J. Alison Noble

发表

Joseph L. Mundy, J. Alison Noble, Van-Duc Nguyen, 1992, ECCV.

Real-Time Registration of 3D Cerebral Vessels to X-ray Angiograms

J. Alison Noble, Yasuyo Kita, Dale L. Wilson, 1998, MICCAI.

J. Alison Noble, J. Noble, J. Noble, 1988, Alvey Vision Conference.

Toward a method for automatic grading of microscope human embryo images

J. Alison Noble, E. Santos Filho, D. Wells, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

An object-oriented approach to template guided visual inspection

Aaron Heller, Joseph L. Mundy, J. Alison Noble, 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Tissue Perfusion Diagnostic Classification Using a Spatio-temporal Analysis of Contrast Ultrasound Image Sequences

J. Alison Noble, Quentin R. Williams, Alexander Ehlgen, 2005, IPMI.

Adaptive Multiscale Ultrasound Compounding Using Phase Information

J. Alison Noble, Vicente Grau, J. Noble, 2005, MICCAI.

Class-Specific Regression Random Forest for Accurate Extraction of Standard Planes from 3D Echocardiography

J. Alison Noble, Kiryl Chykeyuk, Mohammad Yaqub, 2013, MCV.

Longitudinal Image Registration with Temporal-order and Subject-specificity Discrimination

Tom Vercauteren, J. Alison Noble, Nooshin Ghavami, 2020, MICCAI.

Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge

Xavier Bresson, Meritxell Bach Cuadra, Changming Sun, 2014, IEEE Transactions on Medical Imaging.

3D Vascular Segmentation Using MRA Statistics and Velocity Field Information in PC-MRA

Michael Brady, J. Alison Noble, Albert C. S. Chung, 2001, IPMI.

VP‐Nets : Efficient automatic localization of key brain structures in 3D fetal neurosonography

J. Alison Noble, Ruobing Huang, Weidi Xie, 2018, Medical Image Anal..

Interpreting ultrasound elastography: Image registration of breast cancer ultrasound elastography to histopathology images

J. Alison Noble, Brian Chuang, Andriy Myronenko, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Tramline and NP windows estimation for enhanced unsupervised retinal vessel segmentation

J. Alison Noble, Niranjan Joshi, Katherine Allen, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Overlap invariance of cumulative residual entropy measures for multimodal image alignment

Nathan D. Cahill, David J. Hawkes, J. Alison Noble, 2009, Medical Imaging.

Nakagami imaging with small windows

J. Alison Noble, Aymeric Larrue, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

The evaluation of single-view and multi-view fusion 3D echocardiography using image-driven segmentation and tracking

Kashif Rajpoot, J. Alison Noble, Harald Becher, 2011, Medical Image Anal..

Registration of 3D Fetal Brain US and MRI

J. Alison Noble, Julia A. Schnabel, Maria Murgasova, 2012, MICCAI.

Automating 3D Echocardiographic Image Analysis

J. Alison Noble, Miguel Mulet-Parada, Jérôme Declerck, 2000, MICCAI.

On the Choice of Band-Pass Quadrature Filters

Michael Brady, J. Alison Noble, Djamal Boukerroui, 2004, Journal of Mathematical Imaging and Vision.

Surface parameterisation of the utero/placental interface using 3D power doppler ultrasound

J. Alison Noble, Gordon N. Stevenson, Sally L. Collins, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Learning Spatio-Temporal Aggregation for Fetal Heart Analysis in Ultrasound Video

Weilin Huang, J. Alison Noble, Arijit Patra, 2017, DLMIA/ML-CDS@MICCAI.

Ultrasound Image Segmentation of the Fetal Abdomen: a Semi-Supervised Patch-Based Approach

Xavier Bresson, Meritxell Bach Cuadra, Sergiu Nedevschi, 2012, MICCAI 2012.

Going Deeper into Cardiac Motion Analysis to Model Fine Spatio-Temporal Features

Daniel Rueckert, Chen Qin, Wenjia Bai, 2020, MIUA.

Segmentation of Cerebral Vessels and Aneurysms from MR Angiography Data

J. Alison Noble, Dale L. Wilson, D. L. Wilson, 1997, IPMI.

A framework for analysis of linear ultrasound videos to detect fetal presentation and heartbeat

J. Alison Noble, Aris Papageorghiou, Raffaele Napolitano, 2017, Medical Image Anal..

Image-based simulation of brain arteriovenous malformation hemodynamics

Yiannis Ventikos, J. Alison Noble, Paul E. Summers, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

The elastic reconstruction of soft tissues

Lianghao Han, J. Alison Noble, Michael Burcher, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

An adaptive segmentation algorithm for time-of-flight MRA data

J. Alison Noble, Dale L. Wilson, D. L. Wilson, 1999, IEEE Transactions on Medical Imaging.

A Malignant Breast Carcinoma Size Assessment Using Multiple Orientation Axial, Lateral, and Shear Elastographies: The Second Stage of a Pilot Study

Michael Brady, J. Alison Noble, Ruth E. English, 2010, MIAR.

