Fergus V. Gleeson
University of Oxford
CancerInternal medicineRadiologyPET-CTSurgeryPathologyMagnetic resonance imagingUltrasoundOncologyArtificial intelligencePositron emission tomographyBiopsyRespiratory diseaseLung cancerPleural diseaseLungDiseaseMalignancyNuclear medicineComputed tomographyMedicine
358Publications
58H-index
6,965Citations
Publications 376
Newest
#1Minsuok KimH-Index: 12
#2Ozkan DoganayH-Index: 5
Last. Fergus V. GleesonH-Index: 58
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By using CT images with routine pulmonary function testing, computation models demonstrated lung ventilation comparable to images obtained by using hyperpolarized xenon 129 MRI and technetium 99m–d...
3 CitationsSource
#1Daiwei Han (UMCG: University Medical Center Groningen)H-Index: 3
Last. Rozemarijn Vliegenthart (UMCG: University Medical Center Groningen)H-Index: 24
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#1Paul C. LyonH-Index: 8
#2Michael D. GrayH-Index: 13
Last. Constantin C. CoussiosH-Index: 41
view all 15 authors...
Source
#1Minsuok KimH-Index: 12
#2Ozkan DoganayH-Index: 5
Last. Fergus V. GleesonH-Index: 58
view all 5 authors...
1 CitationsSource
#1Ozkan DoganayH-Index: 5
#1Ozkan DoganayH-Index: 2
Last. Fergus V. GleesonH-Index: 58
view all 5 authors...
Source
#1Hoileong Lee (University of Oxford)H-Index: 2
#1H.L. Lee (University of Oxford)H-Index: 5
Last. Vicente GrauH-Index: 31
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The human lung is a complex respiratory organ, consisting of five distinct anatomic compartments called lobes. Accurate and automatic segmentation of these pulmonary lobes from computed tomography (CT) images is of clinical importance for lung disease assessment and treatment planning. However, this task is challenging due to ambiguous lobar boundaries, anatomical variations and pathological deformations. In this paper, we propose a high-resolution and efficient 3D fully convolutional network to...
3 Citations
Source
#1Ozkan Doganay (University of Oxford)H-Index: 5
#2Tahreema N. Matin (Churchill Hospital)H-Index: 8
Last. Fergus V. Gleeson (University of Oxford)H-Index: 58
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Purpose To derive lobar ventilation in patients with chronic obstructive pulmonary disease (COPD) using a rapid time-series hyperpolarized xenon-129 (HPX) magnetic resonance imaging (MRI) technique and compare this to ventilation/perfusion single-photon emission computed tomography (V/Q-SPECT), correlating the results with high-resolution computed tomography (CT) and pulmonary function tests (PFTs).
9 CitationsSource
#1Pedro M. Gordaliza (Complutense University of Madrid)H-Index: 3
#2Juan José Vaquero (Complutense University of Madrid)H-Index: 21
Last. Arrate Muñoz-Barrutia (Complutense University of Madrid)H-Index: 20
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We propose a learning method well-suited to infer the presence of Tuberculosis (TB) manifestations on Computer Tomography (CT) scans mimicking the radiologist reports. Latent features are extracted from the CT volumes employing the V-Net encoder and those are the input to a Feed-Forward Neural Network (FNN) for multi-class classification. To overtake the issues (e.g., exploding/vanishing gradients, lack of sensibility) that normally appear when training deep 3D models with datasets of limited si...
2 Citations
#1Ioannis Christakis (Churchill Hospital)H-Index: 3
#1Ioannis Christakis (Churchill Hospital)H-Index: 12
Last. Radu Mihai (Churchill Hospital)H-Index: 5
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Introduction Redo parathyroidectomy for persistent/recurrent primary hyperparathyroidism is associated with a higher risk of complications and should be planned only with convincing localisation. W...
8 CitationsSource