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A generalized deep learning framework for whole-slide image segmentation and analysis

Scientific reports, 2021-06, Vol.11 (1), p.11579-11579, Article 11579

2021

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X-ray scintillator lens-coupled with CMOS camera for pre-clinical cardiac vascular imaging-A feasibility study

PloS one, 2022-02, Vol.17 (2), p.e0262913-e0262913

2022

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Physics informed contour selection for rapid image segmentation

Scientific reports, 2024-03, Vol.14 (1), p.6996-6996

2024

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Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis

Frontiers in computational neuroscience, 2020-02, Vol.14, p.6-6

2020

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Structurally-constrained optical-flow-guided adversarial generation of synthetic CT for MR-only radiotherapy treatment planning

Scientific reports, 2022-09, Vol.12 (1), p.14855-14855, Article 14855

2022

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Radiomics as a non-invasive adjunct to Chest CT in distinguishing benign and malignant lung nodules

Scientific reports, 2023-11, Vol.13 (1), p.19062-19062, Article 19062

2023

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Radiomics analysis for distinctive identification of COVID-19 pulmonary nodules from other benign and malignant counterparts

Scientific reports, 2024-03, Vol.14 (1), p.7079-7079

2024

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Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches

Frontiers in neuroscience, 2020-02, Vol.14, p.27-27

2020

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Corrigendum: Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis

Frontiers in computational neuroscience, 2021-01, Vol.15, p.651959-651959

2021

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Fully convolutional multi-scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers

Medical image analysis, 2019-01, Vol.51, p.21-45

2019

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Estimation of myocardial deformation using correlation image velocimetry

BMC medical imaging, 2017-04, Vol.17 (1), p.25-25, Article 25

2017

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Influence of europium (Eu) doped tantalum oxide nanoparticles (TaOx NPs): A potential contrast agent

Materials letters, 2021-10, Vol.300, p.130214, Article 130214

2021

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Densely Connected Fully Convolutional Network for Short-Axis Cardiac Cine MR Image Segmentation and Heart Diagnosis Using Random Forest

Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, p.140-151

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Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

IEEE transactions on medical imaging, 2018-11, Vol.37 (11), p.2514-2525

2018

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The Liver Tumor Segmentation Benchmark (LiTS)

Medical image analysis, 2023-02, Vol.84, p.102680, Article 102680

2023

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Semisupervised learning using denoising autoencoders for brain lesion detection and segmentation

Journal of medical imaging (Bellingham, Wash.), 2017-10, Vol.4 (4), p.041311-041311

2017

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Longitudinal multiple sclerosis lesion segmentation: Resource and challenge

NeuroImage (Orlando, Fla.), 2017-03, Vol.148, p.77-102

2017

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Recurrent Attention Mechanism Networks for Enhanced Classification of Biomedical Images

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019, p.1260-1264

2019

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Asteroseismic determination of fundamental parameters of Sun-like stars using multilayered neural networks

Monthly notices of the Royal Astronomical Society, 2016-10, Vol.461 (4), p.4206-4214

2016

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PAIP 2019: Liver cancer segmentation challenge

Medical image analysis, 2021-01, Vol.67, p.101854-101854, Article 101854

2021

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Solar Wind Prediction Using Deep Learning

Space Weather, 2020-09, Vol.18 (9), p.n/a

2020

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Brain Tumor Segmentation Using Dense Fully Convolutional Neural Network

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.309-319

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DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system

Medical image analysis, 2022-08, Vol.80, p.102485-102485, Article 102485

2022

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Data mining framework for fatty liver disease classification in ultrasound: A hybrid feature extraction paradigm

Medical physics (Lancaster), 2012-07, Vol.39 (7), p.4255-4264

2012

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Oxygenated graphene quantum dots (GQDs) synthesized using laser ablation for long-term real-time tracking and imaging

RSC advances, 2017, Vol.7 (85), p.53822-53829

2017

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A generalized deep learning framework for whole-slide image segmentation and analysis

X-ray scintillator lens-coupled with CMOS camera for pre-clinical cardiac vascular imaging-A feasibility study

Physics informed contour selection for rapid image segmentation

Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis

Structurally-constrained optical-flow-guided adversarial generation of synthetic CT for MR-only radiotherapy treatment planning

Radiomics as a non-invasive adjunct to Chest CT in distinguishing benign and malignant lung nodules

Radiomics analysis for distinctive identification of COVID-19 pulmonary nodules from other benign and malignant counterparts

Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches

Corrigendum: Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis

Fully convolutional multi-scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers

Estimation of myocardial deformation using correlation image velocimetry

Influence of europium (Eu) doped tantalum oxide nanoparticles (TaOx NPs): A potential contrast agent

Densely Connected Fully Convolutional Network for Short-Axis Cardiac Cine MR Image Segmentation and Heart Diagnosis Using Random Forest

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

The Liver Tumor Segmentation Benchmark (LiTS)

Semisupervised learning using denoising autoencoders for brain lesion detection and segmentation

Longitudinal multiple sclerosis lesion segmentation: Resource and challenge

Recurrent Attention Mechanism Networks for Enhanced Classification of Biomedical Images

Asteroseismic determination of fundamental parameters of Sun-like stars using multilayered neural networks

PAIP 2019: Liver cancer segmentation challenge

Solar Wind Prediction Using Deep Learning

Brain Tumor Segmentation Using Dense Fully Convolutional Neural Network

DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system

Data mining framework for fatty liver disease classification in ultrasound: A hybrid feature extraction paradigm

Oxygenated graphene quantum dots (GQDs) synthesized using laser ablation for long-term real-time tracking and imaging

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