Delineating anatomical boundaries using the boundary fragment model

J. Alison Noble, Richard V. Stebbing, J. Noble, 2013, Medical Image Anal..

Self-Supervised Representation Learning for Ultrasound Video

J. Alison Noble, Jianbo Jiao, Lior Drukker, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Eye Tracking to Boost Recognition of Anatomical Features in Fetal Ultrasound

J. Alison Noble, Maryam Ahmed, 2015, MIUA.

A Constrained Regression Forests Solution to 3D Fetal Ultrasound Plane Localization for Longitudinal Analysis of Brain Growth and Maturation

J. Alison Noble, Mohammad Yaqub, Sylvia Rueda, 2014, MLMI.

Local Phase-Based Fuzzy Connectedness Segmentation of Ultrasound Images

J. Alison Noble, Sylvia Rueda, Caroline L. Knight, 2011, MIUA.

Vasculature segmentation of CT liver images using graph cuts and graph-based analysis

J. Alison Noble, Hanno Homann, Grace Vesom, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Volumetric Segmentation of Key Fetal Brain Structures in 3D Ultrasound

J. Alison Noble, Mohammad Yaqub, Rémi Cuingnet, 2013, MLMI.

Finding half boundaries and junctions in images

J. Alison Noble, J. Noble, 1992, Image Vis. Comput..

Medical Image Understanding and Analysis

Graeme P. Penney, John H. Hipwell, J. Alison Noble, 2001 .

Learning to Count Cells: Applications to lens-free imaging of large fields

Andrew Zisserman, J. Alison Noble, Victor Lempitsky, 2011 .

Where is my baby? A fast fetal head auto-alignment in 3D-ultrasound

J. Alison Noble, Oudom Somphone, Raphael Prevost, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Automated segmentation and alignment of mitotic nuclei for kymograph visualisation

J. Alison Noble, Simon Li, James Wakefield, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Oriented feature-based coupled ellipse fitting for soft tissue quantification in ultrasound images

J. Alison Noble, Sylvia Rueda, Caroline L. Knight, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Robust Regression of Brain Maturation from 3D Fetal Neurosonography Using CRNs

J. Alison Noble, Weidi Xie, Ana I. L. Namburete, 2017, FIFI/OMIA@MICCAI.

3D Fusion Echocardiography Improves Transoeosphageal LV Assessment

Kashif Rajpoot, J. Alison Noble, Harald Becher, 2011, FIMH.

Describing ultrasound video content using deep convolutional neural networks

J. Alison Noble, Y. Gao, Mohammad Ali Maraci, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Contrast enhancement and segmentation of ultrasound images: a statistical method

Michael Brady, J. Alison Noble, Yongyue Zhang, 2000, Medical Imaging: Image Processing.

Volume Reconstruction from Sparse 3D Ultrasonography

J. Alison Noble, Mark J. Gooding, Stephen Kennedy, 2003, MICCAI.

Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound

J. Alison Noble, Lior Drukker, Aris T. Papageorghiou, 2020, MICCAI.

CAD-based inspection using X-ray stereo

Rajiv Gupta, Joseph L. Mundy, J. Alison Noble, 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

Automated Myocardial Wall Motion Classification using Handcrafted Features vs a Deep CNN-based mapping

J. Alison Noble, Paul Leeson, Arijit Patra, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A novel local-phase method of automatic atlas construction in fetal ultrasound

J. Alison Noble, Sylvia Rueda, Sana Fathima, 2011, Medical Imaging.

Improving the Contrast of Breast Cancer Masses in Ultrasound Using an Autoregressive Model Based Filter

J. Alison Noble, Etienne von Lavante, E. V. Lavante, 2007, MICCAI.

Multi-task SonoEyeNet: Detection of Fetal Standardized Planes Assisted by Generated Sonographer Attention Maps

J. Alison Noble, Pierre Chatelain, Yifan Cai, 2018, MICCAI.

Feature extraction and wall motion classification of 2D stress echocardiography with relevance vector machines

David A. Clifton, J. Alison Noble, Kiryl Chykeyuk, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis: First International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings

J. Alison Noble, Roxane Licandro, J. Noble, 2020, ASMUS/PIPPI@MICCAI.

UPI-Net: Semantic Contour Detection in Placental Ultrasound

J. Alison Noble, Huan Qi, Sally Collins, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Can Dilated Convolutions Capture Ultrasound Video Dynamics?

J. Alison Noble, Weidi Xie, Mohammad Ali Maraci, 2018, MLMI@MICCAI.

{\Omega}-Net (Omega-Net): Fully Automatic, Multi-View Cardiac MR Detection, Orientation, and Segmentation with Deep Neural Networks.

J. Alison Noble, Weidi Xie, David A. Bluemke, 2017 .

Omni-Supervised Learning: Scaling Up to Large Unlabelled Medical Datasets

J. Alison Noble, Ruobing Huang, Ana I. L. Namburete, 2018, MICCAI.

Improving the Classification Accuracy of the Classic RF Method by Intelligent Feature Selection and Weighted Voting of Trees with Application to Medical Image Segmentation

J. Alison Noble, Mohammad Yaqub, M. Kassim Javaid, 2011, MLMI.

Local-phase based 3D boundary detection using monogenic signal and its application to real-time 3-D echocardiography images

Kashif Rajpoot, J. Alison Noble, Vicente Grau, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Novel Context Rich LoCo and GloCo Features with Local and Global Shape Constraints for Segmentation of 3D Echocardiograms with Random Forests

J. Alison Noble, Kiryl Chykeyuk, Mohammad Yaqub, 2012, MCV.

Non-invasive Measurement of Biomechanical Properties of in vivo Soft Tissues

J. Alison Noble, Michael Burcher, Lianghao Han, 2002, MICCAI.

Guided Random Forests for Identification of Key Fetal Anatomy and Image Categorization in Ultrasound Scans

J. Alison Noble, Mohammad Yaqub, Aris Papageorghiou, 2015, MICCAI.

Fully‐automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi‐task learning

Andrew Zisserman, J. Alison Noble, Mohammad Yaqub, 2018, Medical Image Anal..

