Publications: Prof Gregory Slabaugh
Rauseo E, Abdulkareem M, Khan A, Cooper J, Lee AM, Aung N, Slabaugh GG, Petersen SE
(
2023
)
.
Phenotyping left ventricular systolic dysfunction in asymptomatic individuals for improved risk stratification
.
European Heart Journal Cardiovascular Imaging
vol.
24
,
(
10
)
1363
-
1373
.
Rauseo E, Salih A, Raisi-Estabragh Z, Aung N, Khanderia N, Slabaugh GG, Marshall CR, Neubauer S et al.
(
2023
)
.
Ischemic Heart Disease and Vascular Risk Factors Are Associated With Accelerated Brain Aging
.
JACC: Cardiovascular Imaging
vol.
16
,
(
7
)
905
-
915
.
Chen R, Zheng B, Zhang H, Chen Q, Yan C, Slabaugh G, Yuan S
(
2023
)
.
Improving Dynamic HDR Imaging with Fusion Transformer
.
Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023
.
vol.
37
,
340
-
349
.
Fu Q, Xie H, Qin Z, Slabaugh G, Tao X
(
2023
)
.
Vector Quantized Semantic Communication System
.
IEEE Wireless Communications Letters1
-
1
.
Bransby KM, Tufaro V, Cap M, Slabaugh G, Bourantas C, Zhang Q
(
2023
)
.
3D Coronary Vessel Reconstruction from Bi-Plane Angiography Using Graph Convolutional Networks
.
Proceedings - International Symposium on Biomedical Imaging
.
vol.
2023-April
,
Slabaugh G, Beltran L, Rizvi H, Deloukas P, Marouli E
(
2023
)
.
Applications of machine and deep learning to thyroid cytology and histopathology: a review
.
Frontiers in Oncology
vol.
13
,
Bransby KM, Slabaugh G, Bourantas C, Zhang Q
(
2023
)
.
Joint Dense-Point Representation for Contour-Aware Graph Segmentation
.
vol.
14222 LNCS
,
Alwazzan O, Khan A, Patras I, Slabaugh G
(
2023
)
.
MOAB: Multi-Modal Outer Arithmetic Block for Fusion of Histopathological Images and Genetic Data for Brain Tumor Grading
.
Proceedings - International Symposium on Biomedical Imaging
.
vol.
2023-April
,
Arain Z, Iliodromiti S, Slabaugh G, David AL, Chowdhury TT
(
2023
)
.
Machine learning and disease prediction in obstetrics
.
Current Research in Physiology
vol.
6
,
Khan A, Alwazzan O, Benning M, Slabaugh G
(
2023
)
.
Sequential Segmentation of the Left Atrium and Atrial Scars Using a Multi-scale Weight Sharing Network and Boundary-Based Processing
.
vol.
13586 LNCS
,
Zheng B, Yuan S, Yan C, Tian X, Zhang J, Sun Y, Liu L, Leonardis A et al.
(
2022
)
.
Learning Frequency Domain Priors for Image Demoireing
.
IEEE Transactions on Pattern Analysis and Machine Intelligence
vol.
44
,
(
11
)
7705
-
7717
.
Zheng B, Pan X, Zhang H, Zhou X, Slabaugh G, Yan C, Yuan S
(
2022
)
.
DomainPlus: Cross Transform Domain Learning towards High Dynamic Range Imaging
.
MM 2022 - Proceedings of the 30th ACM International Conference on Multimedia
.
1954
-
1963
.
Catley-Chandar S, Tanay T, Vandroux L, Leonardis A, Slabaugh G, Perez-Pellitero E
(
2022
)
.
FlexHDR: Modelling Alignment and Exposure Uncertainties for Flexible HDR Imaging
.
IEEE Transactions on Image Processing
Zhao H, Zheng B, Yuan S, Zhang H, Yan C, Li L, Slabaugh G
(
2022
)
.
CBREN: Convolutional Neural Networks for Constant Bit Rate Video Quality Enhancement
.
IEEE Transactions on Circuits and Systems for Video Technology
vol.
32
,
(
7
)
4138
-
4149
.
Tanay T, Sootla A, Maggioni M, Dokania PK, Torr PHS, Leonardis A, Slabaugh G
(
2022
)
.
Diagnosing and Preventing Instabilities in Recurrent Video Processing
.
