Lewis D. Griffin

发表

Hierarchical Segmentation Satisfying Constraints

Colin Studholme, Alan C. F. Colchester, Lewis D. Griffin, 1994, BMVC.

Statistics and category systems for the shape index descriptor of local 2nd order natural image structure

Lewis D. Griffin, Martin Lillholm, M. Lillholm, 2009, Image Vis. Comput..

Image Features and the 1-D, 2nd Order Gaussian Derivative Jet

Lewis D. Griffin, Martin Lillholm, M. Lillholm, 2005, Scale-Space.

Proceedings of the 4th international conference on Scale space methods in computer vision

Lewis D. Griffin, Martin Lillholm, M. Lillholm, 2003 .

Mode estimation by pessimistic scale space tracking

Lewis D. Griffin, Martin Lillholm, M. Lillholm, 2003 .

Depth perception of stereo overlays in image-guided surgery

Philip J. Edwards, Lewis D. Griffin, David J. Hawkes, 2004, SPIE Medical Imaging.

Detection of concealed cars in complex cargo X-ray imagery using deep learning

Lewis D. Griffin, Nicolas Jaccard, Thomas W. Rogers, 2016, Journal of X-ray science and technology.

Transfer representation-learning for anomaly detection

Lewis D. Griffin, Jerone T. A. Andrews, Thomas Tanay, 2016, ICML 2016.

Zipf's Law in Image Coding Schemes

Lewis D. Griffin, Michael Crosier, M. Crosier, 2007, BMVC.

Structure-sensitive scale and the hierarchical segmentation of gray-level images

David John Hawkes, Glynn P. Robinson, Alan C. F. Colchester, 1992, Other Conferences.

A category system on the shape index descriptor of local image structure induced by natural image statistics

Lewis D. Griffin, Martin Lillholm, M. Lillholm, 2006 .

Symmetry Sensitivities of Derivative-of-Gaussian Filters

Lewis D. Griffin, Martin Lillholm, M. Lillholm, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Psychological Colour Space is Physical Colour Space

Lewis D. Griffin, 2000 .

Model-based recognition of anatomical objects from medical images

Glynn P. Robinson, Alan C. F. Colchester, Lewis D. Griffin, 1994, Image Vis. Comput..

Males are 'noisy females' when it comes to reporting the psychological structure of the basic colours

Lewis D. Griffin, 2002 .

Transferring x-ray based automated threat detection between scanners with different energies and resolution

Matthew Caldwell, Lewis D. Griffin, Thomas W. Rogers, 2017, Security + Defence.

Automated X-ray Image Analysis for Cargo Security: Critical Review and Future Promise

Lewis D. Griffin, Nicolas Jaccard, Thomas W. Rogers, 2016, Journal of X-ray science and technology.

Using Basic Image Features for Texture Classification

Lewis D. Griffin, Michael Crosier, M. Crosier, 2010, International Journal of Computer Vision.

The Atlas Structure of Images

Lewis D. Griffin, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-scale Hierarchical Segmentation

Glynn P. Robinson, Alan C. F. Colchester, Lewis D. Griffin, 1993, BMVC.

Texture classification with a dictionary of basic image features

Lewis D. Griffin, Michael Crosier, M. Crosier, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Multiscale Histogram of Oriented Gradient Descriptors for Robust Character Recognition

Lewis D. Griffin, Andrew J. Newell, A. Newell, 2011, 2011 International Conference on Document Analysis and Recognition.

Multiple-Identity Image Attacks Against Face-based Identity Verification pdf

Lewis D. Griffin, Thomas Tanay, Jerone T. A. Andrews, 2019, ArXiv.

Superficial and deep structure in linear diffusion scale space: isophotes, critical points and separatrices

Alan C. F. Colchester, Lewis D. Griffin, A. Colchester, 1995, Image Vis. Comput..

Threat Image Projection (TIP) into X-ray images of cargo containers for training humans and machines

Lewis D. Griffin, Nicolas Jaccard, Thomas W. Rogers, 2016, 2016 IEEE International Carnahan Conference on Security Technology (ICCST).

Better Image Segmentation by Exploiting Dense Semantic Predictions pdf

Qiyang Zhao, Lewis D. Griffin, Qiyang Zhao, 2016, ArXiv.