Automated annotation and quantitative description of ultrasound videos of the fetal heart

J. Alison Noble, Christopher P. Bridge, Christos Ioannou, 2017, Medical Image Anal..

Robust contour tracking in echocardiographic sequences

Andrew Blake, J. Alison Noble, Gary Jacob, 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

Diagnostic Plane Extraction from 3D Parametric Surface of the Fetal Cranium

J. Alison Noble, Richard V. Stebbing, Ana I. L. Namburete, 2014, MIUA.

Detecting overlapping instances in microscopy images using extremal region trees

Andrew Zisserman, J. Alison Noble, Carlos Arteta, 2016, Medical Image Anal..

Registration of 3D fetal neurosonography and MRI☆

Mary A. Rutherford, Joseph V. Hajnal, J. Alison Noble, 2013, Medical Image Anal..

Self-supervised Contrastive Video-Speech Representation Learning for Ultrasound

J. Alison Noble, Jianbo Jiao, Yifan Cai, 2020, MICCAI.

On reconstructing Curved Object Boundaries from Sparse Sets of X-Ray Images

Jean Ponce, J. Alison Noble, Steve Sullivan, 1995, CVRMed.

Three Dimensional Freehand Ultrasound Reconstruction using Hybrid Interpolation

Paul Monk, David W. Murray, J. Alison Noble, 2015, MIUA.

Phase-Based Registration of Multi-view Real-Time Three-Dimensional Echocardiographic Sequences

J. Alison Noble, Harald Becher, Vicente Grau, 2006, MICCAI.

Motion-guided anisotropic filtering of ultrasound sequences

J. Alison Noble, Vicente Grau, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Determining X-ray projections for coil treatments of intracranial aneurysms

J. Alison Noble, Dale L. Wilson, James V. Byrne, 1999, IEEE Transactions on Medical Imaging.

A shape-space-based approach to tracking myocardial borders and quantifying regional left-ventricular function applied in echocardiography

J. Alison Noble, Gary Jacob, Christian P. Behrenbruch, 2002, IEEE Transactions on Medical Imaging.

A Demons Algorithm for Image Registration with Locally Adaptive Regularization

Nathan D. Cahill, David J. Hawkes, J. Alison Noble, 2009, MICCAI.

Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis

J. Alison Noble, Jianbo Jiao, Aris T. Papageorghiou, 2020, IEEE Transactions on Medical Imaging.

Integration of Local and Global Features for Anatomical Object Detection in Ultrasound

J. Alison Noble, Aris Papageorghiou, Bahbibi Rahmatullah, 2012, MICCAI.

Finding Corners

J. Alison Noble, J. Noble, J. Noble, 1988, Alvey Vision Conference.

Quantification of cardiac bull's-eye map based on principal strain analysis for myocardial wall motion assessment in stress echocardiography

J. Alison Noble, Paul Leeson, Arijit Patra, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Regularised feature-based fuzzy connectedness segmentation of ultrasound images for fetal soft tissue quantification across gestation

J. Alison Noble, Sylvia Rueda, Caroline L. Knight, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Microscopy cell counting and detection with fully convolutional regression networks

Andrew Zisserman, J. Alison Noble, Weidi Xie, 2018, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Unified Image and Video Saliency Modeling pdf

J. Alison Noble, Jianbo Jiao, Richard Droste, 2020, ECCV.

Segmentation of 2D stress echocardiography sequences using rest-based patient-specific prior information

J. Alison Noble, Adeala T. Zabair, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Automated characterization of the fetal heart in ultrasound images using fully convolutional neural networks

Vaanathi Sundaresan, J. Alison Noble, Christopher P. Bridge, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Searching for Structures of Interest in an Ultrasound Video Sequence

J. Alison Noble, Aris Papageorghiou, Raffaele Napolitano, 2014, MLMI.

Improving Visual Detection of Wall Motion Abnormality with Echocardiographic Image Enhancing Methods

J. Alison Noble, Paul Leeson, Arijit Patra, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

High resolution segmentation of MR images of mouse heart chambers based on a partial-pixel effect and EM algorithm

J. Alison Noble, Xujiong Ye, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Discrete Wavelet Diffusion for Image Denoising

Kashif Rajpoot, Nasir M. Rajpoot, J. Alison Noble, 2008, ICISP.

Lesion segmentation and bias correction in breast ultrasound B-mode images including elastography information

Robert Marti, J. Alison Noble, Mariano Cabezas, 2012, Medical Imaging.

Omega-Net: Fully Automatic, Multi-View Cardiac MR Detection, Orientation, and Segmentation with Deep Neural Networks pdf

J. Alison Noble, Weidi Xie, David A. Bluemke, 2017, ArXiv.

Segmentation of ultrasound images--multiresolution 2D and 3D algorithm based on global and local statistics

Olivier Basset, Atilla Baskurt, J. Alison Noble, 2003, Pattern Recognit. Lett..

Towards Capturing Sonographic Experience: Cognition-Inspired Ultrasound Video Saliency Prediction

J. Alison Noble, Yifan Cai, Harshita Sharma, 2019, MIUA.

Automatically Finding Optimal Working Projections for the Endovascular Coiling of Intracranial Aneurysms

J. Alison Noble, Dale L. Wilson, D. L. Wilson, 1998, MICCAI.

Towards quantifying the impact of cell boundary estimation on morphometric analysis for phenotypic screening

Jens Rittscher, J. Alison Noble, Thomas A. Nketia, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

An eye-tracking inspired method for standardised plane extraction from fetal abdominal ultrasound volumes

J. Alison Noble, Maryam Ahmed, J. Noble, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks

Dean C. Barratt, J. Alison Noble, Yipeng Hu, 2017, MICCAI.