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sun Y, Li L, Yao T, Lu T, Zheng B, Yan C, Zhang H, Bao Y et al.
(
2022
)
.
Bidirectional difference locating and semantic consistency reasoning for change captioning
.
International Journal of Intelligent Systems
vol.
37
,
(
5
)
2969
-
2987
.
Zheng B, Chen Q, Yuan S, Zhou X, Zhang H, Zhang J, Yan C, Slabaugh G
(
2022
)
.
Constrained Predictive Filters for Single Image Bokeh Rendering
.
IEEE Transactions on Computational Imaging
vol.
8
,
346
-
357
.
Moran S, McDonagh S, Slabaugh G
(
2021
)
.
CuRL: Neural curve layers for global image enhancement
.
Proceedings - International Conference on Pattern Recognition
.
Conference:
International Conference on Pattern Recognition9796
-
9803
.
Yang G, Zhuang X, Khan H, Nyktari E, Haldar S, Li L, Wage R, Ye X et al.
(
2018
)
.
Left Atrial Scarring Segmentation from Delayed-Enhancement Cardiac MRI Images: A Deep Learning Approach
.
Cardiovascular Imaging and Image Analysis
,
Taylor & Francis
Yang G, Zhuang X, Khan H, Haldar S, Nyktari E, Li L, Wage R, Ye X et al.
(
2018
)
.
Fully automatic segmentation and objective assessment of atrial scars for long-standing persistent atrial fibrillation patients using late gadolinium-enhanced MRI
.
Medical Physics
vol.
45
,
(
4
)
1562
-
1576
.
Yang G, Zhuang X, Khan H, Haldar S, Nyktari E, Ye X, Slabaugh G, Wong T et al.
(
2017
)
.
A fully automatic deep learning method for atrial scarring segmentation from late gadolinium-enhanced MRI images
.
Proceedings - International Symposium on Biomedical Imaging
.
Conference:
International Symposium on Biomedical Imaging844
-
848
.
Yang G, Zhuang X, Khan H, Haldar S, Nyktari E, Li L, Ye X, Slabaugh G et al.
(
2017
)
.
Differentiation of pre-ablation and post-ablation late gadolinium-enhanced cardiac MRI scans of longstanding persistent atrial fibrillation patients
.
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
.
Conference:
SPIE Medical Imaging
vol.
10134
,
Yang G, Zhuang X, Khan H, Haldar S, Nyktari E, Li L, Ye X, Slabaugh G et al.
(
2017
)
.
Multi-atlas propagation based left atrium segmentation coupled with super-voxel based pulmonary veins delineation in late gadolinium-enhanced cardiac MRI
.
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
.
Conference:
SPIE Medical Imaging
vol.
10133
,
Yang G, Zhuang X, Khan H, Haldar S, Nyktari E, Ye X, Slabaugh G, Wong T et al.
(
2017
)
.
Segmenting atrial fibrosis from late gadolinium-enhanced cardiac MRI by deep-learned features with stacked sparse auto-encoders
.
Communications in Computer and Information Science
.
Conference:
SPIE Medical Imaging
vol.
723
,
195
-
206
.
Yang G, Ye X, Slabaugh G, Keegan J, Mohiaddin R, Firmin D
(
2016
)
.
Combined self-learning based single-image super-resolution and dual-tree complex wavelet transform denoising for medical images
.
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
.
vol.
9784
,
Yang G, Ye X, Slabaugh G, Keegan J, Mohiaddin R, Firmin D
(
2016
)
.
Super-resolved enhancement of a single image and its application in cardiac MRI
.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
.
vol.
9680
,
179
-
190
.
Boone DJ, Halligan S, Roth HR, Hampshire TE, Helbren E, Slabaugh GG, McQuillan J, McClelland JR et al.
(
2013
)
.
CT colonography: external clinical validation of an algorithm for computer-assisted prone and supine registration
.
Radiology
vol.
268
,
(
3
)
752
-
760
.
Ye X, Lin X, Dehmeshki J, Slabaugh G, Beddoe G
(
2009
)
.
Shape-Based Computer-Aided Detection of Lung Nodules in Thoracic CT Images
.
Biomedical Engineering, IEEE Transactions on
vol.
56
,
Article
7
,
1810
-
1820
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