Spatial Normalization and Averaging of Diffusion Tensor MRI Data Sets

Derek K. Jones, Daniel C. Alexander, Lewis D. Griffin, 2002, NeuroImage.

Symmetries of 1-D Images

Lewis D. Griffin, 2008, Journal of Mathematical Imaging and Vision.

Scale Space '03 special issue

Lewis D. Griffin, 2005 .

Maximum Likelihood Metameres for Local 2 nd Order Image Structure of Natural Images

Lewis D. Griffin, Martin Lillholm, 2007, SSVM.

Novel image feature alphabets for object recognition

Lewis D. Griffin, Martin Lillholm, 2008, 2008 19th International Conference on Pattern Recognition.

Feature category systems for 2nd order local image structure induced by natural image statistics and otherwise

Lewis D. Griffin, Martin Lillholm, M. Lillholm, 2007, Electronic Imaging.

Basic Image Features (BIFs) Arising from Approximate Symmetry Type

Lewis D. Griffin, Martin Lillholm, Michael Crosier, 2009, SSVM.

Integrated Skeleton and Boundary Shape Representation for Medical Image Interpretation

David J. Hawkes, Glynn P. Robinson, Alan C. F. Colchester, 1992, ECCV.

Zipf's law distribution of local structure in natural images

Lewis D. Griffin, Crosier, 2007 .

Partitive mixing of images: a tool for investigating pictorial perception

Lewis D. Griffin, 1999 .

Transfer Learning from Audio Deep Learning Models for Micro-Doppler Activity Recognition

Kevin Chetty, Lewis D. Griffin, Shelly Vishwakarma, 2020, 2020 IEEE International Radar Conference (RADAR).

Intensity-Based Object Extraction from 3D Medical Images Including a Correction of Partial Volume Errors

Alan C. F. Colchester, Paul E. Summers, Lewis D. Griffin, 1994, BMVC.

Trainable Segmentation of Phase Contrast Microscopy Images Based on Local Basic Image Features Histograms

Lewis D. Griffin, Nicolas Jaccard, Nicolas Szita, 2014, MIUA.

Feature-Based Image Analysis

Mads Nielsen, Lewis D. Griffin, Martin Lillholm, 2003, International Journal of Computer Vision.

Machine Learning Based Localization and Classification with Atomic Magnetometers.

Lewis D. Griffin, Cameron Deans, Luca Marmugi, 2017, Physical review letters.

Scale and segmentation of grey-level images using maximum gradient paths

Glynn P. Robinson, Alan C. F. Colchester, Lewis D. Griffin, 1991, Image and Vision Computing.

Scale Space Methods in Computer Vision

Lewis D. Griffin, Martin Lillholm, M. Lillholm, 2003, Lecture Notes in Computer Science.

The 2nd-order local-image-structure solid

Lewis D. Griffin, 2006 .

Detection of cargo container loads from X-ray images

Lewis D. Griffin, Nicolas Jaccard, Thomas W. Rogers, 2015 .

Symmetries of 2-D Images: Cases without Periodic Translations

Lewis D. Griffin, 2009, Journal of Mathematical Imaging and Vision.

Geometric texton theory: The 1-D, 2nd-order jet

Lewis D. Griffin, 2005 .

Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples pdf

Bennett Kleinberg, Lewis D. Griffin, Pontus Stenetorp, 2020, ArXiv.

Segmentation of phase contrast microscopy images based on multi-scale local Basic Image Features histograms

Lewis D. Griffin, Nicolas Jaccard, Nicolas Szita, 2017, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

A deep learning framework for the automated inspection of complex dual-energy x-ray cargo imagery

Lewis D. Griffin, Nicolas Jaccard, Thomas W. Rogers, 2017, Defense + Security.

Tackling the x-ray cargo inspection challenge using machine learning

Lewis D. Griffin, Nicolas Jaccard, E. J. Morton, 2016, SPIE Defense + Security.

Optimality of the Basic Colours Categories

Lewis D. Griffin, 2004 .

Deduction of feature categories from colour images

Lewis D. Griffin, 2005 .

Multi-local dependencies of gradient directions in natural images

Lewis D. Griffin, Aj Nasrallah, A. Nasrallah, 2006 .

A novel framework for multi-modal intensity-based similarity measures based on internal similarity

David J. Hawkes, Graeme P. Penney, Andrew P. King, 2008, SPIE Medical Imaging.