Fusing Speed and Phase Information for Vascular Segmentation in Phase Contrast MR Angiograms

J. Alison Noble, Albert C. S. Chung, Paul E. Summers, 2000, MICCAI.

Fetal cranial segmentation in 2D ultrasound images using shape properties of pixel clusters

J. Alison Noble, Ana I. L. Namburete, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Estimating Asymmetric Noise

Michael Brady, J. Alison Noble, 1989, Alvey Vision Conference.

Segmentation of breast cancer masses in ultrasound using radio-frequency signal derived parameters and strain estimates

J. Alison Noble, Etienne von Lavante, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Quantitative Measurement of Manufactured Diamond Shape

J. Alison Noble, Richard I. Hartley, Jane Liu, 1994, ECCV.

Detection and Characterization of the Fetal Heartbeat in Free-hand Ultrasound Sweeps with Weakly-supervised Two-streams Convolutional Networks

Yuan Gao, J. Alison Noble, J. Noble, 2017, MICCAI.

Evaluating a robust contour tracker on echocardiographic sequences

Andrew Blake, J. Alison Noble, Miguel Mulet-Parada, 1999, Medical Image Anal..

Adaptive Non-rigid Registration of Real Time 3D Ultrasound to Cardiovascular MR Images

Michael Brady, J. Alison Noble, Weiwei Zhang, 2007, IPMI.

Localizing Cardiac Structures in Fetal Heart Ultrasound Video

J. Alison Noble, Christopher P. Bridge, Christos Ioannou, 2017, MLMI@MICCAI.

Object localisation in fetal ultrasound images using invariant features

J. Alison Noble, Christopher P. Bridge, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Calibrated Bayesian Neural Networks to Estimate Gestational Age and Its Uncertainty on Fetal Brain Ultrasound Images

J. Alison Noble, Lok Hin Lee, Aris Papageorghiou, 2020, ASMUS/PIPPI@MICCAI.

Cross-Device Cross-Anatomy Adaptation Network for Ultrasound Video Analysis

Yang Liu, J. Alison Noble, Yipeng Hu, 2020, ASMUS/PIPPI@MICCAI.

Incremental Learning of Fetal Heart Anatomies Using Interpretable Saliency Maps

J. Alison Noble, Arijit Patra, J. Noble, 2019, MIUA.

Morphological Feature Detection

J. Alison Noble, J. Noble, 1988, [1988 Proceedings] Second International Conference on Computer Vision.

Feature-based fuzzy connectedness segmentation of ultrasound images with an object completion step

J. Alison Noble, Sylvia Rueda, Caroline L. Knight, 2015, Medical Image Anal..

Automated 3-D echocardiography analysis compared with manual delineations and SPECT MUGA

J. Alison Noble, Jérôme Declerck, Gerardo I. Sanchez-Ortiz, 2002, IEEE Transactions on Medical Imaging.

Ultrasound image segmentation using feature asymmetry and shape guided live wire

J. Alison Noble, Sylvia Rueda, Caroline L. Knight, 2013, Medical Imaging.

Interactive Object Counting

Andrew Zisserman, J. Alison Noble, Carlos Arteta, 2014, ECCV.

Anatomical Object Detection in Fetal Ultrasound: Computer-Expert Agreements

J. Alison Noble, Bahbibi Rahmatullah, J. Noble, 2013 .

Estimating a parametric model of temperature distribution from an ultrasound image sequence during HIFU therapy

Penny Probert Smith, J. Alison Noble, Guoliang Ye, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Automatic Planning of the Acquisition of Cardiac MR Images

Matthew D. Robson, J. Alison Noble, Clare Jackson, 2003, MICCAI.

FAST FLUID REGISTRATION WITH DIRICHLET BOUNDARY CONDITIONS: A TRANSFORM-BASED APPROACH

Nathan D. Cahill, David J. Hawkes, Lawrence A. Ray, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Combining apical and parasternal views to improve motion estimation in real-time 3D echocardiographic sequences

J. Alison Noble, Harald Becher, Vicente Grau, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Spatio-temporal Registration of Real Time 3D Ultrasound to Cardiovascular MR Sequences

Michael Brady, J. Alison Noble, Weiwei Zhang, 2007, MICCAI.

Special issue on machine learning in medical imaging

Li Wang, Yinghuan Shi, Ghassan Hamarneh, 2019, Comput. Medical Imaging Graph..

Learning to Detect Cells Using Non-overlapping Extremal Regions

Andrew Zisserman, J. Alison Noble, Carlos Arteta, 2012, MICCAI.

Vascular segmentation of phase contrast magnetic resonance angiograms based on statistical mixture modeling and local phase coherence

J. Alison Noble, Albert C. S. Chung, Paul E. Summers, 2004, IEEE Transactions on Medical Imaging.

Demons algorithms for fluid and curvature registration

Nathan D. Cahill, David J. Hawkes, J. Alison Noble, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

SiSSR: Simultaneous subdivision surface registration for the quantification of cardiac function from computed tomography in canines

J. Alison Noble, Amir Pourmorteza, David A. Bluemke, 2018, Medical Image Anal..

Quantification of ultrasonic texture intra-heterogeneity via volumetric stochastic modeling for tissue characterization

J. Alison Noble, Omar S. Al-Kadi, Daniel Y. F. Chung, 2015, Medical Image Anal..

The Effect of Morphological Filters on Texture Boundary Localization

J. Alison Noble, 1996, IEEE Trans. Pattern Anal. Mach. Intell..

3-D freehand echocardiography for automatic left ventricle reconstruction and analysis based on multiple acoustic windows

J. Alison Noble, Xujiong Ye, Jérôme Declerck, 2002, IEEE Transactions on Medical Imaging.

Predicting Fetal Neurodevelopmental Age from Ultrasound Images

J. Alison Noble, Mohammad Yaqub, Aris Papageorghiou, 2014, MICCAI.

Investigating the intrinsic dimensionality of FMRI data for ICA

Stephen M. Smith, J. Alison Noble, Christian F. Beckmann, 2001, NeuroImage.

