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08/08/2023
Improving Medical Image Classification in Noisy Labels Using Only Self-supervised Pretraining
Noisy labels hurt deep learning-based supervised image classification pe...
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06/21/2023
M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis Tasks
Acquiring properly annotated data is expensive in the medical field as i...
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02/05/2023
A Disparity Refinement Framework for Learning-based Stereo Matching Methods in Cross-domain Setting for Laparoscopic Images
Purpose: Stereo matching methods that enable depth estimation are crucia...
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11/07/2022
Learning Feature Descriptors for Pre- and Intra-operative Point Cloud Matching for Laparoscopic Liver Registration
Purpose: In laparoscopic liver surgery (LLS), pre-operative information ...
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09/16/2021
A Multi-Task Cross-Task Learning Architecture for Ad-hoc Uncertainty Estimation in 3D Cardiac MRI Image Segmentation
Medical image segmentation has significantly benefitted thanks to deep l...
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03/30/2021
CNN-based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRI
Patient-specific left ventricle (LV) myocardial models have the potentia...
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04/21/2020
L-CO-Net: Learned Condensation-Optimization Network for Clinical Parameter Estimation from Cardiac Cine MRI
In this work, we implement a fully convolutional segmenter featuring bot...
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04/05/2020
CondenseUNet: A Memory-Efficient Condensely-Connected Architecture for Bi-ventricular Blood Pool and Myocardium Segmentation
With the advent of Cardiac Cine Magnetic Resonance (CMR) Imaging, there ...
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02/24/2019
U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instrument
Conventional therapy approaches limit surgeons' dexterity control due to...
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09/26/2018
Left Ventricle Segmentation and Quantification from Cardiac Cine MR Images via Multi-task Learning
Segmentation of the left ventricle and quantification of various cardiac...
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11/03/2016