Model-Based Recognition of Anatomical Objects from Medical Images

Glynn P. Robinson, Alan C. F. Colchester, Lewis D. Griffin, 1993, IPMI.

Synergy in the multi-local statistics of gradient directions in images

Lewis D. Griffin, Alexandre James Nasrallah, A. J. Nasrallah, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

Hierarchical shape representation for use in anatomical object recognition

Glynn P. Robinson, Alan C. F. Colchester, Lewis D. Griffin, 1992, Electronic Imaging.

Critical Point Events in Affine Scale-Space

Lewis D. Griffin, 1997, Gaussian Scale-Space Theory.

Editorial

Lewis D. Griffin, 2005, International Journal of Computer Vision.

Features in Scale Space: Progress on the 2D 2nd Order Jet

Lewis D. Griffin, Elena Tagliati, 2001, Scale-Space.

Proceedings of the Scale Space 2003 conference

Lewis D. Griffin, Martin Lillholm, M. Lillholm, 2003 .

A unified approach to the segmentation of grey-level and dot-pattern images

Alan C. F. Colchester, Lewis D. Griffin, G. P. Robinson, 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. III. Conference C: Image, Speech and Signal Analysis,.

Local image structure, metamerism, norms and natural image statistics

Lewis D. Griffin, 2002 .

Mode Estimation Using Pessimistic Scale Space Tracking

Lewis D. Griffin, Martin Lillholm, M. Lillholm, 2003, Scale-Space.

The Second Order Local-Image-Structure Solid

Lewis D. Griffin, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-local statistics of gradient directions in natural images

Lewis D. Griffin, Aj Nasrallah, A. Nasrallah, 2005 .

Scale Space Methods In Computer Vision, Proceedings

Lewis D. Griffin, Martin Lillholm, M. Lillholm, 2003 .

Characterising a population distribution of diffusion tensors

Derek K. Jones, Daniel C. Alexander, Lewis D. Griffin, 2002 .

Hypotheses for Image Features, Icons and Textons

Lewis D. Griffin, Martin Lillholm, M. Lillholm, 2006, International Journal of Computer Vision.

Camera Model Anonymisation with Augmented cGANs pdf

Yidan Zhang, Lewis D. Griffin, Jerone T. A. Andrews, 2020, ArXiv.

Texture-Based Estimation of Physical Characteristics of Sand Grains

Lewis D. Griffin, Peter A. Bull, Andrew J. Newell, 2010, 2010 International Conference on Digital Image Computing: Techniques and Applications.

Conditional Adversarial Camera Model Anonymization

Lewis D. Griffin, Yidan Zhang, Jerone T. A. Andrews, 2020, ECCV Workshops.

Improved segmentation of meteorite micro-CT images using local histograms

Premkumar Elangovan, Lewis D. Griffin, Dominik C. Hezel, 2012, Comput. Geosci..

Multi-channel Mutual Information Using Scale Space

Derek L. G. Hill, Mark Holden, Lewis D. Griffin, 2004, MICCAI.

“Unexpected Item in the Bagging Area”: Anomaly Detection in X-Ray Security Images

Matthew Caldwell, Lewis D. Griffin, Jerone T. A. Andrews, 2019, IEEE Transactions on Information Forensics and Security.

A New Angle on L2 Regularization pdf

Lewis D. Griffin, Thomas Tanay, 2018, ArXiv.

Machine Learning Based Localization and Classification with Atomic Magnetometers.

Lewis D. Griffin, Cameron Deans, Luca Marmugi, 2017, Physical Review Letters.

Detecting image symmetry using single linear filters

Lewis D. Griffin, 2008 .

Natural Image Character Recognition Using Oriented Basic Image Features

Lewis D. Griffin, Andrew J. Newell, A. Newell, 2011, 2011 International Conference on Digital Image Computing: Techniques and Applications.

A 'portholes' experiment for probing perception of small patches of natural images

Lewis D. Griffin, Y Xie, Y Xie, 2007 .

An absolute interval scale for approximate order of 2D point patterns

Alan Johnston, Lewis D. Griffin, Emmanouil D. Protonotarios, 2014 .

Scale-imprecision space

Lewis D. Griffin, 1997, Image and Vision Computing.

Characterizing Breast Phenotype with a Novel Measure of Fibroglandular Structure

Andy Evans, David J. Hawkes, John H. Hipwell, 2012, Digital Mammography / IWDM.

editorial for special issue on Scale Space '03

Lewis D. Griffin, 2005 .