3D Freehand Echocardiography for Automatic Left Ventricle Reconstruction and Analysis based on Multiple Acoustic Windows

David Atkinson, J. Alison Noble, Xujiong Ye, 2002, IEEE Trans. Medical Imaging.

Spatiotemporal Bayesian cell population tracking and analysis with lineage construction

J. Alison Noble, James Wakefield, Luke M. A. Beaumont, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Registration of Multiview Real-Time 3-D Echocardiographic Sequences

J. Alison Noble, Harald Becher, Vicente Grau, 2007, IEEE Transactions on Medical Imaging.

Label-driven weakly-supervised learning for multimodal deformarle image registration

Marc Modat, Dean C. Barratt, J. Alison Noble, 2017, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Spatio-temporal accuracy of ICA for FMRI

Stephen M. Smith, J. Alison Noble, Christian F. Beckmann, 2001, NeuroImage.

Fourier Methods for Nonparametric Image Registration

Nathan D. Cahill, David J. Hawkes, J. Alison Noble, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Fetal Ultrasound Image Classification Using a Bag-of-words Model Trained on Sonographers' Eye Movements

J. Alison Noble, Maryam Ahmed, 2016, MIUA.

Plane Localization in 3-D Fetal Neurosonography for Longitudinal Analysis of the Developing Brain

J. Alison Noble, Mohammad Yaqub, Sylvia Rueda, 2016, IEEE Journal of Biomedical and Health Informatics.

Efficient Ultrasound Image Analysis Models with Sonographer Gaze Assisted Distillation

J. Alison Noble, Aris Papageorghiou, Arijit Patra, 2019, MICCAI.

High precision x-ray stereo for automated 3-D CAD-based inspection

J. Alison Noble, Rajiv Gupta, Joseph L. Mundy, 1999 .

A quick 3D-2D registration method for a wide-range of applications

Nobuyuki Kita, J. Alison Noble, Yasuyo Kita, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Elastic modulus imaging using optical flow and image registration

Robert Marti, J. Alison Noble, R. Martí, 2010, 2010 IEEE International Conference on Image Processing.

A study of pressure-dependent attenuation in ultrasound contrast imaging

J. Alison Noble, Robert J. Eckersley, Meng-Xing Tang, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Reflections on ultrasound image analysis

J. Alison Noble, 2016, Medical Image Anal..

Learning-based prediction of gestational age from ultrasound images of the fetal brain

J. Alison Noble, Mohammad Yaqub, Aris Papageorghiou, 2015, Medical Image Anal..

Learning to Detect Partially Overlapping Instances

Andrew Zisserman, J. Alison Noble, Carlos Arteta, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Estimating cerebral blood flow from a rotational angiographic system

J. Alison Noble, Abhisara A. Appaji, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Segmentation of ultrasound B-mode images with intensity inhomogeneity correction

Michael Brady, J. Alison Noble, Yongyue Zhang, 2002, IEEE Transactions on Medical Imaging.

Medical image analysis: Foreword

Christopher J. Taylor, J. Alison Noble, Christopher J. Taylor, 1999, Medical Image Anal..

Special Section: Selection of Papers From IPMI 2003

Christopher J. Taylor, J. Alison Noble, 2004, IEEE Trans. Medical Imaging.

Random Forest Classification for Automatic Delineation of Myocardium in Real-Time 3D Echocardiography

Andrew Blake, J. Alison Noble, Victor S. Lempitsky, 2009, FIMH.

MAP MRF joint segmentation and registration of medical images

J. Alison Noble, Paul P. Wyatt, J. Noble, 2003, Medical Image Anal..

Image Analysis Using Machine Learning: Anatomical Landmarks Detection in Fetal Ultrasound Images

J. Alison Noble, Aris Papageorghiou, Bahbibi Rahmatullah, 2012, 2012 IEEE 36th Annual Computer Software and Applications Conference.

Automatic detection of local fetal brain structures in ultrasound images

J. Alison Noble, Mohammad Yaqub, Aris Papageorghiou, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Globally Optimal Registration for Describing Joint Kinematics

Paul Monk, David W. Murray, J. Alison Noble, 2016, MIUA.

2D+T acoustic boundary detection in echocardiography

J. Alison Noble, Miguel Mulet-Parada, 2000, Medical Image Anal..

Knowledge-Guided Pretext Learning for Utero-Placental Interface Detection

J. Alison Noble, Sally L. Collins, Huan Qi, 2020, MICCAI.

Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention

J. Alison Noble, Aris Papageorghiou, Pierre Chatelain, 2019, IPMI.

SonoEyeNet: Standardized fetal ultrasound plane detection informed by eye tracking

J. Alison Noble, Pierre Chatelain, Yifan Cai, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Medical Image Processing

J. Alison Noble, J. Noble, 1999 .

Intensity-based 2-D - 3-D registration of cerebral angiograms

Kawal S. Rhode, David J. Hawkes, Graeme P. Penney, 2003, IEEE Transactions on Medical Imaging.

