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08/29/2023
Is visual explanation with Grad-CAM more reliable for deeper neural networks? a case study with automatic pneumothorax diagnosis
While deep learning techniques have provided the state-of-the-art perfor...
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08/28/2023
VesselShot: Few-shot learning for cerebral blood vessel segmentation
Angiography is widely used to detect, diagnose, and treat cerebrovascula...
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08/21/2023
Dense Error Map Estimation for MRI-Ultrasound Registration in Brain Tumor Surgery Using Swin UNETR
Early surgical treatment of brain tumors is crucial in reducing patient ...
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08/14/2023
How inter-rater variability relates to aleatoric and epistemic uncertainty: a case study with deep learning-based paraspinal muscle segmentation
Recent developments in deep learning (DL) techniques have led to great p...
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07/26/2023
Towards multi-modal anatomical landmark detection for ultrasound-guided brain tumor resection with contrastive learning
Homologous anatomical landmarks between medical scans are instrumental i...
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07/26/2023
FocalErrorNet: Uncertainty-aware focal modulation network for inter-modal registration error estimation in ultrasound-guided neurosurgery
In brain tumor resection, accurate removal of cancerous tissues while pr...
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06/12/2023
Deep Ultrasound Denoising Using Diffusion Probabilistic Models
Ultrasound images are widespread in medical diagnosis for musculoskeleta...
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03/10/2023
Phase Aberration Correction without Reference Data: An Adaptive Mixed Loss Deep Learning Approach
Phase aberration is one of the primary sources of image quality degradat...
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12/16/2022
Lateral Strain Imaging using Self-supervised and Physically Inspired Constraints in Unsupervised Regularized Elastography
Convolutional Neural Networks (CNN) have shown promising results for dis...
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10/31/2022
Homodyned K-distribution: parameter estimation and uncertainty quantification using Bayesian neural networks
Quantitative ultrasound (QUS) allows estimating the intrinsic tissue pro...
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10/31/2022
Infusing known operators in convolutional neural networks for lateral strain imaging in ultrasound elastography
Convolutional Neural Networks (CNN) have been employed for displacement ...
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09/23/2022
Transformer-Based Microbubble Localization
Ultrasound Localization Microscopy (ULM) is an emerging technique that e...
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07/13/2022
RESECT-SEG: Open access annotations of intra-operative brain tumor ultrasound images
Purpose: Registration and segmentation of magnetic resonance (MR) and ul...
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06/08/2022
Deep Estimation of Speckle Statistics Parametric Images
Quantitative Ultrasound (QUS) provides important information about the t...
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06/05/2022
Physically Inspired Constraint for Unsupervised Regularized Ultrasound Elastography
Displacement estimation is a critical step of virtually all Ultrasound E...
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01/16/2022
Robust Scatterer Number Density Segmentation of Ultrasound Images
Quantitative UltraSound (QUS) aims to reveal information about the tissu...
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10/27/2021
Vision Transformer for Classification of Breast Ultrasound Images
Medical ultrasound (US) imaging has become a prominent modality for brea...
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10/16/2021
Fast Strain Estimation and Frame Selection in Ultrasound Elastography using Machine Learning
Ultrasound Elastography aims to determine the mechanical properties of t...
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09/21/2021
An Ultra-Fast Method for Simulation of Realistic Ultrasound Images
Convolutional neural networks (CNNs) have attracted a rapidly growing in...
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09/20/2021
Automatic 3D Ultrasound Segmentation of Uterus Using Deep Learning
On-line segmentation of the uterus can aid effective image-based guidanc...
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08/09/2021
Explainable AI and susceptibility to adversarial attacks: a case study in classification of breast ultrasound images
Ultrasound is a non-invasive imaging modality that can be conveniently u...
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12/22/2020
Fast and Robust Localization of Surgical Array using Kalman Filter
Intraoperative tracking of surgical instruments is an inevitable task of...
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12/04/2020
Ultrasound Scatterer Density Classification Using Convolutional Neural Networks by Exploiting Patch Statistics
Quantitative ultrasound (QUS) can reveal crucial information on tissue p...
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02/19/2020
Fine tuning U-Net for ultrasound image segmentation: which layers?
Fine-tuning a network which has been trained on a large dataset is an al...
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02/17/2020
Automatic Frame Selection using CNN in Ultrasound Elastography
Ultrasound elastography is used to estimate the mechanical properties of...
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01/21/2020
Breast lesion segmentation in ultrasound images with limited annotated data
Ultrasound (US) is one of the most commonly used imaging modalities in b...
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11/13/2019
Automatic Frame Selection Using MLP Neural Network in Ultrasound Elastography
Ultrasound elastography estimates the mechanical properties of the tissu...
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11/13/2019
Fast Approximate Time-Delay Estimation in Ultrasound Elastography Using Principal Component Analysis
Time delay estimation (TDE) is a critical and challenging step in all ul...
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04/24/2019
