Mixture effects in FIR low-pass filtered signals. - John Chiverton; Kevin Wells (IEEE Signal Process. Lett., 2006)

Statistical morphological skull stripping of adult and infant MRI data. - John Chiverton; Kevin Wells; Emma Lewis; Chao Chen; Barbara Podda; Declan Johnson (Comput. Biol. Medicine, 2007)

Design of a Wire-Mesh Collimator for Gamma Cameras. - M. Iqbal Saripan; Maria Petrou; Kevin Wells (IEEE Trans. Biomed. Eng., 2007)

Validation of a Digital Mammography Image Simulation Chain with Automated Scoring of CDMAM Images. - Mary Yip; Abdulaziz Alsager; Emma Lewis; Kevin Wells; Kenneth C. Young (Digital Mammography / IWDM, 2008)

Segmentation of low contrast-to-noise ratio images applied to functional imaging using adaptive region growing. - Jorge Cabello; Alexis Bailey; I. Kitchen; M. Guy; Kevin Wells (Image Processing, 2009)

Monte Carlo Simulation of Scatter Field for Calculation of Contrast of Discs in Synthetic CDMAM Images. - Oliver Díaz; Mary Yip; Jorge Cabello; David R. Dance; Kenneth C. Young; Kevin Wells (Digital Mammography / IWDM, 2010)

Adapting Clinical Images to Appear with Different Noise and Sharpness to Model a Different Detector. - Alistair Mackenzie; Adam Workman; David R. Dance; Mary Yip; Kevin Wells; Kenneth C. Young (Digital Mammography / IWDM, 2010)

Validation of a Simulated Dose Reduction Methodology Using Digital Mammography CDMAM Images and Mastectomy Images. - Mary Yip; Federica Zanca; Alistair Mackenzie; Adam Workman; Kenneth C. Young; David R. Dance; Hilde Bosmans; Emma Lewis; Kevin Wells (Digital Mammography / IWDM, 2010)

An observation model for motion correction in nuclear medicine. - Majdi R. Alnowami; Emma Lewis; Matthew Guy; Kevin Wells (Image Processing, 2010)

Development of a particle filter framework for respiratory motion correction in nuclear medicine imaging. - Ashrani Aizzuddin Abd. Rahni; Emma Lewis; Kevin Wells; Matthew Guy; Budhaditya Goswami (Image Processing, 2010)

An iterative particle filter approach for respiratory motion estimation in nuclear medicine imaging. - Ashrani Aizzuddin Abd. Rahni; Kevin Wells; Emma Lewis; Matthew Guy; Budhaditya Goswami (Image Processing, 2011)

A Modelling Framework for Evaluation of 2D-Mammography and Breast Tomosynthesis Systems. - Premkumar Elangovan; Alistair Mackenzie; Oliver Díaz; Alaleh Rashidnasab; David R. Dance; Kenneth C. Young; Lucy M. Warren; Eman Shaheen; Hilde Bosmans; Predrag R. Bakic; Kevin Wells (Digital Mammography / IWDM, 2012)

A quantitative assessment of using the Kinect for Xbox 360 for respiratory surface motion tracking. - Majdi R. Alnowami; B. Alnwaimi; Fatemeh Tahavori; M. Copland; Kevin Wells (Image-Guided Procedures, 2012)

Development of a semi-automated segmentation framework for thoracic-abdominal organs. - Ashrani Aizzuddin Abd. Rahni; Emma Lewis; Kevin Wells (ICSIPA, 2013)

Characterisation of respiratory motion extracted from 4D MRI. - Ashrani Aizzuddin Abd. Rahni; Emma Lewis; Kevin Wells (Image Processing, 2013)

Recursive Bayesian estimation of respiratory motion using a modified autoregressive transition model. - Ashrani Aizzuddin Abd. Rahni; Emma Lewis; Kevin Wells (Image Processing, 2013)

Extracting respiratory motion from 4D MRI using organ-wise registration. - Ashrani Aizzuddin Abd. Rahni; Rhodri Smith; Emma Lewis; Kevin Wells (Image Processing, 2013)

Marker-less respiratory motion modeling using the Microsoft Kinect for Windows. - Fatemeh Tahavori; Majdi R. Alnowami; Kevin Wells (Image-Guided Procedures, 2014)

Motion estimation for nuclear medicine: a probabilistic approach. - Rhodri Smith; Ashrani Aizzuddin Abd. Rahni; John Jones; Fatemeh Tahavori; Kevin Wells (Image Processing, 2014)

Combining marker-less patient setup and respiratory motion monitoring using low cost 3D camera technology. - Fatemeh Tahavori; E. Adams; M. Dabbs; L. Aldridge; N. Liversidge; E. Donovan; T. Jordan; Philp M. Evans; Kevin Wells (Image-Guided Procedures, 2015)

OPTIMAM Image Simulation Toolbox - Recent Developments and Ongoing Studies. - Premkumar Elangovan; Andria Hadjipanteli; Alistair Mackenzie; David R. Dance; Kenneth C. Young; Kevin Wells (Digital Mammography / IWDM, 2016)

Effect of Dose on the Detection of Micro-Calcification Clusters for Planar and Tomosynthesis Imaging. - Alistair Mackenzie; Andria Hadjipanteli; Premkumar Elangovan; Padraig T. Looney; Rebecca Ealden; Lucy M. Warren; David R. Dance; Kevin Wells; Kenneth C. Young (Digital Mammography / IWDM, 2016)