Investigating implicit shape representations for alignment of livers from serial CT examinations

Nathan D. Cahill, Michael Brady, Lena Gorelick, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A Comparison of 2D-3D Intensity-Based Registration and Feature-Based Registration for Neurointerventions

David J. Hawkes, John H. Hipwell, Robert A. McLaughlin, 2002, MICCAI.

Uncertainty Estimates as Data Selection Criteria to Boost Omni-Supervised Learning

J. Alison Noble, Ana I. L. Namburete, Aris Papageorghiou, 2020, MICCAI.

Label Efficient Localization of Fetal Brain Biometry Planes in Ultrasound Through Metric Learning

J. Alison Noble, Yuan Gao, Aris Papageorghiou, 2020, ASMUS/PIPPI@MICCAI.

Multiview RT3D Echocardiography Image Fusion

Kashif Rajpoot, J. Alison Noble, Harald Becher, 2009, FIMH.

Learning and Understanding Deep Spatio-Temporal Representations from Free-Hand Fetal Ultrasound Sweeps

Yuan Gao, J. Alison Noble, J. Noble, 2019, MICCAI.

Feature Tracking Cardiac Magnetic Resonance via Deep Learning and Spline Optimization pdf

J. Alison Noble, Weidi Xie, David A. Bluemke, 2017, FIMH.

Nakagami-Based AdaBoost Learning Framework for Detection of Anatomical Landmarks in 2D Fetal Neurosonograms

J. Alison Noble, Bahbibi Rahmatullah, Ana I. L. Namburete, 2013 .

Automatic Lacunae Localization in Placental Ultrasound Images via Layer Aggregation

J. Alison Noble, Huan Qi, Sally L. Collins, 2018, MICCAI.

Revisiting overlap invariance in medical image alignment

Nathan D. Cahill, David J. Hawkes, J. Alison Noble, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Adversarial Deformation Regularization for Training Image Registration Neural Networks

Dean C. Barratt, J. Alison Noble, Nooshin Ghavami, 2018, MICCAI.

Ultrasound Viscoelastic Imaging of Breast Lesions: A Practical Hybrid Freehand Technique for Data Acquisition

J. Alison Noble, Ruth English, Andrew Di Battista, 2011 .

Non-rigid registration in 3D free-hand ultrasound imaging of the breast

Michael Brady, J. Alison Noble, Michael Burcher, 2001, Computer Assisted Radiology and Surgery - International Congress and Exhibition.

Demarcation of Aneurysms Using the Seed and Cull Algorithm

Robert A. McLaughlin, J. Alison Noble, 2002, MICCAI.

Feature extraction and wall motion classification of 2D stress echocardiography with support vector machines

David A. Clifton, J. Alison Noble, Kiryl Chykeyuk, 2011, Medical Imaging.

Probabilistic sensor network design

Jeroen H. M. Bergmann, J. Alison Noble, Mark Thompson, 2016, 2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN).

Wall Motion Classification of Stress Echocardiography Based on Combined Rest-and-Stress Data

J. Alison Noble, Sarina Mansor, Nicholas P. Hughes, 2008, MICCAI.

From inspection to process understanding and monitoring: a view on computer vision in manufacturing

J. Alison Noble, J. Noble, 1995, Image Vis. Comput..

Quality control of fetal ultrasound images: Detection of abdomen anatomical landmarks using AdaBoost

J. Alison Noble, Aris Papageorghiou, Bahbibi Rahmatullah, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Images as functions and sets

J. Alison Noble, J. Noble, J Alison Noble, 1992, Image Vis. Comput..

Statistical 3D Vessel Segmentation Using a Rician Distribution

J. Alison Noble, Albert C. S. Chung, 1999, MICCAI.

Automated 3D Ultrasound Biometry Planes Extraction for First Trimester Fetal Assessment

J. Alison Noble, Mohammad Yaqub, Aris Papageorghiou, 2016, MLMI@MICCAI.

Automated Mid-sagittal Plane Selection for Corpus Callosum Visualization in 3D Ultrasound Images

J. Alison Noble, Mohammad Yaqub, Ruobing Huang, 2015, MIUA.

Image-Driven Cardiac Left Ventricle Segmentation for the Evaluation of Multiview Fused Real-Time 3-Dimensional Echocardiography Images

Kashif Rajpoot, J. Alison Noble, Harald Becher, 2009, MICCAI.

2D+T Acoustic Boundary Detection in Echocardiography

J. Alison Noble, Miguel Mulet-Parada, J. Noble, 1998, MICCAI.

Ultrasound image segmentation: a survey

J. Alison Noble, Djamal Boukerroui, D. Boukerroui, 2006, IEEE Transactions on Medical Imaging.

Automatic bone segmentation in ultrasound images using local phase features and dynamic programming

Paul Monk, David W. Murray, J. Alison Noble, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Object Classification in an Ultrasound Video Using LP-SIFT Features

J. Alison Noble, Aris Papageorghiou, Raffaele Napolitano, 2014, MCV.

Improved Nakagami imaging usinga combined estimator

J. Alison Noble, Aymeric Larrue, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Fisher vector encoding for detecting objects of interest in ultrasound videos

J. Alison Noble, Aris Papageorghiou, Raffaele Napolitano, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

&OHgr;‐Net (Omega‐Net): Fully automatic, multi‐view cardiac MR detection, orientation, and segmentation with deep neural networks☆

J. Alison Noble, Weidi Xie, David A. Bluemke, 2018, Medical Image Anal..

Probabilistic Models for Shapes as Continuous Curves

Michael Brady, J. Alison Noble, Jeong-Gyoo Kim, 2008, Journal of Mathematical Imaging and Vision.

