Browse by UCL people
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Number of items: 79.
Article
Barratt, D;
Jannin, P;
Fichtinger, G;
Cotin, S;
(2014)
Information processing in computer-assisted interventions: 4th international conference, 2013.
[Editorial comment].
International Journal of Computer Assisted Radiology and Surgery
, 9
(5)
755 - 757.
10.1007/s11548-014-1117-6.
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Barratt, DC;
Ariff, BB;
Humphries, KN;
Thom, SAM;
Hughes, AD;
(2004)
Reconstruction and quantification of the carotid artery bifurcation from 3D ultrasound images.
IEEE T MED IMAGING
, 23
(5)
567 - 583.
10.1109/TMI.2004.825601.
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Barratt, DC;
Penney, GP;
Chan, CSK;
Slomczykowski, M;
Carter, TJ;
Edwards, PJ;
Hawkes, DJ;
(2006)
Self-calibrating 3D-ultrasound-based bone registration for minimally invasive orthopedic surgery.
IEEE T MED IMAGING
, 25
(3)
312 - 323.
10.1109/TMI.2005.862736.
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Baum, Zachary MC;
Hu, Yipeng;
Barratt, Dean C;
(2023)
Meta-Learning Initializations for Interactive Medical Image Registration.
IEEE Transactions on Medical Imaging
, 42
(3)
823 -833.
10.1109/tmi.2022.3218147.
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Baum, ZMC;
Hu, Y;
Barratt, DC;
(2021)
Real-time multimodal image registration with partial intraoperative point-set data.
Medical Image Analysis
, 74
, Article 102231. 10.1016/j.media.2021.102231.
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Boers, TGW;
Hu, Y;
Gibson, E;
Barratt, DC;
Bonmati, E;
Krdzalic, J;
van der Heijden, F;
... Huisman, H; + view all
(2020)
Interactive 3D U-net for the segmentation of the pancreas in computed tomography scans.
Physics in Medicine & Biology
, 65
(6)
, Article 065002. 10.1088/1361-6560/ab6f99.
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Bonmati, E;
Hu, Y;
Grimwood, A;
Johnson, GJ;
Goodchild, G;
Keane, MG;
Gurusamy, K;
... Barratt, DC; + view all
(2021)
Voice-assisted Image Labelling for Endoscopic Ultrasound Classification using Neural Networks.
IEEE Transactions on Medical Imaging
10.1109/TMI.2021.3139023.
(In press).
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Bonmati, E;
Hu, Y;
Gibson, E;
Uribarri, L;
Keane, G;
Gurusami, K;
Davidson, B;
... Barratt, DC; + view all
(2018)
Determination of optimal ultrasound planes for the initialisation of image registration during endoscopic ultrasound-guided procedures.
International Journal of Computer Assisted Radiology and Surgery
, 13
(6)
pp. 875-883.
10.1007/s11548-018-1762-2.
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Bonmati, E;
Hu, Y;
Sindhwani, N;
Dietz, HP;
D'hooge, J;
Barratt, D;
Deprest, J;
(2018)
Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalizing neural network.
Journal of Medical Imaging
, 5
(2)
, Article 021206. 10.1117/1.JMI.5.2.021206.
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Bonmati, E;
Hu, Y;
Villarini, B;
Rodell, R;
Martin, P;
Han, L;
Donaldson, I;
... Barratt, DC; + view all
(2018)
Technical Note: Error metrics for estimating the accuracy of needle/instrument placement during transperineal MR/US-guided prostate interventions.
Medical Physics
10.1002/mp.12814.
(In press).
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Chouhan, Manil D;
Taylor, Stuart Andrew;
Bhagwanani, Anisha;
Munday, Charlotte;
Pinnock, Mark A;
Parry, Tom;
Hu, Yipeng;
... Mallett, Sue; + view all
(2022)
Imaging features for the prediction of clinical endpoints in chronic liver disease: a scoping review protocol.