The Delaunay/Voronoi Selection Graph: A Method for Extracting Shape Information from 2-D Dot-patterns with an Extension to 3-D

Glynn P. Robinson, Alan C. F. Colchester, Lewis D. Griffin, 1992, BMVC.

White's effect as a consequence of reconstruction from a biologically realistic brightness code

Lewis D. Griffin, A Ioannides, Alan Johnston, 2006 .

Automated detection of smuggled high-risk security threats using Deep Learning pdf

Lewis D. Griffin, Nicolas Jaccard, Thomas W. Rogers, 2016, ICDP.

Can a Continuity Heuristic Be Used to Resolve the Inclination Ambiguity of Polarized Light Imaging?

Lewis D. Griffin, Luiza Larsen, Luiza Larsen, 2004, ECCV Workshops CVAMIA and MMBIA.

Automated detection of cars in transmission X-ray images of freight containers

Lewis D. Griffin, Nicolas Jaccard, Thomas W. Rogers, 2014, 2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

Writer identification using oriented Basic Image Features and the Delta encoding

Lewis D. Griffin, Andrew J. Newell, A. Newell, 2014, Pattern Recognit..

Mike J. Chantler, Fraser Halley, Alasdair D. F. Clarke, 2011, BMVC.

Automatic Estimation of Error in Voxel-Based Registration

David J. Hawkes, William R. Crum, Lewis D. Griffin, 2004, MICCAI.

Scale and segmentation of grey-level images using maximum gradient paths

Glynn P. Robinson, Alan C. F. Colchester, Lewis D. Griffin, 1991, Image Vis. Comput..

Natural images have a tendency towards purely 1-D local variation

Lewis D. Griffin, 2006 .

Built-in Vulnerabilities to Imperceptible Adversarial Perturbations pdf

Lewis D. Griffin, Thomas Tanay, Jerone T. A. Andrews, 2018, ArXiv.

Multi-channel mutual information using scale space, in Medical Image Computing and Computer-Assisted Intervention

Mark Holden, Lewis D. Griffin, Dlgh Hill, 2004 .

A Boundary Tilting Persepective on the Phenomenon of Adversarial Examples pdf

Lewis D. Griffin, Thomas Tanay, T. Tanay, 2016, ArXiv.

Histograms of Infinitesimal Neighbourhoods

Lewis D. Griffin, 2001, Scale-Space.

Suppressing the Unusual: towards Robust CNNs using Symmetric Activation Functions pdf

Qiyang Zhao, Lewis D. Griffin, 2016, ArXiv.

Representation-learning for anomaly detection in complex x-ray cargo imagery

Lewis D. Griffin, Nicolas Jaccard, Thomas W. Rogers, 2017, Defense + Security.

Distributional Learning of Appearance

Lewis D. Griffin, Andrew J. Newell, M. Husni Wahab, 2013, PloS one.

Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples

Bennett Kleinberg, Lewis D. Griffin, Pontus Stenetorp, 2020, EACL.

Escaping Stochastic Traps with Aleatoric Mapping Agents pdf

Caswell Barry, Lewis D. Griffin, Augustine N. Mavor-Parker, 2021, ArXiv.

Natural image profiles are most likely to be step edges

Lewis D. Griffin, M. Nielsen, M. Lillholm, 2004, Vision Research.

Mean, median and mode filtering of images

Lewis D. Griffin, 2000, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

The intrinsic geometry of the cerebral cortex.

Lewis D. Griffin, 1994, Journal of theoretical biology.

A 3D fiber model of the human brainstem.

Lewis D. Griffin, D. Gräßel, H. Axer, 2002, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

Polarized light imaging of white matter architecture

Lewis D. Griffin, O. Witte, D. Gräßel, 2007, Microscopy research and technique.

Categorical colour geometry

Lewis D. Griffin, D. Mylonas, Dimitris Mylonas, 2019, PloS one.

Microfabricated Modular Scale-Down Device for Regenerative Medicine Process Development

Lewis D. Griffin, N. Szita, M. Reichen, 2012, PloS one.

Spatial Normalization and Averaging of Diffusion Tensor MRI Data Sets

Derek K. Jones, Lewis D. Griffin, M. Catani, 2002, NeuroImage.