Modified Hough transform for left ventricle myocardium segmentation in 3-D echocardiogram images

J. Alison Noble, Richard V. Stebbing, John McManigle, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Multi-task CNN for Structural Semantic Segmentation in 3D Fetal Brain Ultrasound

J. Alison Noble, Aris Papageorghiou, Ana I. L. Namburete, 2019, MIUA.

Feature Enhancement in Low Quality Images with Application to Echocardiography

Michael Brady, J. Alison Noble, Djamal Boukerroui, 2001, IPMI.

Greater trochanter tracking in ultrasound imaging during gait

Paul Monk, David W. Murray, J. Alison Noble, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Towards 3D registration of fetal brain MRI and ultrasound

Joseph V. Hajnal, J. Alison Noble, Julia A. Schnabel, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Extending the quadratic taxonomy of regularizers for nonparametric registration

Nathan D. Cahill, David J. Hawkes, J. Alison Noble, 2010, Medical Imaging.

Structured Random Forests for Myocardium Delineation in 3D Echocardiography

J. Alison Noble, Richard V. Stebbing, Paul Leeson, 2014, MLMI.

Image analysis of the human fetus and newborn — Developing new clinical tools for perinatal care

J. Alison Noble, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

A Spatio-temporal Analysis of Contrast Ultrasound Image Sequences for Assessment of Tissue Perfusion

J. Alison Noble, Quentin R. Williams, 2004, MICCAI.

On Computing Aspect Graphs of Smooth Shapes from Volumetric Data

Jean Ponce, J. Alison Noble, Dale L. Wilson, 1997, Comput. Vis. Image Underst..

Segmentation of Echocardiographic Data. Multiresolution 2D and 3D Algorithm Based on Grey Level Statistics

Olivier Basset, Atilla Baskurt, J. Alison Noble, 1999, MICCAI.

Local Phase-Based Fast Ray Features for Automatic Left Ventricle Apical View Detection in 3D Echocardiography

J. Alison Noble, Paul Leeson, João S. Domingos, 2013, MCV.

A Novel Explicit 2D+t Cyclic Shape Model Applied to Echocardiography

J. Alison Noble, Ramón Casero, J. Noble, 2008, MICCAI.

Utilizing Phase Retardation Features for Segmenting Cells in Phase Contrast Microscopy Images

Jens Rittscher, J. Alison Noble, Thomas A. Nketia, 2014, MIUA.

X-ray metrology for quality assurance

Joseph L. Mundy, J. Alison Noble, J. Farley, 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.

Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video

Andrew Zisserman, Weilin Huang, J. Alison Noble, 2017, MICCAI.

Learning Optical Flow Propagation Strategies Using Random Forests for Fast Segmentation in Dynamic 2D & 3D Echocardiography

J. Alison Noble, Mohammad Yaqub, John McManigle, 2011, MLMI.

Towards Treatment Planning for the Embolization of Arteriovenous Malformations of the Brain: Intranidal Hemodynamics Modeling

Yiannis Ventikos, J. Alison Noble, Paul E. Summers, 2011, IEEE Transactions on Biomedical Engineering.

Model-based ultrasound temperature visualization during and following HIFU exposure.

J. Alison Noble, Guoliang Ye, Penny Probert Smith, 2010, Ultrasound in medicine & biology.

A comparison of a similarity-based and a feature-based 2-D-3-D registration method for neurointerventional use

David J. Hawkes, John H. Hipwell, Robert A. McLaughlin, 2005, IEEE Transactions on Medical Imaging.

Accounting for changing overlap in variational image registration

Nathan D. Cahill, David J. Hawkes, J. Alison Noble, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Local wall motion classification of stress echocardiography using a Hidden Markov Model approach

J. Alison Noble, Sarina Mansor, J. Noble, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Fusing speed and phase information for vascular segmentation of phase contrast MR angiograms

J. Alison Noble, Albert C. S. Chung, Paul E. Summers, 2002, Medical Image Anal..

Data-driven shape parameterization for segmentation of the right ventricle from 3D+t echocardiography

J. Alison Noble, Richard V. Stebbing, Paul Leeson, 2015, Medical Image Anal..

Exhaustive detection of manufacturing flaws as abnormalities

Joseph L. Mundy, J. Alison Noble, Van-Duc Nguyen, 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

A Curriculum Learning Based Approach to Captioning Ultrasound Images

J. Alison Noble, Lior Drukker, Mohammad Alsharid, 2020, ASMUS/PIPPI@MICCAI.

Differentiating Operator Skill During Routine Fetal Ultrasound Scanning Using Probe Motion Tracking

J. Alison Noble, Jianbo Jiao, Lior Drukker, 2020, ASMUS/PIPPI@MICCAI.

Contrastive Algorithmic Fairness: Part 1 (Theory) pdf

J. Alison Noble, Arijit Patra, Tapabrata Chakraborti, 2019, ArXiv.

Weakly Supervised Learning of Placental Ultrasound Images with Residual Networks

J. Alison Noble, Huan Qi, Sally L. Collins, 2017, MIUA.

Cardiology Meets Image Analysis: Just an Application or Can Image Analysis Usefully Impact Cardiology Practice?

J. Alison Noble, J. Noble, 2005, CVBIA.

Captioning Ultrasound Images Automatically

J. Alison Noble, Aris Papageorghiou, Lior Drukker, 2019, MICCAI.

Controlled motion strain measurement using lateral speckle tracking in Achilles tendons during healing

J. Alison Noble, Phillip Brown, Mark Thompson, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Camera calibration for 2.5-D X-ray metrology

Rajiv Gupta, Joseph L. Mundy, J. Alison Noble, 1995, Proceedings., International Conference on Image Processing.