BMJ Open
, 12
(5)
10.1136/bmjopen-2021-053204.
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Dickinson, L;
Hu, Y;
Ahmed, HU;
Allen, C;
Kirkham, AP;
Emberton, M;
Barratt, D;
(2013)
Image-directed, tissue-preserving focal therapy of prostate cancer: a feasibility study of a novel deformable magnetic resonance-ultrasound (MR-US) registration system.
BJU Int
, 112
(5)
pp. 594-601.
10.1111/bju.12223.
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Donaldson, IA;
Alonzi, R;
Barratt, D;
Barret, E;
Berge, V;
Bott, S;
Bottomley, D;
... Ahmed, HU; + view all
(2014)
Focal Therapy: Patients, Interventions, and Outcomes-A Report from a Consensus Meeting.
Eur Urol
, 67
(4)
pp. 771-777.
10.1016/j.eururo.2014.09.018.
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El-Shater Bosaily, A;
Valerio, M;
Hu, Y;
Freeman, A;
Jameson, C;
Brown, L;
Kaplan, R;
... Ahmed, HU; + view all
(2016)
The concordance between the volume hotspot and the grade hotspot: a 3-D reconstructive model using the pathology outputs from the PROMIS trial.
Prostate Cancer and Prostatic Diseases
, 19
(3)
pp. 258-263.
10.1038/pcan.2016.7.
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Fu, Y;
Brown, NM;
Saeed, SU;
Casamitjana, A;
Baum, ZMC;
Delaunay, R;
Yang, Q;
... Hu, Y; + view all
(2020)
DeepReg: a deep learning toolkit for medical image registration.
The Journal of Open Source Software
, 5
(55)
, Article 2705. 10.21105/joss.02705.
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Gayo, Iani JMB;
Saeed, Shaheer U;
Bonmati, Ester;
Barratt, Dean C;
Clarkson, Matthew J;
Hu, Yipeng;
(2024)
The distinct roles of reinforcement learning between pre-procedure and intra-procedure planning for prostate biopsy.
International Journal of Computer Assisted Radiology and Surgery
10.1007/s11548-024-03084-4.
(In press).
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Georgiou, PS;
Jaros, J;
Payne, H;
Allen, C;
Shah, TT;
Ahmed, HU;
Gibson, E;
... Treeby, BE; + view all
(2017)
Beam distortion due to gold fiducial markers during salvage high-intensity focused ultrasound in the prostate.
Medical Physics
, 44
(2)
pp. 679-693.
10.1002/mp.12044.
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Ghavami, N;
Hu, Y;
Bonmati, E;
Rodell, R;
Gibson, E;
Moore, C;
Barratt, D;
(2018)
Integration of spatial information in convolutional neural networks for automatic segmentation of intraoperative transrectal ultrasound images.
Journal of Medical Imaging
, 6
(1)
, Article 011003. 10.1117/1.JMI.6.1.011003.
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Ghavami, N;
Hu, Y;
Gibson, E;
Bonmati, E;
Emberton, M;
Moore, CM;
Barratt, DC;
(2019)
Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration.
Medical Image Analysis
, 58
, Article 101558. 10.1016/j.media.2019.101558.
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Gibson, E;
Giganti, F;
Hu, Y;
Bonmati, E;
Bandula, S;
Gurusamy, K;
Davidson, B;
... Barratt, DC; + view all
(2018)
Automatic Multi-organ Segmentation on Abdominal CT with Dense V-networks.
IEEE Transactions on Medical Imaging
, 37
(8)
pp. 1822-1834.
10.1109/TMI.2018.2806309.
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Gibson, E;
Hu, Y;
Huisman, HJ;
Barratt, DC;
(2017)
Designing image segmentation studies: Statistical power, sample size and reference standard quality.
Med Image Anal
, 42
pp. 44-59.
10.1016/j.media.2017.07.004.
