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Sarah Barman
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2020 – today
- 2024
- [c26]Pushpa Kumarapeli
, Simon de Lusignan
Advancing Healthcare Sustainability: Embracing MACH Architecture for Health IT System Transformation. MIE 2024: 1565-1566 - 2021
- [c25]Roshan Alex Welikala, Paolo Remagnino, Jian Han Lim, Chee Seng Chan, Senthilmani Rajendran, Thomas George Kallarakkal, Rosnah Binti Zain
Clinically Guided Trainable Soft Attention for Early Detection of Oral Cancer. CAIP (1) 2021: 226-236 - [c24]Jian Han Lim, Chun Shui Tan, Chee Seng Chan, Roshan Alex Welikala, Paolo Remagnino, Senthilmani Rajendran, Thomas George Kallarakkal, Rosnah Binti Zain
D'OraCa: Deep Learning-Based Classification of Oral Lesions with Mouth Landmark Guidance for Early Detection of Oral Cancer. MIUA 2021: 408-422 - 2020
- [j26]Roshan Alex Welikala
Automated Detection and Classification of Oral Lesions Using Deep Learning for Early Detection of Oral Cancer. IEEE Access 8: 132677-132693 (2020) - [j25]Akara Thammastitkul, Bunyarit Uyyanonvara, Sarah A. Barman:
Improving microaneurysm detection from non-dilated diabetic retinopathy retinal images using feature optimisation. Int. J. Comput. Aided Eng. Technol. 12(3): 355-369 (2020) - [c23]Roshan Alex Welikala, Paolo Remagnino, Jian Han Lim, Chee Seng Chan, Senthilmani Rajendran, Thomas George Kallarakkal, Rosnah Binti Zain
Fine-Tuning Deep Learning Architectures for Early Detection of Oral Cancer. ISMCO 2020: 25-31
2010 – 2019
- 2019
- [j24]Rahil Hosseini, Salah Dine Qanadli
Corrections to "An Automatic Approach for Learning and Tuning Gaussian Interval Type-2 Fuzzy Membership Functions Applied to Lung CAD Classification System". IEEE Trans. Fuzzy Syst. 27(8): 1700 (2019) - 2017
- [j23]Muhammad Moazam Fraz
Multiscale segmentation of exudates in retinal images using contextual cues and ensemble classification. Biomed. Signal Process. Control. 35: 50-62 (2017) - [j22]R. A. Welikala, P. J. Foster, Peter Whincup
Automated arteriole and venule classification using deep learning for retinal images from the UK Biobank cohort. Comput. Biol. Medicine 90: 23-32 (2017) - [c22]R. A. Welikala, M. M. Fraz, M. M. Habib, S. Daniel-Tong, Max Yates
Automated quantification of retinal vessel morphometry in the UK biobank cohort. IPTA 2017: 1-6 - 2016
- [j21]R. A. Welikala, M. M. Fraz
Automated retinal image quality assessment on the UK Biobank dataset for epidemiological studies. Comput. Biol. Medicine 71: 67-76 (2016) - [c21]M. M. Habib, R. A. Welikala, Andreas Hoppe, Christopher G. Owen
Microaneurysm detection in retinal images using an ensemble classifier. IPTA 2016: 1-6 - 2015
- [j20]R. A. Welikala
Genetic algorithm based feature selection combined with dual classification for the automated detection of proliferative diabetic retinopathy. Comput. Medical Imaging Graph. 43: 64-77 (2015) - [j19]Muhammad Moazam Fraz
QUARTZ: Quantitative Analysis of Retinal Vessel Topology and size - An automated system for quantification of retinal vessels morphology. Expert Syst. Appl. 42(20): 7221-7234 (2015) - [c20]Sarah Barman:
Tutorial I: Medical image analysis. ACPR 2015: xxi - [c19]R. A. Welikala, Muhammad Moazam Fraz
Automated retinal vessel recognition and measurements on large datasets. EMBC 2015: 5239-5242 - 2014
- [j18]Muhammad Moazam Fraz
