor noise or occlusions, can introduce ir...
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06/05/2023
A Deep Learning Approach Utilizing Covariance Matrix Analysis for the ISBI Edited MRS Reconstruction Challenge
This work proposes a method to accelerate the acquisition of high-qualit...
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06/04/2023
SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation
Direction of arrival (DoA) estimation is a fundamental task in array pro...
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08/09/2022
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows
Melanoma is a serious form of skin cancer with high mortality rate at la...
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05/31/2022
SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series
Continuous monitoring with an ever-increasing number of sensors has beco...
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04/09/2022
Ultrasound Signal Processing: From Models to Deep Learning
Medical ultrasound imaging relies heavily on high-quality signal process...
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01/24/2022
Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning
Intravascular ultrasound (IVUS) offers a unique perspective in the treat...
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12/24/2021
Ultrasound Speckle Suppression and Denoising using MRI-derived Normalizing Flow Priors
Ultrasonography offers an inexpensive, widely-accessible and compact med...
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10/18/2021
Unsupervised Learned Kalman Filtering
In this paper we adapt KalmanNet, which is a recently pro-posed deep neu...
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10/10/2021
Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models
Providing a metric of uncertainty alongside a state estimate is often cr...
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10/04/2021
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning
The Gumbel-max trick is a method to draw a sample from a categorical dis...
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09/22/2021
Deep Augmented MUSIC Algorithm for Data-Driven DoA Estimation
Direction of arrival (DoA) estimation is a crucial task in sensor array ...
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07/21/2021
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics
Real-time state estimation of dynamical systems is a fundamental task in...
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05/26/2021
Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities
Unstructured neural network pruning algorithms have achieved impressive ...
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04/22/2020
Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI
Compressed sensing (CS) MRI relies on adequate undersampling of the k-sp...
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08/15/2019
Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging
Limitations on bandwidth and power consumption impose strict bounds on d...
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11/20/2018
Deep Unfolded Robust PCA with Application to Clutter Suppression in Ultrasound
Contrast enhanced ultrasound is a radiation-free imaging modality which ...
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04/20/2018