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Gibson, E;
Li, W;
Sudre, C;
Fidon, L;
Shakir, DI;
Wang, G;
Eaton-Rosen, Z;
... Vercauteren, T; + view all
(2018)
NiftyNet: a deep-learning platform for medical imaging.
Computer Methods and Programs in Biomedicine
, 158
pp. 113-122.
10.1016/j.cmpb.2018.01.025.
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Hamid, S;
Donaldson, IA;
Hu, Y;
Rodell, R;
Villarini, B;
Bonmati, E;
Tranter, P;
... Ahmed, HU; + view all
(2019)
The SmartTarget Biopsy Trial: A Prospective, Within-person Randomised, Blinded Trial Comparing the Accuracy of Visual-registration and Magnetic Resonance Imaging/Ultrasound Image-fusion Targeted Biopsies for Prostate Cancer Risk Stratification.
European Urology
, 75
(5)
pp. 733-740.
10.1016/j.eururo.2018.08.007.
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Han, L;
Dong, H;
McClelland, JR;
Han, L;
Hawkes, DJ;
Barratt, DC;
(2017)
A hybrid patient-specific biomechanical model based image registration method for the motion estimation of lungs.
Medical Image Analysis
, 39
pp. 87-100.
10.1016/j.media.2017.04.003.
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Hu, Y;
Gibson, E;
Ahmed, HU;
Moore, CM;
Emberton, M;
Barratt, DC;
(2015)
Population-based prediction of subject-specific prostate deformation for MR-to-ultrasound image registration.
Medical Image Analysis
, 26
(1)
pp. 332-344.
10.1016/j.media.2015.10.006.
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Hu, Y;
Kasivisvanathan, V;
Simmons, L;
Clarkson, M;
Thompson, S;
Shah, T;
Ahmed, H;
... Barratt, D; + view all
(2017)
Development and Phantom Validation of a 3D-Ultrasound-Guided System for Targeting MRI-visible Lesions during Transrectal Prostate Biopsy.
IEEE Transactions on Biomedical Engineering
, 64
(4)
pp. 946-958.
10.1109/TBME.2016.2582734.
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Hu, Y;
Modat, M;
Gibson, E;
Li, W;
Ghavami, N;
Bonmati, E;
Wang, G;
... Vercauteren, T; + view all
(2018)
Weakly-supervised convolutional neural networks for multimodal image registration.
Medical Image Analysis
, 49
pp. 1-13.
10.1016/j.media.2018.07.002.
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Li, Yiwen;
Fu, Yunguan;
Gayo, Iani JMB;
Yang, Qianye;
Min, Zhe;
Saeed, Shaheer U;
Yan, Wen;
... Hu, Yipeng; + view all
(2023)
Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration.
Medical Image Analysis
, Article 102935. 10.1016/j.media.2023.102935.
(In press).
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Min, Z;
Bianco, FJ;
Yang, Q;
Yan, W;
Shen, Z;
Cohen, D;
Rodell, R;
... Hu, Y; + view all
(2024)
Segmentation versus detection: Development and evaluation of deep learning models for prostate imaging reporting and data system lesions localisation on Bi-parametric prostate magnetic resonance imaging.
CAAI Transactions on Intelligence Technology
10.1049/cit2.12318.
(In press).
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Olivier, J;
Stavrinides, V;
Kay, J;
Freeman, A;
Pye, H;
Ahmed, Z;
Carmona Echeverria, L;
... Whitaker, HC; + view all
(2018)
Immunohistochemical biomarker validation in highly selective needle biopsy microarrays derived from mpMRI‐characterized prostates.
The Prostate
, 78
(16)
pp. 1229-1237.
10.1002/pros.23698.
