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Matthew John Clarkson
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2020 – today
- 2024
[j56]Iani J. M. B. Gayo
, Shaheer U. Saeed, Ester Bonmati, Dean C. Barratt, Matthew J. Clarkson, Yipeng Hu:
The distinct roles of reinforcement learning between pre-procedure and intra-procedure planning for prostate biopsy. Int. J. Comput. Assist. Radiol. Surg. 19(6): 1003-1012 (2024)- [j55]Zhehua Mao, Adrito Das, Mobarakol Islam, Danyal Z. Khan, Simon C. Williams, John G. Hanrahan, Anouk Borg, Neil L. Dorward, Matthew J. Clarkson, Danail Stoyanov, Hani J. Marcus, Sophia Bano:
PitSurgRT: real-time localization of critical anatomical structures in endoscopic pituitary surgery. Int. J. Comput. Assist. Radiol. Surg. 19(6): 1053-1060 (2024) - [j54]Yuyang Sheng, Sophia Bano, Matthew J. Clarkson, Mobarakol Islam:
Surgical-DeSAM: decoupling SAM for instrument segmentation in robotic surgery. Int. J. Comput. Assist. Radiol. Surg. 19(7): 1267-1271 (2024) - [j53]Soojeong Yoo, João Ramalhinho, Thomas Dowrick, Murali Somasundaram, Kurinchi Gurusamy, Brian R. Davidson, Matthew J. Clarkson, Ann Blandford:
Can engineers represent surgeons in usability studies? Comparison of results from evaluating augmented reality guidance for laparoscopic surgery. Comput. Graph. 119: 103881 (2024) - [j52]Simone Foti, Alexander J. Rickart, Bongjin Koo, Eimear O' Sullivan, Lara S. van de Lande, Athanasios Papaioannou, Roman Khonsari, Danail Stoyanov, N. U. Owase Jeelani, Silvia Schievano, David J. Dunaway, Matthew J. Clarkson:
Latent disentanglement in mesh variational autoencoders improves the diagnosis of craniofacial syndromes and aids surgical planning. Comput. Methods Programs Biomed. 256: 108395 (2024) - [j51]Shaheer U. Saeed, João Ramalhinho, Mark A. Pinnock, Ziyi Shen, Yunguan Fu, Nina Montaña Brown, Ester Bonmati, Dean C. Barratt, Stephen P. Pereira, Brian R. Davidson, Matthew J. Clarkson, Yipeng Hu:
Active learning using adaptable task-based prioritisation. Medical Image Anal. 95: 103181 (2024) - [j50]Qi Li, Ziyi Shen, Qian Li, Dean C. Barratt, Thomas Dowrick, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu:
Long-Term Dependency for 3D Reconstruction of Freehand Ultrasound Without External Tracker. IEEE Trans. Biomed. Eng. 71(3): 1033-1042 (2024) - [c55]Martynas Pocius, Wen Yan, Dean C. Barratt, Mark Emberton, Matthew J. Clarkson, Yipeng Hu, Shaheer U. Saeed:
Weakly Supervised Localisation of Prostate Cancer Using Reinforcement Learning for Bi-Parametric MR Images. ISBI 2024: 1-5 - [c54]Manuel Birlo, Razvan Caramalau, Philip J. Edwards, Brian Dromey, Matthew J. Clarkson, Danail Stoyanov:
HUP-3D: A 3D Multi-view Synthetic Dataset for Assisted-Egocentric Hand-Ultrasound-Probe Pose Estimation. MICCAI (1) 2024: 430-436 - [c53]Runlong He, Mengya Xu, Adrito Das, Danyal Z. Khan, Sophia Bano, Hani J. Marcus, Danail Stoyanov, Matthew J. Clarkson, Mobarakol Islam:
PitVQA: Image-Grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery. MICCAI (6) 2024: 488-498 - [c52]Qi Li, Ziyi Shen, Qianye Yang, Dean C. Barratt, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu:
Nonrigid Reconstruction of Freehand Ultrasound Without a Tracker. MICCAI (4) 2024: 689-699 - [i38]Sharib Ali, Yamid Espinel, Yueming Jin, Peng Liu, Bianca Güttner, Xukun Zhang, Lihua Zhang, Thomas Dowrick, Matthew J. Clarkson, Shiting Xiao, Yifan Wu, Yijun Yang, Lei Zhu, Dai Sun, Lan Li, Micha Pfeiffer, Shahid Farid, Lena Maier-Hein, Emmanuel Buc, Adrien Bartoli:
An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion. CoRR abs/2401.15753 (2024) - [i37]Yiwen Li, Yunguan Fu, Iani J. M. B. Gayo, Qianye Yang, Zhe Min, Shaheer U. Saeed, Wen Yan, Yipei Wang, J. Alison Noble, Mark Emberton, Matthew J. Clarkson, Dean C. Barratt, Victor A. Prisacariu, Yipeng Hu:
Semi-weakly-supervised neural network training for medical image registration. CoRR abs/2402.10728 (2024) - [i36]Martynas Pocius, Wen Yan, Dean C. Barratt, Mark Emberton, Matthew J. Clarkson, Yipeng Hu, Shaheer U. Saeed:
Weakly supervised localisation of prostate cancer using reinforcement learning for bi-parametric MR images. CoRR abs/2402.13778 (2024) - [i35]Yuyang Sheng, Sophia Bano, Matthew J. Clarkson, Mobarakol Islam:
Surgical-DeSAM: Decoupling SAM for Instrument Segmentation in Robotic Surgery. CoRR abs/2404.14040 (2024) - [i34]Long Chen, Mobarakol Islam, Matthew J. Clarkson, Thomas Dowrick:
Illumination Histogram Consistency Metric for Quantitative Assessment of Video Sequences. CoRR abs/2405.09716 (2024) - [i33]Runlong He, Mengya Xu, Adrito Das, Danyal Z. Khan, Sophia Bano, Hani J. Marcus, Danail Stoyanov, Matthew J. Clarkson, Mobarakol Islam:
PitVQA: Image-grounded Text Embedding LLM for Visual Question Answering in Pituitary Surgery. CoRR abs/2405.13949 (2024) - [i32]Shaheer U. Saeed, Shiqi Huang, João Ramalhinho, Iani J. M. B. Gayo, Nina Montaña Brown, Ester Bonmati, Stephen P. Pereira, Brian R. Davidson, Dean C. Barratt, Matthew J. Clarkson, Yipeng Hu:
Competing for pixels: a self-play algorithm for weakly-supervised segmentation. CoRR abs/2405.16628 (2024) - [i31]Qi Li, Ziyi Shen, Qianye Yang, Dean C. Barratt, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu:
Nonrigid Reconstruction of Freehand Ultrasound without a Tracker. CoRR abs/2407.05767 (2024) - [i30]Manuel Birlo, Razvan Caramalau, Philip J. Edwards, Brian Dromey, Matthew J. Clarkson, Danail Stoyanov:
HUP-3D: A 3D multi-view synthetic dataset for assisted-egocentric hand-ultrasound pose estimation. CoRR abs/2407.09215 (2024) - [i29]Mona Sheikh Zeinoddin, Chiara Lena, Jiongqi Qu, Luca Carlini, Mattia Magro, Seunghoi Kim, Elena De Momi, Sophia Bano, Matthew Grech-Sollars, Evangelos B. Mazomenos, Daniel C. Alexander, Danail Stoyanov, Matthew J. Clarkson, Mobarakol Islam:
DARES: Depth Anything in Robotic Endoscopic Surgery with Self-supervised Vector-LoRA of the Foundation Model. CoRR abs/2408.17433 (2024) - [i28]Adrito Das, Bilal Sidiqi, Laurent Mennillo, Zhehua Mao, Mikael Brudfors, Miguel Xochicale, Danyal Z. Khan, Nicola Newall, John G. Hanrahan, Matthew J. Clarkson, Danail Stoyanov, Hani J. Marcus, Sophia Bano:
Automated Surgical Skill Assessment in Endoscopic Pituitary Surgery using Real-time Instrument Tracking on a High-fidelity Bench-top Phantom. CoRR abs/2409.17025 (2024) - 2023
- [j49]Simone Foti, Bongjin Koo, Danail Stoyanov, Matthew J. Clarkson:
3D Generative Model Latent Disentanglement via Local Eigenprojection. Comput. Graph. Forum 42(6) (2023) - [j48]Manuel Birlo, Philip Eddie Edwards, Soojeong Yoo, Brian Dromey, Francisco Vasconcelos, Matthew J. Clarkson, Danail Stoyanov:
CAL-Tutor: A HoloLens 2 Application for Training in Obstetric Sonography and User Motion Data Recording. J. Imaging 9(1): 6 (2023) - [j47]Yiwen Li, Yunguan Fu, Iani J. M. B. Gayo, Qianye Yang, Zhe Min, Shaheer U. Saeed, Wen Yan, Yipei Wang, J. Alison Noble, Mark Emberton, Matthew J. Clarkson, Henkjan Huisman, Dean C. Barratt, Victor Adrian Prisacariu, Yipeng Hu:
Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration. Medical Image Anal. 90: 102935 (2023) - [j46]João Ramalhinho, Soojeong Yoo, Thomas Dowrick, Bongjin Koo, Murali Somasundaram, Kurinchi Gurusamy, David J. Hawkes, Brian R. Davidson, Ann Blandford, Matthew J. Clarkson:
The value of Augmented Reality in surgery - A usability study on laparoscopic liver surgery. Medical Image Anal. 90: 102943 (2023) - [c51]Qi Li, Ziyi Shen, Qian Li, Dean C. Barratt, Thomas Dowrick, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu:
Trackerless Freehand Ultrasound with Sequence Modelling and Auxiliary Transformation Over Past and Future Frames. ISBI 2023: 1-5 - [c50]Thomas Dowrick, Long Chen, João Ramalhinho, Juana González-Bueno Puyal, Matthew J. Clarkson:
Procedurally Generated Colonoscopy and Laparoscopy Data for Improved Model Training Performance. DEMI@MICCAI 2023: 67-77 - [c49]Yunguan Fu, Yiwen Li, Shaheer U. Saeed, Matthew J. Clarkson, Yipeng Hu:
Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass Segmentation. DGM4MICCAI 2023: 86-95 - [c48]Qi Li, Ziyi Shen, Qian Li, Dean C. Barratt, Thomas Dowrick, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu:
Privileged Anatomical and Protocol Discrimination in Trackerless 3D Ultrasound Reconstruction. ASMUS@MICCAI 2023: 142-151 - [c47]Shaheer U. Saeed, Tom Syer, Wen Yan, Qianye Yang, Mark Emberton, Shonit Punwani, Matthew John Clarkson, Dean C. Barratt, Yipeng Hu:
Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion. MIDL 2023: 814-828 - [c46]Athena Reissis, Soojeong Yoo, Matthew J. Clarkson, Stephen A. Thompson:
The effect of luminance on depth perception in augmented reality guided laparoscopic surgery. Medical Imaging: Image-Guided Procedures 2023 - [c45]Weixi Yi, Vasilis Stavrinides, Zachary M. C. Baum, Qianye Yang, Dean C. Barratt, Matthew J. Clarkson, Yipeng Hu, Shaheer U. Saeed:
Boundary-RL: Reinforcement Learning for Weakly-Supervised Prostate Segmentation in TRUS Images. MLMI@MICCAI (1) 2023: 277-288 - [c44]Nina Montaña Brown, Shaheer U. Saeed, Ahmed Abdulaal, Thomas Dowrick, Yakup Kilic, Sophie Wilkinson, Jack Gao, Meghavi Mashar, Chloe He, Alkisti Stavropoulou, Emma Thomson, Zachary M. C. Baum, Simone Foti, Brian R. Davidson, Yipeng Hu, Matthew J. Clarkson:
SARAMIS: Simulation Assets for Robotic Assisted and Minimally Invasive Surgery. NeurIPS 2023 - [c43]Christoph Davis, Soojeong Yoo, Matthew J. Clarkson, Stephen A. Thompson:
Enhanced Surgeons: Understanding the Design of Augmented Reality Instructions for Keyhole Surgery. VR Workshops 2023: 123-127 - [i27]Simone Foti, Bongjin Koo, Danail Stoyanov, Matthew J. Clarkson:
3D Generative Model Latent Disentanglement via Local Eigenprojection. CoRR abs/2302.12798 (2023) - [i26]Shaheer U. Saeed, Tom Syer, Wen Yan, Qianye Yang, Mark Emberton, Shonit Punwani, Matthew J. Clarkson, Dean C. Barratt, Yipeng Hu:
Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion. CoRR abs/2303.02094 (2023) - [i25]Yunguan Fu, Yiwen Li, Shaheer U. Saeed, Matthew J. Clarkson, Yipeng Hu:
Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass Segmentation. CoRR abs/2303.06040 (2023) - [i24]Qi Li, Ziyi Shen, Qian Li, Dean C. Barratt, Thomas Dowrick, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu:
Privileged Anatomical and Protocol Discrimination in Trackerless 3D Ultrasound Reconstruction. CoRR abs/2308.10293 (2023) - [i23]Weixi Yi, Vasilis Stavrinides, Zachary M. C. Baum, Qianye Yang, Dean C. Barratt, Matthew J. Clarkson, Yipeng Hu, Shaheer U. Saeed:
Boundary-RL: Reinforcement Learning for Weakly-Supervised Prostate Segmentation in TRUS Images. CoRR abs/2308.11376 (2023) - [i22]Yunguan Fu, Yiwen Li, Shaheer U. Saeed, Matthew J. Clarkson, Yipeng Hu:
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models. CoRR abs/2308.16355 (2023) - [i21]Simone Foti, Alexander J. Rickart, Bongjin Koo, Eimear O' Sullivan, Lara S. van de Lande, Athanasios Papaioannou, Roman Khonsari, Danail Stoyanov, N. U. Owase Jeelani, Silvia Schievano, David J. Dunaway, Matthew J. Clarkson:
Latent Disentanglement in Mesh Variational Autoencoders Improves the Diagnosis of Craniofacial Syndromes and Aids Surgical Planning. CoRR abs/2309.10825 (2023) - [i20]Qi Li, Ziyi Shen, Qian Li, Dean C. Barratt, Thomas Dowrick, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu:
Long-term Dependency for 3D Reconstruction of Freehand Ultrasound Without External Tracker. CoRR abs/2310.10248 (2023) - 2022
- [j45]Bongjin Koo, Maria R. Robu, Moustafa Allam, Micha Pfeiffer, Stephen A. Thompson, Kurinchi Gurusamy, Brian R. Davidson, Stefanie Speidel, David J. Hawkes, Danail Stoyanov, Matthew J. Clarkson:
Automatic, global registration in laparoscopic liver surgery. Int. J. Comput. Assist. Radiol. Surg. 17(1): 167-176 (2022) - [j44]Thomas Dowrick, Brian R. Davidson, Kurinchi Gurusamy, Matthew J. Clarkson:
Large scale simulation of labeled intraoperative scenes in unity. Int. J. Comput. Assist. Radiol. Surg. 17(5): 961-963 (2022) - [j43]João Ramalhinho, Bongjin Koo, Nina Montaña Brown, Shaheer U. Saeed, Ester Bonmati, Kurinchi Gurusamy, Stephen P. Pereira, Brian R. Davidson, Yipeng Hu, Matthew J. Clarkson:
Deep hashing for global registration of untracked 2D laparoscopic ultrasound to CT. Int. J. Comput. Assist. Radiol. Surg. 17(8): 1461-1468 (2022) - [j42]Fernando Pérez-García, Ali Alim-Marvasti, Gloria Romagnoli, Matthew J. Clarkson, Rachel Sparks, John S. Duncan, Sébastien Ourselin:
Software tool for visualization of a probabilistic map of the epileptogenic zone from seizure semiologies. Frontiers Neuroinformatics 16 (2022) - [j41]Ana M. Mota, Matthew J. Clarkson, Pedro Almeida, Nuno Matela:
Automatic Classification of Simulated Breast Tomosynthesis Whole Images for the Presence of Microcalcification Clusters Using Deep CNNs. J. Imaging 8(9): 231 (2022) - [j40]Manuel Birlo, P. J. Eddie Edwards, Matthew J. Clarkson, Danail Stoyanov:
Utility of optical see-through head mounted displays in augmented reality-assisted surgery: A systematic review. Medical Image Anal. 77: 102361 (2022) - [j39]Ester Bonmati, Yipeng Hu, Alexander Grimwood, Gavin J. Johnson, George Goodchild, Margaret G. Keane, Kurinchi Gurusamy, Brian R. Davidson, Matthew J. Clarkson, Stephen P. Pereira, Dean C. Barratt:
Voice-Assisted Image Labeling for Endoscopic Ultrasound Classification Using Neural Networks. IEEE Trans. Medical Imaging 41(6): 1311-1319 (2022) - [j38]Beatrice van Amsterdam, Isabel Funke, Eddie Edwards, Stefanie Speidel, Justin Collins, Ashwin Sridhar, John D. Kelly, Matthew J. Clarkson, Danail Stoyanov:
Gesture Recognition in Robotic Surgery With Multimodal Attention. IEEE Trans. Medical Imaging 41(7): 1677-1687 (2022) - [j37]Qianye Yang, David Atkinson, Yunguan Fu, Tom Syer, Wen Yan, Shonit Punwani, Matthew J. Clarkson, Dean C. Barratt, Tom Vercauteren, Yipeng Hu:
Cross-Modality Image Registration Using a Training-Time Privileged Third Modality. IEEE Trans. Medical Imaging 41(11): 3421-3431 (2022) - [c42]Ana M. Mota, Matthew J. Clarkson, Pedro Almeida, Nuno Matela:
Detection of Microcalcifications in Digital Breast Tomosynthesis using Faster R-CNN and 3D Volume Rendering. BIOIMAGING 2022: 80-89 - [c41]Simone Foti, Bongjin Koo, Danail Stoyanov, Matthew J. Clarkson:
3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces. CVPR 2022: 18709-18718 - [c40]Iani J. M. B. Gayo, Shaheer U. Saeed, Dean C. Barratt, Matthew J. Clarkson, Yipeng Hu:
Strategising Template-Guided Needle Placement for MR-targeted Prostate Biopsy. CaPTion@MICCAI 2022: 149-158 - [c39]Nina Montaña Brown, João Ramalhinho, Bongjin Koo, Moustafa Allam, Brian R. Davidson, Kurinchi Gurusamy, Yipeng Hu, Matthew J. Clarkson:
Towards Multi-modal Self-supervised Video and Ultrasound Pose Estimation for Laparoscopic Liver Surgery. ASMUS@MICCAI 2022: 183-192 - [c38]Asta Olafsdottir, David Butt, Addie Majed, Mark Falworth, Matthew J. Clarkson, Stephen A. Thompson:
SciKit-SurgeryGlenoid, an open source toolkit for glenoid version measurement. Medical Imaging: Image-Guided Procedures 2022 - [d3]Yiwen Li, Yunguan Fu, Iani J. M. B. Gayo, Qianye Yang, Zhe Min, Shaheer U. Saeed, Wen Yan, Yipei Wang, J. Alison Noble, Mark Emberton, Matthew J. Clarkson, Henkjan Huisman, Dean C. Barratt, Victor A. Prisacariu, Yipeng Hu:
Cross-institution Male Pelvic Structures. Zenodo, 2022
- [d2]Qi Li, Ziyi Shen, Qian Li, Dean C. Barratt, Thomas Dowrick, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu:
Freehand ultrasound without external trackers. Zenodo, 2022 - [i19]Manuel Birlo, P. J. Eddie Edwards, Matthew J. Clarkson, Danail Stoyanov:
Utility of Optical See-Through Head Mounted Displays in Augmented Reality-Assisted Surgery: A systematic review. CoRR abs/2202.04141 (2022) - [i18]Iani J. M. B. Gayo, Shaheer U. Saeed, Dean C. Barratt, Matthew J. Clarkson, Yipeng Hu:
Strategising template-guided needle placement for MR-targeted prostate biopsy. CoRR abs/2207.10784 (2022) - [i17]Qianye Yang, David Atkinson, Yunguan Fu, Tom Syer, Wen Yan, Shonit Punwani, Matthew J. Clarkson, Dean C. Barratt, Tom Vercauteren, Yipeng Hu:
Cross-Modality Image Registration using a Training-Time Privileged Third Modality. CoRR abs/2207.12901 (2022) - [i16]Yiwen Li, Yunguan Fu, Iani J. M. B. Gayo, Qianye Yang, Zhe Min, Shaheer U. Saeed, Wen Yan, Yipei Wang, J. Alison Noble, Mark Emberton, Matthew J. Clarkson, Henkjan J. Huisman, Dean C. Barratt, Victor Adrian Prisacariu, Yipeng Hu:
Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration. CoRR abs/2209.05160 (2022) - [i15]Qi Li, Ziyi Shen, Qian Li, Dean C. Barratt, Thomas Dowrick, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu:
Trackerless freehand ultrasound with sequence modelling and auxiliary transformation over past and future frames. CoRR abs/2211.04867 (2022) - [i14]Shaheer U. Saeed, João Ramalhinho, Mark A. Pinnock, Ziyi Shen, Yunguan Fu, Nina Montaña Brown, Ester Bonmati, Dean C. Barratt, Stephen P. Pereira, Brian R. Davidson, Matthew J. Clarkson, Yipeng Hu:
Active learning using adaptable task-based prioritisation. CoRR abs/2212.01703 (2022) - 2021
- [j36]Nina Montaña Brown, João Ramalhinho, Moustafa Allam, Brian R. Davidson, Yipeng Hu, Matthew J. Clarkson:
Vessel segmentation for automatic registration of untracked laparoscopic ultrasound to CT of the liver. Int. J. Comput. Assist. Radiol. Surg. 16(7): 1151-1160 (2021) - [j35]Jonathan Shapey, Thomas Dowrick, Rémi Delaunay, Eleanor C. Mackle, Stephen A. Thompson, Mirek Janatka, Roland Guichard, Anastasis Georgoulas, David Pérez-Suárez, Robert Bradford, Shakeel R. Saeed, Sébastien Ourselin, Matthew J. Clarkson, Tom Vercauteren:
Integrated multi-modality image-guided navigation for neurosurgery: open-source software platform using state-of-the-art clinical hardware. Int. J. Comput. Assist. Radiol. Surg. 16(8): 1347-1356 (2021) - [j34]Ali Alim-Marvasti, Fernando Pérez-García, Karan Dahele, Gloria Romagnoli, Beate Diehl, Rachel Sparks, Sébastien Ourselin, Matthew J. Clarkson, John S. Duncan:
Machine Learning for Localizing Epileptogenic-Zone in the Temporal Lobe: Quantifying the Value of Multimodal Clinical-Semiology and Imaging Concordance. Frontiers Digit. Health 3: 559103 (2021) - [j33]Beatrice van Amsterdam, Matthew J. Clarkson, Danail Stoyanov:
Gesture Recognition in Robotic Surgery: A Review. IEEE Trans. Biomed. Eng. 68(6): 2021-2035 (2021) - [j32]João Ramalhinho, Henry F. J. Tregidgo, Kurinchi Gurusamy, David J. Hawkes, Brian R. Davidson, Matthew J. Clarkson:
Registration of Untracked 2D Laparoscopic Ultrasound to CT Images of the Liver Using Multi-Labelled Content-Based Image Retrieval. IEEE Trans. Medical Imaging 40(3): 1042-1054 (2021) - [j31]Agnieszka Barbara Szczotka, Dzhoshkun Ismail Shakir, Matthew J. Clarkson, Stephen P. Pereira, Tom Vercauteren:
Zero-Shot Super-Resolution With a Physically-Motivated Downsampling Kernel for Endomicroscopy. IEEE Trans. Medical Imaging 40(7): 1863-1874 (2021) - [c37]Qianye Yang, Tom Vercauteren, Yunguan Fu, Francesco Giganti, Nooshin Ghavami, Vasilis Stavrinides, Caroline M. Moore, Matthew J. Clarkson, Dean C. Barratt, Yipeng Hu:
Morphological Change Forecasting For Prostate Glands Using Feature-Based Registration And Kernel Density Extrapolation. ISBI 2021: 1072-1076 - [c36]Alexander Grimwood, João Ramalhinho, Zachary M. C. Baum, Nina Montaña Brown, Gavin J. Johnson, Yipeng Hu, Matthew J. Clarkson, Stephen P. Pereira, Dean C. Barratt, Ester Bonmati:
Endoscopic Ultrasound Image Synthesis Using a Cycle-Consistent Adversarial Network. ASMUS@MICCAI 2021: 169-178 - [c35]Stephen A. Thompson, Thomas Dowrick, Mian Ahmad, Jeremy Opie, Matthew J. Clarkson:
Are fiducial registration error and target registration error correlated? SciKit-SurgeryFRED for teaching and research. Medical Imaging: Image-Guided Procedures 2021 - [i13]Qianye Yang, Tom Vercauteren, Yunguan Fu, Francesco Giganti, Nooshin Ghavami, Vasilis Stavrinides, Caroline M. Moore, Matthew J. Clarkson, Dean C. Barratt, Yipeng Hu:
Morphological Change Forecasting for Prostate Glands using Feature-based Registration and Kernel Density Extrapolation. CoRR abs/2101.06425 (2021) - [i12]Beatrice van Amsterdam, Matthew J. Clarkson, Danail Stoyanov:
Gesture Recognition in Robotic Surgery: a Review. CoRR abs/2102.00027 (2021) - [i11]Agnieszka Barbara Szczotka, Dzhoshkun Ismail Shakir, Matthew J. Clarkson, Stephen P. Pereira, Tom Vercauteren:
Zero-shot super-resolution with a physically-motivated downsampling kernel for endomicroscopy. CoRR abs/2103.14015 (2021) - [i10]Ester Bonmati, Yipeng Hu, Alexander Grimwood, Gavin J. Johnson, George Goodchild, Margaret G. Keane, Kurinchi Gurusamy, Brian R. Davidson, Matthew J. Clarkson, Stephen P. Pereira, Dean C. Barratt:
Voice-assisted Image Labelling for Endoscopic Ultrasound Classification using Neural Networks. CoRR abs/2110.06367 (2021) - [i9]Simone Foti, Bongjin Koo, Danail Stoyanov, Matthew J. Clarkson:
3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces. CoRR abs/2111.12448 (2021) - 2020
- [j30]Stephen A. Thompson, Thomas Dowrick, Mian Ahmad, Goufang Xiao, Bongjin Koo, Ester Bonmati, Kim Kahl, Matthew J. Clarkson:
SciKit-Surgery: compact libraries for surgical navigation. Int. J. Comput. Assist. Radiol. Surg. 15(7): 1075-1084 (2020) - [j29]Agnieszka Barbara Szczotka, Dzhoshkun Ismail Shakir, Daniele Ravì, Matthew J. Clarkson, Stephen P. Pereira, Tom Vercauteren:
Learning from irregularly sampled data for endomicroscopy super-resolution: a comparative study of sparse and dense approaches. Int. J. Comput. Assist. Radiol. Surg. 15(7): 1167-1175 (2020) - [j28]Ana M. Mota, Matthew J. Clarkson, Pedro Almeida, Luis Peralta, Nuno Matela:
Impact of total variation minimization in volume rendering visualization of breast tomosynthesis data. Comput. Methods Programs Biomed. 195: 105534 (2020) - [j27]Niels van Berkel, Matthew J. Clarkson, Guofang Xiao, Eren Dursun, Moustafa Allam, Brian R. Davidson, Ann Blandford:
Dimensions of ecological validity for usability evaluations in clinical settings. J. Biomed. Informatics 110: 103553 (2020) - [j26]Ana M. Mota, Matthew J. Clarkson, Pedro Almeida, Nuno Matela:
Optimization of Breast Tomosynthesis Visualization through 3D Volume Rendering. J. Imaging 6(7): 64 (2020) - [j25]Yunguan Fu, Nina Montaña Brown, Shaheer U. Saeed, Adrià Casamitjana, Zachary Baum, Rémi Delaunay, Qianye Yang, Alexander Grimwood, Zhe Min, Stefano B. Blumberg, Juan Eugenio Iglesias, Dean C. Barratt, Ester Bonmati, Daniel C. Alexander, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu:
DeepReg: a deep learning toolkit for medical image registration. J. Open Source Softw. 5(55): 2705 (2020) - [j24]Ana M. Mota, Matthew J. Clarkson, Pedro Almeida, Nuno Matela:
An Enhanced Visualization of DBT Imaging Using Blind Deconvolution and Total Variation Minimization Regularization. IEEE Trans. Medical Imaging 39(12): 4094-4101 (2020) - [c34]Beatrice van Amsterdam, Matthew J. Clarkson, Danail Stoyanov:
Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and Progress Prediction. ICRA 2020: 1380-1386 - [c33]Simone Foti, Bongjin Koo, Thomas Dowrick, João Ramalhinho, Moustafa Allam, Brian R. Davidson, Danail Stoyanov, Matthew J. Clarkson:
Intraoperative Liver Surface Completion with Graph Convolutional VAE. UNSURE/GRAIL@MICCAI 2020: 198-207 - [d1]Yunguan Fu, Nina Montaña Brown, Shaheer U. Saeed, Adrià Casamitjana, Zachary M. C. Baum, Rémi Delaunay, Qianye Yang, Alexander Grimwood, Zhe Min, Stefano B. Blumberg, Juan Eugenio Iglesias, Dean C. Barratt, Ester Bonmati, Daniel C. Alexander, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu:
DeepReg: a deep learning toolkit for medical image registration. Zenodo, 2020 - [i8]Beatrice van Amsterdam, Matthew J. Clarkson, Danail Stoyanov:
Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and Progress Prediction. CoRR abs/2003.04772 (2020) - [i7]Nina Montaña Brown, Yunguan Fu, Shaheer U. Saeed, Adrià Casamitjana, Zachary M. C. Baum, Rémi Delaunay, Qianye Yang, Alex Grimwood, Zhe Min, Ester Bonmati, Tom Vercauteren, Matthew J. Clarkson, Yipeng Hu:
Introduction to Medical Image Registration with DeepReg, Between Old and New. CoRR abs/2009.01924 (2020) - [i6]Simone Foti, Bongjin Koo, Thomas Dowrick, João Ramalhinho, Moustafa Allam, Brian R. Davidson, Danail Stoyanov, Matthew J. Clarkson:
Intraoperative Liver Surface Completion with Graph Convolutional VAE. CoRR abs/2009.03871 (2020) - [i5]Yunguan Fu, Nina Montaña Brown, Shaheer U. Saeed, Adrià Casamitjana, Zachary M. C. Baum, Rémi Delaunay, Qianye Yang, Alexander Grimwood, Zhe Min, Stefano B. Blumberg, Juan Eugenio Iglesias, Dean C. Barratt, Ester Bonmati, Daniel C. Alexander, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu:
DeepReg: a deep learning toolkit for medical image registration. CoRR abs/2011.02580 (2020)
2010 – 2019
- 2019
- [c32]João Ramalhinho, Henry F. J. Tregidgo, Moustafa Allam, Nikolina Travlou, Kurinchi Gurusamy, Brian R. Davidson, David J. Hawkes, Dean C. Barratt, Matthew J. Clarkson:
Registration of Untracked 2D Laparoscopic Ultrasound Liver Images to CT Using Content-Based Retrieval and Kinematic Priors. SUSI/PIPPI@MICCAI 2019: 11-19 - [c31]Micha Pfeiffer, Isabel Funke, Maria R. Robu, Sebastian Bodenstedt, Leon Strenger, Sandy Engelhardt, Tobias Roß, Matthew J. Clarkson, Kurinchi Gurusamy, Brian R. Davidson, Lena Maier-Hein, Carina Riediger, Thilo Welsch, Jürgen Weitz, Stefanie Speidel:
Generating Large Labeled Data Sets for Laparoscopic Image Processing Tasks Using Unpaired Image-to-Image Translation. MICCAI (5) 2019: 119-127 - [c30]Yunguan Fu, Maria R. Robu, Bongjin Koo, Crispin Schneider, Stijn van Laarhoven, Danail Stoyanov, Brian R. Davidson, Matthew J. Clarkson, Yipeng Hu:
More Unlabelled Data or Label More Data? A Study on Semi-supervised Laparoscopic Image Segmentation. DART/MIL3ID@MICCAI 2019: 173-180 - [i4]Micha Pfeiffer, Isabel Funke, Maria R. Robu, Sebastian Bodenstedt, Leon Strenger, Sandy Engelhardt, Tobias Roß, Matthew J. Clarkson, Kurinchi Gurusamy, Brian R. Davidson, Lena Maier-Hein, Carina Riediger, Thilo Welsch, Jürgen Weitz, Stefanie Speidel:
Generating large labeled data sets for laparoscopic image processing tasks using unpaired image-to-image translation. CoRR abs/1907.02882 (2019) - [i3]Yunguan Fu, Maria R. Robu, Bongjin Koo, Crispin Schneider, Stijn van Laarhoven, Danail Stoyanov, Brian R. Davidson, Matthew J. Clarkson, Yipeng Hu:
More unlabelled data or label more data? A study on semi-supervised laparoscopic image segmentation. CoRR abs/1908.08035 (2019) - [i2]Agnieszka Barbara Szczotka, Dzhoshkun Ismail Shakir, Daniele Ravì, Matthew J. Clarkson, Stephen P. Pereira, Tom Vercauteren:
Learning from Irregularly Sampled Data for Endomicroscopy Super-resolution: A Comparative Study of Sparse and Dense Approaches. CoRR abs/1911.13169 (2019) - 2018
- [j23]Stephen A. Thompson, Crispin Schneider, Michele Bosi, Kurinchi Gurusamy, Sébastien Ourselin, Brian R. Davidson, David J. Hawkes, Matthew J. Clarkson:
In vivo estimation of target registration errors during augmented reality laparoscopic surgery. Int. J. Comput. Assist. Radiol. Surg. 13(6): 865-874 (2018) - [j22]Ester Bonmati, Yipeng Hu, Eli Gibson, Laura Uribarri, Geri Keane, Kurinchi Gurusamy, Brian R. Davidson, Stephen P. Pereira, Matthew J. Clarkson, Dean C. Barratt:
Determination of optimal ultrasound planes for the initialisation of image registration during endoscopic ultrasound-guided procedures. Int. J. Comput. Assist. Radiol. Surg. 13(6): 875-883 (2018) - [j21]Alejandro Granados, Vejay Vakharia, Roman Rodionov, Martin Schweiger, Sjoerd B. Vos, Aidan G. O'Keeffe, Kuo Li, Chengyuan Wu, Anna Miserocchi, Andrew W. McEvoy, Matthew J. Clarkson, John S. Duncan, Rachel Sparks, Sébastien Ourselin:
Automatic segmentation of stereoelectroencephalography (SEEG) electrodes post-implantation considering bending. Int. J. Comput. Assist. Radiol. Surg. 13(6): 935-946 (2018) - [j20]Maria R. Robu, João Ramalhinho, Stephen A. Thompson, Kurinchi Gurusamy, Brian R. Davidson, David J. Hawkes, Danail Stoyanov, Matthew J. Clarkson:
Global rigid registration of CT to video in laparoscopic liver surgery. Int. J. Comput. Assist. Radiol. Surg. 13(6): 947-956 (2018) - [j19]João Ramalhinho, Maria R. Robu, Stephen A. Thompson, Kurinchi Gurusamy, Brian R. Davidson, David J. Hawkes, Dean C. Barratt, Matthew J. Clarkson:
A pre-operative planning framework for global registration of laparoscopic ultrasound to CT images. Int. J. Comput. Assist. Radiol. Surg. 13(8): 1177-1186 (2018) - [j18]Eli Gibson, Francesco Giganti, Yipeng Hu, Ester Bonmati, Steve Bandula, Kurinchi Gurusamy, Brian R. Davidson, Stephen P. Pereira, Matthew J. Clarkson, Dean C. Barratt:
Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks. IEEE Trans. Medical Imaging 37(8): 1822-1834 (2018) - [c29]Neil T. Clancy, Kurinchi Gurusamy, Geoffrey Jones, Brian R. Davidson, Matthew J. Clarkson, David J. Hawkes, Danail Stoyanov:
Spectral Imaging Of Thermal Damage Induced During Microwave Ablation In The Liver. EMBC 2018: 3001-3004 - [c28]Timur Kuzhagaliyev, Neil T. Clancy, Mirek Janatka, Kevin Tchaka, Francisco Vasconcelos, Matthew J. Clarkson, Kurinchi Gurusamy, David J. Hawkes, Brian R. Davidson, Danail Stoyanov:
Augmented reality needle ablation guidance tool for irreversible electroporation in the pancreas. Medical Imaging: Image-Guided Procedures 2018: 1057613 - [i1]Timur Kuzhagaliyev, Neil T. Clancy, Mirek Janatka, Kevin Tchaka, Francisco Vasconcelos, Matthew J. Clarkson, Kurinchi Gurusamy, David J. Hawkes, Brian R. Davidson, Danail Stoyanov:
Augmented Reality needle ablation guidance tool for Irreversible Electroporation in the pancreas. CoRR abs/1802.03274 (2018) - 2017
- [j17]Maria Robu, Philip J. Edwards, João Ramalhinho, Stephen A. Thompson, Brian R. Davidson, David J. Hawkes, Danail Stoyanov, Matthew J. Clarkson:
Intelligent viewpoint selection for efficient CT to video registration in laparoscopic liver surgery. Int. J. Comput. Assist. Radiol. Surg. 12(7): 1079-1088 (2017) - [j16]Yipeng Hu, Veeru Kasivisvanathan, Lucy A. M. Simmons, Matthew J. Clarkson, Stephen A. Thompson, Taimur T. Shah, Hashim Uddin Ahmed, Shonit Punwani, David J. Hawkes, Mark Emberton, Caroline M. Moore, Dean C. Barratt:
Development and Phantom Validation of a 3-D-Ultrasound-Guided System for Targeting MRI-Visible Lesions During Transrectal Prostate Biopsy. IEEE Trans. Biomed. Eng. 64(4): 946-958 (2017) - [c27]Eli Gibson, Francesco Giganti, Yipeng Hu, Ester Bonmati, Steve Bandula, Kurinchi Gurusamy, Brian R. Davidson, Stephen P. Pereira, Matthew J. Clarkson, Dean C. Barratt:
Towards Image-Guided Pancreas and Biliary Endoscopy: Automatic Multi-organ Segmentation on Abdominal CT with Dense Dilated Networks. MICCAI (1) 2017: 728-736 - [c26]Eli Gibson, Maria R. Robu, Stephen A. Thompson, Eddie Edwards, Crispin Schneider, Kurinchi Gurusamy, Brian R. Davidson, David J. Hawkes, Dean C. Barratt, Matthew J. Clarkson:
Deep residual networks for automatic segmentation of laparoscopic videos of the liver. Medical Imaging: Image-Guided Procedures 2017: 101351M - [c25]Stephen A. Thompson, Yannic Meuer, Eddie Edwards, João Ramalhinho, Maria Ruxandra Robu, Danail Stoyanov, Sébastien Ourselin, Brian R. Davidson, David J. Hawkes, Matthew J. Clarkson:
On pattern selection for laparoscope calibration. Medical Imaging: Image-Guided Procedures 2017: 101351W - [c24]João Ramalhinho, Maria Robu, Stephen A. Thompson, Philip J. Edwards, Crispin Schneider, Kurinchi Gurusamy, David J. Hawkes, Brian R. Davidson, Dean C. Barratt, Matthew J. Clarkson:
Breathing motion compensated registration of laparoscopic liver ultrasound to CT. Medical Imaging: Image-Guided Procedures 2017: 101352V - 2016
- [j15]Stephen A. Thompson, Danail Stoyanov, Crispin Schneider, Kurinchi Gurusamy, Sébastien Ourselin, Brian R. Davidson, David J. Hawkes, Matthew J. Clarkson:
Hand-eye calibration for rigid laparoscopes using an invariant point. Int. J. Comput. Assist. Radiol. Surg. 11(6): 1071-1080 (2016) - [c23]Ester Bonmati, Yipeng Hu, Kurinchi Gurusamy, Brian R. Davidson, Stephen P. Pereira, Matthew J. Clarkson, Dean C. Barratt:
Assessment of Electromagnetic Tracking Accuracy for Endoscopic Ultrasound. CARE@MICCAI 2016: 36-47 - 2015
- [j14]Matthew J. Clarkson, Gergely Zombori, Steve Thompson, Johannes Totz, Yi Song, Miklos Espak, Stian Flage Johnsen, David J. Hawkes, Sébastien Ourselin:
The NifTK software platform for image-guided interventions: platform overview and NiftyLink messaging. Int. J. Comput. Assist. Radiol. Surg. 10(3): 301-316 (2015) - [j13]Stian Flage Johnsen, Zeike A. Taylor, Matthew J. Clarkson, John H. Hipwell, Marc Modat, Björn Eiben, Lianghao Han, Yipeng Hu, Thomy Mertzanidou, David J. Hawkes, Sébastien Ourselin:
NiftySim: A GPU-based nonlinear finite element package for simulation of soft tissue biomechanics. Int. J. Comput. Assist. Radiol. Surg. 10(7): 1077-1095 (2015) - [j12]Stian Flage Johnsen, Zeike A. Taylor, Lianghao Han, Yipeng Hu, Matthew J. Clarkson, David J. Hawkes, Sébastien Ourselin:
Detection and modelling of contacts in explicit finite-element simulation of soft tissue biomechanics. Int. J. Comput. Assist. Radiol. Surg. 10(11): 1873-1891 (2015) - [j11]Yi Song, Johannes Totz, Steve Thompson, Stian Flage Johnsen, Dean C. Barratt, Crispin Schneider, Kurinchi Gurusamy, Brian R. Davidson, Sébastien Ourselin, David J. Hawkes, Matthew J. Clarkson:
Locally rigid, vessel-based registration for laparoscopic liver surgery. Int. J. Comput. Assist. Radiol. Surg. 10(12): 1951-1961 (2015) - [c22]Stian Flage Johnsen, Stephen A. Thompson, Matthew J. Clarkson, Marc Modat, Yi Song, Johannes Totz, Kurinchi Gurusamy, Brian R. Davidson, Zeike A. Taylor, David J. Hawkes, Sébastien Ourselin:
Database-Based Estimation of Liver Deformation under Pneumoperitoneum for Surgical Image-Guidance and Simulation. MICCAI (2) 2015: 450-458 - [c21]Stephen A. Thompson, Johannes Totz, Yi Song, Stian Flage Johnsen, Danail Stoyanov, Sébastien Ourselin, Kurinchi Gurusamy, Crispin Schneider, Brian R. Davidson, David J. Hawkes, Matthew J. Clarkson:
Accuracy validation of an image guided laparoscopy system for liver resection. Medical Imaging: Image-Guided Procedures 2015: 941509 - 2014
- [c20]Max Allan, Steve Thompson, Matthew J. Clarkson, Sébastien Ourselin, David J. Hawkes, John D. Kelly, Danail Stoyanov:
2D-3D Pose Tracking of Rigid Instruments in Minimally Invasive Surgery. IPCAI 2014: 1-10 - [c19]Gergely Zombori, Roman Rodionov, Mark Nowell, Maria A. Zuluaga, Matthew J. Clarkson, Caroline Micallef, Beate Diehl, Tim Wehner, A. Miserochi, Andrew W. McEvoy, John S. Duncan, Sébastien Ourselin:
A Computer Assisted Planning System for the Placement of sEEG Electrodes in the Treatment of Epilepsy. IPCAI 2014: 118-127 - [c18]Johannes Totz, Stephen A. Thompson, Danail Stoyanov, Kurinchi Gurusamy, Brian R. Davidson, David J. Hawkes, Matthew J. Clarkson:
Fast Semi-dense Surface Reconstruction from Stereoscopic Video in Laparoscopic Surgery. IPCAI 2014: 206-215 - 2012
- [j10]Hubert M. J. Fonteijn, Marc Modat, Matthew J. Clarkson, Josephine Barnes, Manja Lehmann, Nicola Z. Hobbs, Rachael I. Scahill, Sarah J. Tabrizi, Sébastien Ourselin, Nick C. Fox, Daniel C. Alexander:
An event-based model for disease progression and its application in familial Alzheimer's disease and Huntington's disease. NeuroImage 60(3): 1880-1889 (2012) - [c17]David M. Cash, Andrew Melbourne, Marc Modat, Manuel Jorge Cardoso, Matthew J. Clarkson, Nick C. Fox, Sébastien Ourselin:
Cortical Folding Analysis on Patients with Alzheimer's Disease and Mild Cognitive Impairment. MICCAI (3) 2012: 289-296 - [c16]Stian Flage Johnsen, Zeike A. Taylor, Matthew J. Clarkson, Stephen A. Thompson, M. Hu, Kurinchi Gurusamy, Brian R. Davidson, David J. Hawkes, Sébastien Ourselin:
Explicit contact modeling for surgical computer guidance and simulation. Medical Imaging: Image-Guided Procedures 2012: 831623 - 2011
- [j9]Manuel Jorge Cardoso, Matthew J. Clarkson, Gerard R. Ridgway, Marc Modat, Nick C. Fox, Sébastien Ourselin:
LoAd: A locally adaptive cortical segmentation algorithm. NeuroImage 56(3): 1386-1397 (2011) - [j8]Matthew J. Clarkson, Manuel Jorge Cardoso, Gerard R. Ridgway, Marc Modat, Kelvin K. Leung, Jonathan D. Rohrer, Nick C. Fox, Sébastien Ourselin:
A comparison of voxel and surface based cortical thickness estimation methods. NeuroImage 57(3): 856-865 (2011) - [c15]Manuel Jorge Cardoso, Matthew J. Clarkson, Marc Modat, Sébastien Ourselin:
On the Extraction of Topologically Correct Thickness Measurements Using Khalimsky's Cubic Complex. IPMI 2011: 159-170 - [c14]Hubert M. J. Fonteijn, Matthew J. Clarkson, Marc Modat, Josephine Barnes, Manja Lehmann, Sébastien Ourselin, Nick C. Fox, Daniel C. Alexander:
An Event-Based Disease Progression Model and Its Application to Familial Alzheimer's Disease. IPMI 2011: 748-759 - [c13]Matthew J. Clarkson, Manuel Jorge Cardoso, Marc Modat, Gerard R. Ridgway, Kelvin K. Leung, Jonathan D. Rohrer, Nick C. Fox, Sébastien Ourselin:
Cross-sectional analysis using voxel or surface based cortical thickness methods: A comparison study. ISBI 2011: 381-384 - [c12]Manuel Jorge Cardoso, Matthew J. Clarkson, Marc Modat, Sébastien Ourselin:
Longitudinal Cortical Thickness Estimation Using Khalimsky's Cubic Complex. MICCAI (2) 2011: 467-475 - [c11]Manuel Jorge Cardoso, Matthew J. Clarkson, Marc Modat, Hugues Talbot, Michel Couprie, Sébastien Ourselin:
Topologically correct cortical segmentation using Khalimsky's cubic complex framework. Medical Imaging: Image Processing 2011: 79620P - 2010
- [j7]Jonathan D. Rohrer, Gerard R. Ridgway, Sebastian J. Crutch, Julia C. Hailstone, Johanna C. Goll, Matthew J. Clarkson, Simon Mead, Jonathan Beck, Cath Mummery, Sébastien Ourselin, Elizabeth K. Warrington, Martin Rossor, Jason D. Warren:
Progressive logopenic/phonological aphasia: Erosion of the language network. NeuroImage 49(1): 984-993 (2010) - [j6]Kelvin K. Leung, Matthew J. Clarkson, Jonathan W. Bartlett, Shona Clegg, Clifford R. Jack Jr., Michael W. Weiner, Nick C. Fox, Sébastien Ourselin:
Robust atrophy rate measurement in Alzheimer's disease using multi-site serial MRI: Tissue-specific intensity normalization and parameter selection. NeuroImage 50(2): 516-523 (2010) - [j5]Kelvin K. Leung, Josephine Barnes, Gerard R. Ridgway, Jonathan W. Bartlett, Matthew J. Clarkson, Kate E. Macdonald, Norbert Schuff, Nick C. Fox, Sébastien Ourselin:
Automated cross-sectional and longitudinal hippocampal volume measurement in mild cognitive impairment and Alzheimer's disease. NeuroImage 51(4): 1345-1359 (2010) - [j4]Josephine Barnes, Gerard R. Ridgway, Jonathan W. Bartlett, Susie M. D. Henley, Manja Lehmann, Nicola Z. Hobbs, Matthew J. Clarkson, David G. MacManus, Sébastien Ourselin, Nick C. Fox:
Head size, age and gender adjustment in MRI studies: a necessary nuisance? NeuroImage 53(4): 1244-1255 (2010) - [c10]Manuel Jorge Cardoso, Matthew J. Clarkson, Marc Modat, Gerard R. Ridgway, Sébastien Ourselin:
Locally weighted Markov random fields for cortical segmentation. ISBI 2010: 956-959 - [c9]Guang Yang, John H. Hipwell, Matthew J. Clarkson, Christine Tanner, Thomy Mertzanidou, Spencer Gunn, Sébastien Ourselin, David J. Hawkes, Simon R. Arridge:
Combined Reconstruction and Registration of Digital Breast Tomosynthesis. Digital Mammography / IWDM 2010: 760-768 - [c8]Kelvin K. Leung, Kai-Kai Shen, Josephine Barnes, Gerard R. Ridgway, Matthew J. Clarkson, Jurgen Fripp, Olivier Salvado, Fabrice Mériaudeau, Nick C. Fox, Pierrick Bourgeat:
Increasing Power to Predict Mild Cognitive Impairment Conversion to Alzheimer's Disease Using Hippocampal Atrophy Rate and Statistical Shape Models. MICCAI (2) 2010: 125-132 - [c7]Matthew J. Clarkson, Ian B. Malone, Marc Modat, Kelvin K. Leung, Natalie S. Ryan, Daniel C. Alexander, Nick C. Fox, Sébastien Ourselin:
A Framework for Using Diffusion Weighted Imaging to Improve Cortical Parcellation. MICCAI (1) 2010: 534-541
2000 – 2009
- 2009
- [j3]Matthew J. Clarkson, Sébastien Ourselin, Casper Nielsen, Kelvin K. Leung, Josephine Barnes, Jennifer L. Whitwell, Jeffrey L. Gunter, Derek L. G. Hill, Michael W. Weiner, Clifford R. Jack Jr., Nick C. Fox:
Comparison of phantom and registration scaling corrections using the ADNI cohort. NeuroImage 47(4): 1506-1513 (2009) - [c6]Manuel Jorge Cardoso, Matthew J. Clarkson, Gerard R. Ridgway, Marc Modat, Nick C. Fox, Sébastien Ourselin:
Improved Maximum a Posteriori Cortical Segmentation by Iterative Relaxation of Priors. MICCAI (1) 2009: 441-449 - 2001
- [j2]Matthew J. Clarkson, Daniel Rueckert, Derek L. G. Hill, David J. Hawkes:
Using Photo-Consistency to Register 2D Optical Images of the Human Face to a 3D Surface Model. IEEE Trans. Pattern Anal. Mach. Intell. 23(11): 1266-1280 (2001) - 2000
- [j1]Andrew P. King, Philip J. Edwards, Calvin R. Maurer Jr., Darryl A. de Cunha, Ronald P. Gaston, Matthew J. Clarkson, Derek L. G. Hill, David J. Hawkes, Michael R. Fenlon, Anthony J. Strong, Tim C. S. Cox, Michael J. Gleeson:
Stereo Augmented Reality in the Surgical Microscope. Presence Teleoperators Virtual Environ. 9(4): 360-368 (2000) - [c5]Christine Tanner, Julia A. Schnabel, Daniel Chung, Matthew J. Clarkson, Daniel Rueckert, Derek L. G. Hill, David J. Hawkes:
Volume and Shape Preservation of Enhancing Lesions when Applying Non-rigid Registration to a Time Series of Contrast Enhancing MR Breast Images. MICCAI 2000: 327-337 - [c4]Matthew J. Clarkson, Daniel Rueckert, Derek L. G. Hill, David John Hawkes:
Multiple 2D video/3D medical image registration algorithm. Medical Imaging: Image Processing 2000 - [c3]Daniel Rueckert, Matthew J. Clarkson, Derek L. G. Hill, David John Hawkes:
Non-rigid registration using higher-order mutual information. Medical Imaging: Image Processing 2000
1990 – 1999
- 1999
- [c2]Matthew J. Clarkson, Daniel Rueckert, Andrew P. King, Philip J. Edwards, Derek L. G. Hill, David J. Hawkes:
Registration of Video Images to Tomographic Images by Optimising Mutual Information Using Texture Mapping. MICCAI 1999: 579-588 - [c1]Matthew J. Clarkson, Daniel Rueckert, Derek L. G. Hill, David John Hawkes:
Registration of multiple video images to preoperative CT for image-guided surgery. Medical Imaging: Image Processing 1999
Coauthor Index
David J. Hawkes
aka: David John Hawkes
aka: David John Hawkes
[j56] [j51] [j50] [c55] [c52] [i37] [i36] [i32] [i31] [j47] [c51] [c49] [c48] [c47] [c45] [c44] [i26] [i25] [i24] [i23] [i22] [i20] [j43] [j39] [j37] [c40] [c39] [d3] [d2] [i18] [i17] [i16] [i15] [i14] [j36] [c37] [c36] [i13] [i10] [j25] [d1] [i7] [i5] [c30] [i3] [j22] [j18] [j16] [c27] [c23] [j13] [j12]
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