Movement correction in DCE-MRI through windowed and reconstruction dynamic mode decomposition. - Santosh Tirunagari; Norman Poh; Kevin Wells; Miroslaw Bober; Isky Gorden; David Windridge (Mach. Vis. Appl., 2017)

Sleep Posture Classification using a Convolutional Neural Network. - Sara Mahvash Mohammadi; Majdi R. Alnowami; Sofia Khan; Derk-Jan Dijk; Adrian Hilton 001; Kevin Wells (EMBC, 2018)

A Deep Learning Model Observer for use in Alterative Forced Choice Virtual Clinical Trials. - Majdi R. Alnowami; G. Mills; M. Awis; Premkumar Elangovan; Mishal N. Patel; Mark D. Halling-Brown; Kenneth Y. Young; David R. Dance; Kevin Wells (Image Perception, Observer Performance, and Technology Assessment, 2018)

Two-Step Deep Learning for Estimating Human Sleep Pose Occluded by Bed Covers. - Sara Mahvash Mohammadi; Samaneh Kouchaki; Sofia Khan; Derk-Jan Dijk; Adrian Hilton 001; Kevin Wells (EMBC, 2019)

Tensor Factorisation and Transfer Learning for Sleep Pose Detection. - Sara Mahvash Mohammadi; Samaneh Kouchaki; Saeid Sanei; Derk-Jan Dijk; Adrian Hilton 001; Kevin Wells (EUSIPCO, 2019)

Using deep machine learning to detect esophageal lesions in PET-CT scans. - Ian Ackerley; Rhodri Smith; James W. Scuffham; Mark D. Halling-Brown; Emma Lewis; Emiliano Spezi; V. Prakash; Kevin Wells (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

An investigation of aggregated transfer learning for classification in digital pathology. - Taranpreet Rai; A. Morisi; B. Bacci; N. J. Bacon; Spencer Angus Thomas; R. M. La Ragione; M. Bober; Kevin Wells (Digital Pathology, 2019)

Can ImageNet feature maps be applied to small histopathological datasets for the classification of breast cancer metastatic tissue in whole slide images? - Taranpreet Rai; A. Morisi; B. Bacci; N. J. Bacon; Spencer Angus Thomas; R. M. La Ragione; M. Bober; Kevin Wells (Digital Pathology, 2019)

Using transfer learning for a deep learning model observer. - W. Murphy; Premkumar Elangovan; Mark D. Halling-Brown; Emma Lewis; K. C. Young; David R. Dance; Kevin Wells (Image Perception, Observer Performance, and Technology Assessment, 2019)

Sparse Multimodal Classification of EEG Signals from Rapid Serial Visual Presentation of Diagnostic Images. - Valentina Sulimova; Sergey Bukhonov; Olga Krasotkina; Vadim Mottl; Annette Sterr; Kevin Wells; David Windridge (MLDM (1), 2019)

Functional Segmentation through Dynamic Mode Decomposition: Automatic Quantification of Kidney Function in DCE-MRI Images. - Santosh Tirunagari; Norman Poh; Kevin Wells; Miroslaw Bober; Isky Gorden; David Windridge (CoRR, 2019)

Automatic Delineation of Kidney Region in DCE-MRI. - Santosh Tirunagari; Norman Poh; Kevin Wells; Miroslaw Bober; Isky Gorden; David Windridge (CoRR, 2019)

A multifaceted benchmarking of GAN architectures on generating synthetic satellite imagery. - Kevin Wells; Felipe A. Lopes; Vasit Sagan; Flavio Esposito (AIPR, 2023)

Differentiating Vessel and Iceberg with CNN Using SAR Imagery for Arctic Navigatability. - Kevin Wells; Vasit Sagan; Yusupujiang Aimaiti (IGARSS, 2023)

Investigating the potential of untrained convolutional layers and pruning in computational pathology. - Taranpreet Rai; Ioannis Papanikolaou; N. Dave; A. Morisi; B. Bacci; Spencer Angus Thomas; R. M. La Ragione; Kevin Wells (Digital and Computational Pathology, 2023)

Learning to Complement with Multiple Humans (LECOMH): Integrating Multi-rater and Noisy-Label Learning into Human-AI Collaboration. - Zheng Zhang 046; Kevin Wells; Gustavo Carneiro 001 (CoRR, 2023)

Learning to Complement and to Defer to Multiple Users. - Zheng Zhang 046; Wenjie Ai; Kevin Wells; David Rosewarne; Thanh-Toan Do; Gustavo Carneiro 001 (ECCV (56), 2024)

A Novel Multiple Camera RGB-D Calibration Approach Using Simulated Annealing. - Mehran Taghipour-Gorjikolaie; Marco Volino; Clare Rusbridge; Kevin Wells (IEEE Access, 2024)

Fair Distillation: Teaching Fairness from Biased Teachers in Medical Imaging. - Milad Masroor; Tahir Hassan; Yu Tian 001; Kevin Wells; David Rosewarne; Thanh-Toan Do; Gustavo Carneiro 001 (CoRR, 2024)

Coverage-Constrained Human-AI Cooperation with Multiple Experts. - Zheng Zhang 046; Cuong Nguyen 006; Kevin Wells; Thanh-Toan Do; David Rosewarne; Gustavo Carneiro 001 (CoRR, 2024)