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Orczyk, C;
Barratt, D;
Brew-Graves, C;
Peng Hu, Y;
Freeman, A;
McCartan, N;
Potyka, I;
... Ahmed, HU; + view all
(2021)
Prostate Radiofrequency Focal Ablation (ProRAFT) Trial: A Prospective Development Study Evaluating a Bipolar Radiofrequency Device to Treat Prostate Cancer.
Journal of Urology
, 205
(4)
pp. 1090-1099.
10.1097/JU.0000000000001567.
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Ramalhinho, J;
Robu, MR;
Thompson, S;
Gurusamy, K;
Davidson, B;
Hawkes, D;
Barratt, D;
(2018)
A pre-operative planning framework for global registration of laparoscopic ultrasound to CT images.
International Journal of Computer Assisted Radiology and Surgery
, 13
(8)
pp. 1177-1186.
10.1007/s11548-018-1799-2.
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Robertson, NL;
Hu, Y;
Ahmed, HU;
Freeman, A;
Barratt, D;
Emberton, M;
(2014)
Prostate cancer risk inflation as a consequence of image-targeted biopsy of the prostate: a computer simulation study.
Eur Urol
, 65
(3)
628 - 634.
10.1016/j.eururo.2012.12.057.
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Saeed, Shaheer U;
Ramalhinho, João;
Pinnock, Mark;
Shen, Ziyi;
Fu, Yunguan;
Montaña-Brown, Nina;
Bonmati, Ester;
... Hu, Yipeng; + view all
(2024)
Active learning using adaptable task-based prioritisation.
Medical Image Analysis
, 95
, Article 103181. 10.1016/j.media.2024.103181.
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Schneider, C;
Thompson, S;
Totz, J;
Song, Y;
Allam, M;
Sodergren, MH;
Desjardins, AE;
... Davidson, BR; + view all
(2020)
Comparison of manual and semi-automatic registration in augmented reality image-guided liver surgery: a clinical feasibility study.
Surgical Endoscopy
10.1007/s00464-020-07807-x.
(In press).
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Simmons, LAM;
Kanthabalan, A;
Arya, M;
Briggs, T;
Barratt, D;
Charman, SC;
Freeman, A;
... Ahmed, HU; + view all
(2017)
The PICTURE study: diagnostic accuracy of multiparametric MRI in men requiring a repeat prostate biopsy.
British Journal of Cancer
, 116
pp. 1159-1165.
10.1038/bjc.2017.57.
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Simmons, LAM;
Kanthabalan, A;
Arya, M;
Briggs, T;
Barratt, D;
Charman, SC;
Freeman, A;
... Ahmed, HU; + view all
(2018)
Accuracy of Transperineal Targeted Prostate Biopsies, Visual Estimation and Image Fusion in Men Needing Repeat Biopsy in the PICTURE Trial.
The Journal of Urology
, 200
(6)
pp. 1227-1234.
10.1016/j.juro.2018.07.001.
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Stavrinides, V;
Papageorgiou, G;
Danks, D;
Giganti, F;
Pashayan, N;
Trock, B;
Freeman, A;
... Moore, CM; + view all
(2021)
Mapping PSA density to outcome of MRI-based active surveillance for prostate cancer through joint longitudinal-survival models.
Prostate Cancer and Prostatic Diseases
10.1038/s41391-021-00373-w.
(In press).
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Stavrinides, V;
Syer, T;
Hu, Y;
Giganti, F;
Freeman, A;
Karapanagiotis, S;
Bott, SRJ;
... Emberton, M; + view all
(2020)
False Positive Multiparametric Magnetic Resonance Imaging Phenotypes in the Biopsy-naïve Prostate: Are They Distinct from Significant Cancer-associated Lesions? Lessons from PROMIS.
European Urology
10.1016/j.eururo.2020.09.043.
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Vesal, Sulaiman;
Gayo, Iani;
Bhattacharya, Indrani;
Natarajan, Shyam;
Marks, Leonard S;
Barratt, Dean C;
Fan, Richard E;
... Rusu, Mirabela; + view all
(2022)
Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study.