Delineation of blood vessels in pediatric retinal images using decision trees-based ensemble classification. Int. J. Comput. Assist. Radiol. Surg. 9(5): 795-811 (2014) - [j17]R. A. Welikala
Automated detection of proliferative diabetic retinopathy using a modified line operator and dual classification. Comput. Methods Programs Biomed. 114(3): 247-261 (2014) - [c18]M. M. Fraz, Alicja R. Rudnicka
Automated Arteriole and Venule Recognition in Retinal Images using Ensemble Classification. VISAPP (3) 2014: 194-202 - 2013
- [j16]M. M. Fraz
Quantification of blood vessel calibre in retinal images of multi-ethnic school children using a model based approach. Comput. Medical Imaging Graph. 37(1): 48-60 (2013) - [j15]Akara Sopharak, Bunyarit Uyyanonvara, Sarah Barman
Simple hybrid method for fine microaneurysm detection from non-dilated diabetic retinopathy retinal images. Comput. Medical Imaging Graph. 37(5-6): 394-402 (2013) - [j14]Muhammad Moazam Fraz
Application of Morphological Bit Planes in Retinal Blood Vessel Extraction. J. Digit. Imaging 26(2): 274-286 (2013) - 2012
- [j13]Muhammad Moazam Fraz
Blood vessel segmentation methodologies in retinal images - A survey. Comput. Methods Programs Biomed. 108(1): 407-433 (2012) - [j12]M. M. Fraz
An approach to localize the retinal blood vessels using bit planes and centerline detection. Comput. Methods Programs Biomed. 108(2): 600-616 (2012) - [j11]Muhammad Moazam Fraz
An Ensemble Classification-Based Approach Applied to Retinal Blood Vessel Segmentation. IEEE Trans. Biomed. Eng. 59(9): 2538-2548 (2012) - [j10]Rahil Hosseini
An Automatic Approach for Learning and Tuning Gaussian Interval Type-2 Fuzzy Membership Functions Applied to Lung CAD Classification System. IEEE Trans. Fuzzy Syst. 20(2): 224-234 (2012) - [c17]M. M. Fraz
Ensemble Classification System Applied for Retinal Vessel Segmentation on Child Images Containing Various Vessel Profiles. ICIAR (2) 2012: 380-389 - [c16]Muhammad Moazam Fraz
A Model Based Approach for Vessel Caliber Measurement in Retinal Images. SITIS 2012: 129-136 - [d1]James S. Cope, Thibaut Beghin, Paolo Remagnino, Sarah Barman:
One-hundred plant species leaves data set. UCI Machine Learning Repository, 2012 - 2011
- [j9]Cattleya Duanggate, Bunyarit Uyyanonvara, Stanislav S. Makhanov
Parameter-free optic disc detection. Comput. Medical Imaging Graph. 35(1): 51-63 (2011) - [j8]Robert J. Mullen, Sarah Barman, Paolo Remagnino, Dorothy Ndedi Monekosso
Towards autonomous robot swarms for multi-target localisation and monitoring with applications to counter IED operations. Int. J. Intell. Def. Support Syst. 4(1): 87-107 (2011) - [j7]Cattleya Duanggate, Bunyarit Uyyanonvara, Stanislav S. Makhanov
Object detection with feature stability over scale space. J. Vis. Commun. Image Represent. 22(4): 345-352 (2011) - [c15]M. M. Fraz
A supervised method for retinal blood vessel segmentation using line strength, multiscale Gabor and morphological features. ICSIPA 2011: 410-415 - [c14]M. M. Fraz
Retinal Vessel Extraction Using First-Order Derivative of Gaussian and Morphological Processing. ISVC (1) 2011: 410-420 - [c13]Cattleya Duanggate, Bunyarit Uyyanonvara, Stanislav S. Makhanov, Sarah Barman, Thomas H. Williamson:
Drusen Detection based on Scale-space with Feature Stability. MIUA 2011: 317-322 - 2010
- [j6]J. Ng, S. T. Clay, Sarah A. Barman
Maximum likelihood estimation of vessel parameters from scale space analysis. Image Vis. Comput. 28(1): 55-63 (2010) - [c12]James S. Cope, Paolo Remagnino, Sarah Barman