Cross-Task Representation Learning for Anatomical Landmark Detection pdf

J. Alison Noble, Jianbo Jiao, Zeyu Fu, 2020, MLMI@MICCAI.

Toward template-based tolerancing from a Bayesian viewpoint

J. Alison Noble, Joe L. Mundy, J. Mundy, 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

Discovering Salient Anatomical Landmarks by Predicting Human Gaze

J. Alison Noble, Harshita Sharma, Lior Drukker, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Difference of Gaussians revolved along elliptical paths for ultrasound fetal head segmentation

Alessandro Foi, J. Alison Noble, Jussi Tohka, 2014, Comput. Medical Imaging Graph..

Uncalibrated X-Ray Stereo Reconstruction

Andrew Zisserman, J. Alison Noble, Dan Talmage, 1995, BMVC.

An Automated CNN-based 3D Anatomical Landmark Detection Method to Facilitate Surface-Based 3D Facial Shape Analysis

J. Alison Noble, Ruobing Huang, Michael Suttie, 2019, UNSURE/CLIP@MICCAI.

Interpreting edge information for improved endocardium delineation in echocardiograms

J. Alison Noble, Richard V. Stebbing, John McManigle, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Nonrigid registration of 3-D free-hand ultrasound images of the breast

J. Alison Noble, Michael Burcher, Ruth E. English, 2002, IEEE Transactions on Medical Imaging.

MAP MRF Joint Segmentation and Registration

J. Alison Noble, Paul P. Wyatt, J. Noble, 2002, MICCAI.

Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks pdf

Dean C. Barratt, J. Alison Noble, Yipeng Hu, 2017, CMMI/RAMBO/SWITCH@MICCAI.

A fast and robust 3D ultrasound strain imaging algorithm for freehand scanning

J. Alison Noble, Andrew Di Battista, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Automated Selection of Standardized Planes from Ultrasound Volume

J. Alison Noble, Aris Papageorghiou, Bahbibi Rahmatullah, 2011, MLMI.

Velocity Estimation in Ultrasound Images: A Block Matching Approach

Michael Brady, J. Alison Noble, Djamal Boukerroui, 2003, IPMI.

High precision X-ray stereo for automated 3D CAD-based inspection

Rajiv Gupta, Joseph L. Mundy, J. Alison Noble, 1998, IEEE Trans. Robotics Autom..

Multicontrast MRI registration of carotid arteries in atherosclerotic and normal subjects

Matthew D. Robson, J. Alison Noble, Luca Biasiolli, 2010, Medical Imaging.

Real time 3-D ultrasound to MR cardiovascular image registration using a phase-based approach

Michael Brady, J. Alison Noble, Weiwei Zhang, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Simultaneous Lesion Segmentation and Bias Correction in Breast Ultrasound Images

Robert Marti, J. Alison Noble, Joan Martí, 2011, IbPRIA.

A computer-aided tracking and motion analysis with ultrasound (CAT & MAUS) system for the description of hip joint kinematics

Paul Monk, David W. Murray, J. Alison Noble, 2016, International Journal of Computer Assisted Radiology and Surgery.

Weakly-supervised convolutional neural networks for multimodal image registration

Sébastien Ourselin, Marc Modat, Dean C. Barratt, 2018, Medical Image Anal..

Morphological Feature Detection

J. Alison Noble, 1988, Alvey Vision Conference.

A Course-Focused Dual Curriculum For Image Captioning

J. Alison Noble, Aris Papageorghiou, Lior Drukker, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Principled Ultrasound Data Augmentation for Classification of Standard Planes

J. Alison Noble, Lok Hin Lee, Yuan Gao, 2021, IPMI.

Adaptable image quality assessment using meta-reinforcement learning of task amenability

Dean C. Barratt, J. Alison Noble, Yipeng Hu, 2021, ASMUS@MICCAI.

Visual-Assisted Probe Movement Guidance for Obstetric Ultrasound Scanning Using Landmark Retrieval

J. Alison Noble, Aris Papageorghiou, Lior Drukker, 2021, MICCAI.

Multiscale Graph Convolutional Networks for Cardiac Motion Analysis

Daniel Rueckert, Wenjia Bai, J. Alison Noble, 2021, FIMH.

First Trimester Gaze Pattern Estimation Using Stochastic Augmentation Policy Search for Single Frame Saliency Prediction

J. Alison Noble, Aris Papageorghiou, Lior Drukker, 2021, MIUA.

Multi-Modal Learning from Video, Eye Tracking, and Pupillometry for Operator Skill Characterization in Clinical Fetal Ultrasound

J. Alison Noble, Aris Papageorghiou, Lior Drukker, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Machine learning-based analysis of operator pupillary response to assess cognitive workload in clinical ultrasound imaging

J. Alison Noble, Aris T. Papageorghiou, Lior Drukker, 2021, Comput. Biol. Medicine.

Multimodal Continual Learning with Sonographer Eye-Tracking in Fetal Ultrasound

J. Alison Noble, Aris Papageorghiou, Arijit Patra, 2021, ASMUS@MICCAI.

Impact of Image Processing Operations on MR Noise Distributions

J. Alison Noble, Albert C. S. Chung, Paul E. Summers, 2000 .

Examining Numerical Solutions of the Discrete Navier-Lamé Equations for Nonrigid Image Registration

Nathan D. Cahill, J. Alison Noble, David John Hawkes, 2006 .

Passive cavitation mapping for monitoring ultrasound therapy

J. Alison Noble, J. Noble, 2010 .

On the Selection of Band-pass Quadrature Filters *

Michael Brady, J. Alison Noble, Djamal Boukerroui, 2006 .