Medical Image Analysis
, 82
, Article 102620. 10.1016/j.media.2022.102620.
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Yan, Wen;
Chiu, Bernard;
Shen, Ziyi;
Yang, Qianye;
Syer, Tom;
Min, Zhe;
Punwani, Shonit;
... Hu, Yipeng; + view all
(2024)
Combiner and HyperCombiner networks: Rules to combine multimodality MR images for prostate cancer localisation.
Medical Image Analysis
, 91
, Article 103030. 10.1016/j.media.2023.103030.
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Proceedings paper
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Baum, ZMC;
Bonmati, E;
Cristoni, L;
Walden, A;
Prados, F;
Kanber, B;
Barratt, DC;
... Hu, Y; + view all
(2021)
Image quality assessment for closed-loop computer-assisted lung ultrasound.
In:
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling (SPIE).
(pp. pp. 1-7).
The International Society for Optics and Photonics (SPIE)
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Baum, ZMC;
Hu, Y;
Barratt, DC;
(2020)
Multimodality Biomedical Image Registration Using Free Point Transformer Networks.
In:
Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis.
(pp. pp. 116-125).
Springer Nature: Cham, Switzerland.
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Bonmati, E;
Hu, Y;
Sindhwani, N;
Dietz, HP;
D'hooge, J;
Barratt, DC;
Deprest, J;
(2018)
Technical note: automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network.
In: Fei, B and Webster, RJ, (eds.)
(Proceedings) Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions and Modeling.
(pp. 105760K-105760K).
SPIE
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Bonmati Coll, E;
Hu, Y;
Gurusamy, K;
Davidson, B;
Pereira, SP;
Clarkson, MJ;
Barratt, DC;
(2017)
Assessment of Electromagnetic Tracking Accuracy for Endoscopic Ultrasound.
In: Peters, T and Yang, G and Navab, N and Mori, K and Luo, X and Reichl, T and McLeod, J, (eds.)
Computer-Assisted and Robotic Endoscopy.
(pp. pp. 36-47).
Springer International Publishing AG
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Ghavami, N;
Hu, Y;
Bonmati, E;
Rodell, R;
Gibson, E;
Moore, CM;
Barratt, DC;
(2018)
Automatic slice segmentation of intraoperative transrectal ultrasound images using convolutional neural networks.
In: Fei, B and Webster, RJ, (eds.)
Proceedings Volume 10576, Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling.
(pp. p. 1057603).
SPIE: Houston, Texas, United States.
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Gibson, E;
Giganti, F;
Hu, Y;
Bonmati, E;
Bandula, S;
Gurusamy, K;
Davidson, BR;
... Barratt, DC; + view all
(2017)
Towards image-guided pancreas and biliary endoscopy: Automatic multi-organ segmentation on abdominal CT with dense dilated networks.
In: Descoteaux, M and Maier-Hein, L and Franz, A and Jannin, P and Collins, D and Duchesne, S, (eds.)
(Proceedings) Medical Image Computing and Computer Assisted Intervention − MICCAI 2017.
(pp. pp. 728-736).
Springer: Switzerland, Cham.
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Gibson, E;
Hu, Y;
Ghavami, N;
Ahmed, HU;
Moore, C;
Emberton, M;
Huisman, HJ;
(2018)
Inter-site Variability in Prostate Segmentation Accuracy Using Deep Learning.
In: Frangi, A and Schnabel, J and Davatzikos, C and Alberola-López, C and Fichtinger, G, (eds.)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. MICCAI 2018. Lecture Notes in Computer Science.
(pp. pp. 506-514).
Springer: Cham, Switzerland.
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Gibson, E;
Robu, MR;
Thompson, S;
Edwards, P;
Schneider, C;
Gurusamy, K;
Davidson, B;
... Clarkson, MJ; + view all
(2017)
Deep residual networks for automatic segmentation of laparoscopic videos of the liver.
