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An approach to localize the retinal blood vessels using bit planes and centerline detection

Computer methods and programs in biomedicine, 2012-11, Vol.108 (2), p.600-616

2012

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Blood vessel segmentation methodologies in retinal images – A survey

Computer methods and programs in biomedicine, 2012-10, Vol.108 (1), p.407-433

2012

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Genetic algorithm based feature selection combined with dual classification for the automated detection of proliferative diabetic retinopathy

Computerized medical imaging and graphics, 2015-07, Vol.43, p.64-77

2015

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Automated retinal image quality assessment on the UK Biobank dataset for epidemiological studies

Computers in biology and medicine, 2016-04, Vol.71, p.67-76

2016

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VR-PROUD: Vehicle Re-identification using PROgressive Unsupervised Deep architecture

Pattern recognition, 2019-06, Vol.90, p.52-65

2019

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Quantification of blood vessel calibre in retinal images of multi-ethnic school children using a model based approach

Computerized medical imaging and graphics, 2013, Vol.37 (1), p.48-60

2013

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Residual learning with annularly convolutional neural networks for classification and segmentation of 3D point clouds

Neurocomputing (Amsterdam), 2023-03, Vol.526, p.96-108

2023

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Beyond local patches: Preserving global–local interactions by enhancing self-attention via 3D point cloud tokenization

Pattern recognition, 2024-11, Vol.155, p.110712, Article 110712

2024

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Unveiling the Potential of Vision Transformer Architecture for Person Re-identification

2022 24th International Multitopic Conference (INMIC), 2022, p.1-6

2022

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Learning Disease Specific Knowledge Graph from Unstructured Radiology Reports and Electronic Health Records (EHRs)

2022 17th International Conference on Emerging Technologies (ICET), 2022, p.101-106

2022

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Smart Visual Surveillance: Proactive Person Re-identification instead of Impulsive Person Search

2020 IEEE 23rd International Multitopic Conference (INMIC), 2020, p.1-6

2020

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Recognition of Faces Wearing Masks Using Skip Connection Based Dense Units Augmented With Self Restrained Triplet Loss

2022 24th International Multitopic Conference (INMIC), 2022, p.1-7

2022

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QUARTZ: Quantitative Analysis of Retinal Vessel Topology and size – An automated system for quantification of retinal vessels morphology

Expert systems with applications, 2015-11, Vol.42 (20), p.7221-7234

2015

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The automated detection of proliferative diabetic retinopathy using dual ensemble classification

International journal of diagnostic imaging, 2015-06, Vol.2 (2)

2015

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Multiscale Dilated UNet for Segmentation of Multi-Organ Nuclei in Digital Histology Images

2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET), 2020, p.68-72

2020

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Extraction of Rice Phenological Metrics Using Temporally Correlated Multispectral Drone Imagery

2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2022, p.163-169

2022

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Automated quantification of retinal vessel morphometry in the UK biobank cohort

2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017, p.1-6

2017

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Evaluation of retinal vessel segmentation methodologies based on combination of vessel centerlines and morphological processing

2008 4th International Conference on Emerging Technologies, 2008, p.232-236

2008

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Retinal vessel segmentation using ensemble classifier of bagged decision trees

IET Conference Proceedings, 2012, p.B9

2012

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Some results of experimentation with extreme programming paradigm

7th International Multi Topic Conference, 2003. INMIC 2003, 2003, p.387-390

2003

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An approach to localize the retinal blood vessels using bit planes and centerline detection

Blood vessel segmentation methodologies in retinal images – A survey

Genetic algorithm based feature selection combined with dual classification for the automated detection of proliferative diabetic retinopathy

Automated retinal image quality assessment on the UK Biobank dataset for epidemiological studies

VR-PROUD: Vehicle Re-identification using PROgressive Unsupervised Deep architecture

Quantification of blood vessel calibre in retinal images of multi-ethnic school children using a model based approach

Residual learning with annularly convolutional neural networks for classification and segmentation of 3D point clouds

Beyond local patches: Preserving global–local interactions by enhancing self-attention via 3D point cloud tokenization

Unveiling the Potential of Vision Transformer Architecture for Person Re-identification

Learning Disease Specific Knowledge Graph from Unstructured Radiology Reports and Electronic Health Records (EHRs)

Smart Visual Surveillance: Proactive Person Re-identification instead of Impulsive Person Search

Recognition of Faces Wearing Masks Using Skip Connection Based Dense Units Augmented With Self Restrained Triplet Loss

QUARTZ: Quantitative Analysis of Retinal Vessel Topology and size – An automated system for quantification of retinal vessels morphology

The automated detection of proliferative diabetic retinopathy using dual ensemble classification

Multiscale Dilated UNet for Segmentation of Multi-Organ Nuclei in Digital Histology Images

Extraction of Rice Phenological Metrics Using Temporally Correlated Multispectral Drone Imagery

Automated quantification of retinal vessel morphometry in the UK biobank cohort

Evaluation of retinal vessel segmentation methodologies based on combination of vessel centerlines and morphological processing

Retinal vessel segmentation using ensemble classifier of bagged decision trees

Some results of experimentation with extreme programming paradigm

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