An absolute interval scale of order for point patterns

Lewis D. Griffin, B. Baum, Ginger L Hunter, 2014, Journal of The Royal Society Interface.

A circle-based method for detection of neural fibre cross-sections in classically stained 2D electron micrographs

Lewis D. Griffin, M. Häusser, A. Roth, 2011 .

A spatial frequency spectral peakedness model predicts discrimination performance of regularity in dot patterns

Lewis D. Griffin, M. Landy, E. Protonotarios, 2018, Vision Research.

Difference magnitude is not measured by discrimination steps for order of point patterns.

Lewis D. Griffin, E. Protonotarios, Alan Johnston, 2016, Journal of vision.

Multi-dimensional mutual information image similarity metrics based on derivatives of linear scale-space

Mark Holden, Lewis D. Griffin, M. Holden, .

Quantifying texture scale

Lewis D. Griffin, E. Protonotarios, Sami Bouremoum, 2015 .

Reduction of wobble artefacts in images from mobile transmission X-ray vehicle scanners

Lewis D. Griffin, Thomas W. Rogers, James Ollier, 2014, 2014 IEEE International Conference on Imaging Systems and Techniques (IST) Proceedings.

The Use of English Colour Terms in Big Data

Mehrnoosh Sadrzadeh, Matthew Purver, Lindsay W. MacDonald, 2015 .

Coherence of achromatic, primary and basic classes of colour categories

Lewis D. Griffin, D. Mylonas, Dimitris Mylonas, 2020, Vision Research.

Lewis D. Griffin, 2001 .

Changing the HTS Paradigm: AI-Driven Iterative Screening for Hit Finding

Lewis D. Griffin, F. Svensson, P. Fish, 2020, SLAS discovery : advancing life sciences R & D.

Classifying local image symmetry using a co-localised family of linear filters

Lewis D. Griffin, Martin Lillholm, M. Lillholm, 2008 .

Image features and the 1-D, 2 nd

Lewis D. Griffin, Martin Lillholm, M. Lillholm, 2005 .

The Delaunay/Voronoi Selection Graph: a Method for Extracting Shape Information from 2-D Dot-Patterns with an Extension to 3-D

Glynn P. Robinson, Alan C. F. Colchester, Lewis D. Griffin, 1992 .

Automated and Online Characterization of Adherent Cell Culture Growth in a Microfabricated Bioreactor

Lewis D. Griffin, Farlan S. Veraitch, Nicolas Jaccard, 2014, Journal of laboratory automation.

Using deep learning on X-ray images to detect threats

Lewis D. Griffin, Nicolas Jaccard, Thomas W. Rogers, 2016 .

NMDA receptors regulate GABAA receptor lateral mobility and clustering at inhibitory synapses through serine 327 on the γ2 subunit

Lewis D. Griffin, A. MacAskill, I. Arancibia-Cárcamo, 2010, Proceedings of the National Academy of Sciences.

Scale space methods in computer vision : 4th international conference, Scale-Space 2003, Isle of Skye, UK, June 10-12, 2003 : proceedings

Lewis D. Griffin, Martin Lillholm, Scale-Space, 2003 .

Colour and spectral reflectance of stools from normal neonatal babies

Lewis D. Griffin, D. Mylonas, A. Sutcliffe, 2015 .

Performance of CIE94 for nonreference conditions

Lewis D. Griffin, Arsalan Sepehri, 2002 .

Automated detection of fluorescent cells in in‐resin fluorescence sections for integrated light and electron microscopy

Lewis D. Griffin, L. Pizarro, C. Peddie, 2018, Journal of microscopy.

Basic Colors and Image Features

Lewis D. Griffin, 2013 .

Objective Measures of Apparent Order of Point Patterns

Lewis D. Griffin, E. Protonotarios, Silviana Maria Ciurea Ilcus, 2012 .

National trends in the concurrence of tuberculosis and acquired immunodeficiency syndrome.

Lewis D. Griffin, D. Burwen, I. Onorato, 1995, Archives of internal medicine.

Basic colour foci and landmarks of the body colour solid

Lewis D. Griffin, 2010 .

Machine Learning of Raman Spectroscopy Data for Classifying Cancers: A Review of the Recent Literature

Lewis D. Griffin, Riana Gaifulina, I. Bell, 2022, Diagnostics.