In: Webster, RJ and Fei, B, (eds.)
Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling.
(pp. 101351M1-101351M6).
Society of Photo-Optical Instrumentation Engineers (SPIE): Bellingham, Washington, USA.
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Grimwood, A;
Ramalhinho, J;
Baum, ZMC;
Montaña-Brown, N;
Johnson, GJ;
Hu, Y;
Clarkson, MJ;
... Bonmati, E; + view all
(2021)
Endoscopic Ultrasound Image Synthesis Using a Cycle-Consistent Adversarial Network.
In:
Simplifying Medical Ultrasound. ASMUS 2021.
(pp. pp. 169-178).
Springer: Cham, Switzerland.
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Grimwood, A;
McNair, H;
Hu, Y;
Bonmati, E;
Barratt, DC;
Harris, EJ;
(2020)
Assisted Probe Positioning for Ultrasound Guided Radiotherapy Using Image Sequence Classification.
In: Martel, AL and Abolmaesumi, P and Stoyanov, D and Mateus, D and Zuluaga, MA and Zhou, SK and Racoceanu, D and Joskowicz, L, (eds.)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020.
(pp. pp. 544-552).
Springer: Cham, Switzerland.
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Hu, Y;
Gibson, E;
Barratt, DC;
Emberton, M;
Noble, JA;
Vercauteren, T;
(2019)
Conditional Segmentation in Lieu of Image Registration.
In:
Proceedings of the nternational Conference on Medical Image Computing and Computer-Assisted Intervention MICCAI 2019.
(pp. pp. 401-409).
Springer: Shenzhen, China.
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Hu, Y;
Gibson, E;
Ghavami, N;
Bonmati, E;
Moore, CM;
Emberton, M;
Vercauteren, T;
... Barratt, DC; + view all
(2018)
Adversarial deformation regularization for training image registration neural networks.
In: Frangi, AF and Schnabel, JA and Davatzikos, C and Alberola-López, C and Fichtinger, G, (eds.)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I.
(pp. pp. 774-782).
Springer: Cham, Switzerland.
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Hu, Y;
Gibson, E;
Lee, LL;
Xie, W;
Barratt, DC;
Vercauteren, T;
Noble, JA;
(2017)
Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks.
In: Cardoso, MJ and Arbel, T and Gao, F and Kainz, B and Van Walsum, T and Shi, K and Bhatia, KK and Peter, R and Vercauteren, T and Reyes, M and Dalca, A and Wiest, R and Niessen, W and Emmer, BJ, (eds.)
Fifth International Workshop, CMMI 2017, Second International Workshop, RAMBO 2017, and First International Workshop, SWITCH 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings.
(pp. pp. 105-115).
Springer: Cham, Switzerland.
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Hu, Y;
Gibson, E;
Vercauteren, T;
Ahmed, H;
Emberton, M;
Moore, C;
Noble, JA;
(2017)
Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks.
In: Descoteaux, M and Maier-Hein, L and Franz, A and Jannin, P and Collins, DL and Duchesne, S, (eds.)
Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II.
(pp. pp. 368-376).
Springer International Publishing: Cham, Switzerland.
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Hu, Y;
Modat, M;
Gibson, E;
Ghavami, N;
Bonmati, E;
Moore, CM;
Emberton, M;
... Vercauteren, T; + view all
(2018)
Label-driven weakly-supervised learning for multimodal deformable image registration.
In:
2018 IEEE 15th International Symposium on Biomedical Imaging.
(pp. pp. 1070-1074).
IEEE
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Huang, S;
Xu, T;
Shen, Z;
Saeed, SU;
Yan, W;
Barratt, D;
Hu, Y;
(2024)
One Registration is Worth Two Segmentations.
In:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2024.
(pp. pp. 665-675).
Springer Nature: Cham, Switzerland.