The Extraction of Venation from Leaf Images by Evolved Vein Classifiers and Ant Colony Algorithms. ACIVS (1) 2010: 135-144 - [c11]Thibaut Beghin, James S. Cope, Paolo Remagnino, Sarah Barman
Shape and Texture Based Plant Leaf Classification. ACIVS (2) 2010: 345-353 - [c10]Robert J. Mullen, Dorothy Ndedi Monekosso
Reactive Coordination and Adaptive Lattice Formation in Mobile Robotic Surveillance Swarms. DARS 2010: 229-242 - [c9]Rahil Hosseini
A Genetic type-2 fuzzy logic system for pattern recognition in computer aided detection systems. FUZZ-IEEE 2010: 1-7 - [c8]Rahil Hosseini
A Fuzzy Logic System for Classification of the Lung Nodule in Digital Images in Computer Aided Detection. ICDS 2010: 255-259 - [c7]James S. Cope, Paolo Remagnino, Sarah Barman
Plant Texture Classification Using Gabor Co-occurrences. ISVC (2) 2010: 669-677 - [c6]Rahil Hosseini
Modeling uncertainty in classification design of a computer-aided detection system. Computer-Aided Diagnosis 2010: 76242V
2000 – 2009
- 2009
- [j5]Robert J. Mullen, Dorothy Ndedi Monekosso
A review of ant algorithms. Expert Syst. Appl. 36(6): 9608-9617 (2009) - [j4]Akara Sopharak, Bunyarit Uyyanonvara, Sarah Barman
Comparative Analysis of Automatic Exudate Detection between Machine Learning and Traditional Approaches. IEICE Trans. Inf. Syst. 92-D(11): 2264-2271 (2009) - [j3]Akara Sopharak, Bunyarit Uyyanonvara, Sarah Barman
Automatic Exudate Detection from Non-dilated Diabetic Retinopathy Retinal Images Using Fuzzy C-means Clustering. Sensors 9(3): 2148-2161 (2009) - [c5]Robert J. Mullen, Dorothy Ndedi Monekosso
Autonomous control laws for mobile robotic surveillance swarms. CISDA 2009: 1-6 - 2008
- [j2]Akara Sopharak, Bunyarit Uyyanonvara, Sarah Barman
Automatic detection of diabetic retinopathy exudates from non-dilated retinal images using mathematical morphology methods. Comput. Medical Imaging Graph. 32(8): 720-727 (2008) - [j1]Lassada Sukkaew, Bunyarit Uyyanonvara, Stanislav S. Makhanov
Automatic Tortuosity-Based Retinopathy of Prematurity Screening System. IEICE Trans. Inf. Syst. 91-D(12): 2868-2874 (2008) - [c4]Robert J. Mullen, Dorothy Ndedi Monekosso
Artificial Ants to Extract Leaf Outlines and Primary Venation Patterns. ANTS Conference 2008: 251-258 - 2006
- [c3]James Clarke, Sarah Barman, Paolo Remagnino, Ken Bailey, Don Kirkup, Simon Mayo, Paul Wilkin:
Venation Pattern Analysis of Leaf Images. ISVC (2) 2006: 427-436 - 2004
- [e1]Andreas Hoppe, Sarah Barman, Tim Ellis:
British Machine Vision Conference, BMVC 2004, Kingston, UK, September 7-9, 2004. Proceedings. BMVA Press 2004, ISBN 1-901725-25-1 [contents] - 2000
- [c2]Sarah A. Barman, Bunyarit Uyyanonvara, James Frederick Boyce, Giorgia Sanguinetti, Emma J. Hollick, William R. Meacock, David J. Spalton, Andrew P. Paplinski:
Automatic quantification of posterior capsule opacification. Image Processing 2000 - [c1]Andrew P. Paplinski, James Frederick Boyce, Sarah A. Barman:
Improvements in interpretation of posterior capsular opacification (PCO) images. Image Processing 2000
1990 – 1999
- 1996
- [b1]Sarah Ann Barman:
Measurement of profiled surfaces using polarising optical interferometry. King's College London, UK, 1996
Coauthor Index
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last updated on 2024-11-28 20:32 CET by the dblp team
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