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Huang, S;
Xu, T;
Yan, W;
Barratt, D;
Hu, Y;
(2026)
Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model.
In: Gee, James C and Alexander, Daniel C and Hong, Jaesung and Iglesias, Juan Eugenio and Sudre, Carole H and Venkataraman, Archana and Golland, Polina and Kim, Jong Hyo and Park, Jinah, (eds.)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2025. 28th International Conference, Daejeon, South Korea, September 23–27, 2025, Proceedings, Part IV.
(pp. pp. 467-477).
Springer: Cham, Switzerland.
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Li, Qi;
Shen, Ziyi;
Li, Qian;
Barratt, Dean C;
Dowrick, Thomas;
Clarkson, Matthew J;
Vercauteren, Tom;
(2023)
Privileged anatomical and protocol discrimination in trackerless 3D ultrasound reconstruction.
In:
International Workshop on Advances in Simplifying Medical Ultrasound ASMUS 2023: Simplifying Medical Ultrasound.
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Springer: Cham, Switzerland.
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Li, Qi;
Shen, Ziyi;
Li, Qian;
Barratt, Dean C;
Dowrick, Thomas;
Clarkson, Matthew J;
Vercauteren, Tom;
(2023)
Trackerless Freehand Ultrasound with Sequence Modelling and Auxiliary Transformation Over Past and Future Frames.
In:
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI).
IEEE: Cartagena, Colombia.
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Min, Z;
Bianco, FJ;
Yang, Q;
Rodell, R;
Yan, W;
Barratt, DC;
Hu, Y;
(2021)
Controlling False Positive/Negative Rates for Deep-Learning-Based Prostate Cancer Detection on Multiparametric MR images.
In:
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Springer
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Min, Zhe;
Baum, Zachary MC;
Saeed, Shaheer U;
Emberton, Mark;
Barratt, Dean C;
Taylor, Zeike A;
Hu, Yipeng;
(2023)
Non-rigid Medical Image Registration using Physics-informed Neural Networks.
In: Frangi, Alejandro and De Bruijne, Marleen and Wassermann, Demian and Navab, Nassir, (eds.)
Information Processing in Medical Imaging: IPMI 2023.
(pp. pp. 601-613).
Springer: Cham, Switzerland.
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Pinnock, Mark A;
Hu, Yipeng;
Bainbridge, Alan;
Atkinson, David;
Mookerjee, Rajeshwar P;
Taylor, Stuart A;
Barratt, Dean C;
(2021)
Deep learning-based detection of liver disease using MRI.
In: Block, Walter F and Jones, Derek K and Boiteaux,, Sonja K, (eds.)
ISMRM Annual Meeting Proceedings 2021.
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ISMRM: Concord, CA, USA.
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Pinnock, M;
Hu, Y;
Bandula, S;
Barratt, D;
(2021)
End-to-end forecasting of needle trajectory in percutaneous ablation.
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International Society for optics and Photonics
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Pinnock, M;
Hu, Y;
Bandula, S;
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Combined 3D super-resolution, de-noising and partial volume correction for percutaneous ablation.
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International society for optics and photonics
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Pocius, M;
Yan, W;
Barratt, DC;
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Clarkson, MJ;
Hu, Y;
Saeed, SU;
(2024)
Weakly Supervised Localisation of Prostate Cancer Using Reinforcement Learning for Bi-Parametric MR Images.
In:
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IEEE: Athens, Greece.
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Thompson, S;
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Schneider, C;
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Breathing motion compensated registration of laparoscopic liver ultrasound to CT.
In: Webster, RJ and Fei, B, (eds.)
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SPIE-INT SOC OPTICAL ENGINEERING: Orlando, Florida, United States.
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Tregidgo, H;
Allam, M;
Travlou, N;
Gurusamy, K;
Davidson, B;
Hawkes, D;
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Registration of Untracked 2D Laparoscopic Ultrasound Liver Images to CT Using Content-Based Retrieval and Kinematic Priors.
In: Wang, Q and Gomez, A and Hutter, J and McLeod, K and Zimmer, V and Zettinig, O and Licandro, R and Robinson, E and Christiaens, D and Abaci Turk, E and Melbourne, A, (eds.)
Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis.
(pp. pp. 11-19).
Springer: Shenzhen, China.
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Saeed, SU;
Fu, Y;
Stavrinides, V;
Baum, ZMC;
Yang, Q;
Rusu, M;
Fan, RE;
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Adaptable image quality assessment using meta-reinforcement learning of task amenability.
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Springer: Cham, Switzerland.
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Saeed, SU;
Fu, Y;
Baum, ZMC;
Yang, Q;
Rusu, M;
Fan, RE;
Sonn, GA;
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(2021)
Learning image quality assessment by reinforcing task amenable data selection.
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Springer: Cham, Switzerland.
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Saeed, SU;
Taylor, ZA;
Pinnock, MA;
Emberton, M;
Barratt, DC;
Hu, Y;
(2020)
Prostate Motion Modelling Using Biomechanically-Trained Deep Neural Networks on Unstructured Nodes.
In: Martel, AL and Abolmaesumi, P and Stoyanov, D and Mateus, D and Zuluaga, MA and Zhou, SK and Racoceanu, D and Joskowicz, L, (eds.)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part IV.
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Springer: Cham, Switzerland.
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Yan, W;
Yang, Q;
Huang, S;
Wang, Y;
Punwani, S;
Emberton, M;
Stavrinides, V;
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(2025)
Tell2Reg: Establishing Spatial Correspondence between Images by the Same Language Prompts.
In:
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(pp. pp. 1-5).
IEEE
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Yan, Wen;
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Syer, Tom;
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Barratt, Dean;
... Hu, Yipeng; + view all
(2022)
The Impact of Using Voxel-Level Segmentation Metrics on Evaluating Multifocal Prostate Cancer Localisation.
In: Wu, S and Shabestari, B and Xing, L, (eds.)
Applications of Medical Artificial Intelligence, AMAI 2022.
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Springer Nature Switzerland: Cham, Switzerland.
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Yang, Q;
Fu, Y;
Giganti, F;
Ghavami, N;
Chen, Q;
Noble, JA;
Vercauteren, T;
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Longitudinal Image Registration with Temporal-Order and Subject-Specificity Discrimination.
In:
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Springer Nature: Cham, Switzerland.
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Yang, Q;
Vercauteren, T;
Fu, Y;
Giganti, F;
Ghavami, N;
Stavrinides, V;
Moore, CM;
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(2021)
Morphological Change Forecasting for Prostate Glands using Feature-based Registration and Kernel Density Extrapolation.
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IEEE: Virtual conference.
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Yi, W;
Stavrinides, V;
Baum, ZMC;
Yang, Q;
Barratt, DC;
Clarkson, MJ;
Hu, Y;
(2023)
Boundary-RL: Reinforcement Learning for Weakly-Supervised Prostate Segmentation in TRUS Images.
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Springer Nature: Cham, Switzerland.
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Yi, Weixi;
Wang, Yipei;
Thorley, Natasha;
Ng, Alexander;
Punwani, Shonit;
Kasivisvanathan, Veeru;
Barratt, Dean C;
... Hu, Yipeng; + view all
(2025)
T2-Only Prostate Cancer Prediction by Meta-Learning from BI-Parametric MR Imaging.
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IEEE: Houston, TX, USA.
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Thesis
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Barratt, DC;
(2002)
Quantification of Carotid Artery Disease using Three-dimensional Ultrasound Imaging.
Doctoral thesis , UNSPECIFIED.
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Hu, Y;
(2013)
Registration of magnetic resonance and ultrasound images for guiding prostate cancer interventions.
Doctoral thesis , UCL (University College London).
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