Reconciling the statistics of spectral reflectance and colour

Lewis D. Griffin, 2019, PloS one.

Exploring the psychological impact of working during COVID-19 on medical and nursing students: a qualitative study

Lewis D. Griffin, R. Riley, 2022, BMJ Open.

How to Stay Curious while avoiding Noisy TVs using Aleatoric Uncertainty Estimation

Lewis D. Griffin, Augustine N. Mavor-Parker, C. Barry, 2022, ICML.

Inferring the location of neurons within an artificial network from their activity

Lewis D. Griffin, Alexander J. Dyer, 2022, Neural Networks.

Similar things look similar

Lewis D. Griffin, M. Wahab, 2011 .

Empirical assessment of colour symmetries

Lewis D. Griffin, 1999, Behavioral and Brain Sciences.

Steady-state EB cap size fluctuations are determined by stochastic microtubule growth and maturation

Lewis D. Griffin, T. Surrey, Jamie Rickman, 2017, Proceedings of the National Academy of Sciences.

Flat clathrin lattices: stable features of the plasma membrane

Lewis D. Griffin, D. Metcalf, A. Knight, 2014, Molecular biology of the cell.

Fluorescence assay for simultaneous quantification of CFTR ion-channel function and plasma membrane proximity

Lewis D. Griffin, E. Langron, P. Vergani, 2020, The Journal of Biological Chemistry.

Fluorescence assay for simultaneous quantification of CFTR ion-channel function and plasma membrane proximity.

Lewis D. Griffin, E. Langron, P. Vergani, 2019, The Journal of biological chemistry.

How reliably can paediatric professionals identify pale stool from cholestatic newborns?

Lewis D. Griffin, B. Vadamalayan, A. Baker, 2011, Archives of Disease in Childhood: Fetal and Neonatal Edition.

Neuronal activity mediated regulation of glutamate transporter GLT‐1 surface diffusion in rat astrocytes in dissociated and slice cultures

Lewis D. Griffin, Alison E. Twelvetrees, J. Muir, 2016, Glia.

Zen and the art of medical image registration: correspondence, homology, and quality

Lewis D. Griffin, W. R Crum, L. D Griffin, 2003, NeuroImage.

US foreign aid and its effects on UN General Assembly voting on important votes

Lewis D. Griffin, 2004 .

Automated Method for the Rapid and Precise Estimation of Adherent Cell Culture Characteristics from Phase Contrast Microscopy Images

Lewis D. Griffin, Nicolas Jaccard, Nicolas Szita, 2013, Biotechnology and bioengineering.

Quantum dot conjugated nanobodies for multiplex imaging of protein dynamics at synapses† †Electronic supplementary information (ESI) available: Detailed materials and methods, supplementary figures, and supporting information videos. See DOI: 10.1039/c7nr09130c

Lewis D. Griffin, J. Kittler, Souvik Modi, 2018, Nanoscale.

A geometric model of defensive peripersonal space

Lewis D. Griffin, L. D. Griffin, R. J. Bufacchi, 2015, Journal of neurophysiology.

Optimality of the basic colour categories for classification

Lewis D. Griffin, Lewis D Griffin, 2006, Journal of The Royal Society Interface.

Important factors determining the nanoscale tracking precision of dynamic microtubule ends

Lewis D. Griffin, N. Gustafsson, T. Surrey, 2016, Journal of microscopy.

Deep Learning Applied to Raman Spectroscopy for the Detection of Microsatellite Instability/MMR Deficient Colorectal Cancer

Lewis D. Griffin, Riana Gaifulina, M. Rodríguez-Justo, 2023, Cancers.

What is Dialectical Philosophy of Mathematics ?

Lewis D. Griffin, D. Corfield, R. Ashcroft, 2022 .

Limits on transfer learning from photographic image data to X-ray threat detection.

Matthew Caldwell, Lewis D. Griffin, Lewis D Griffin, 2020, Journal of X-ray science and technology.

High-content assay for CFTR monitoring: simultaneous quantification of channel function and biogenesis

Lewis D. Griffin, E. Langron, P. Vergani, 2019, bioRxiv.

Real‐time monitoring of specific oxygen uptake rates of embryonic stem cells in a microfluidic cell culture device

Lewis D. Griffin, Nicolas Jaccard, Nicolas Szita, 2016, Biotechnology journal.

High-content assay for precision medicine discovery in cystic fibrosis.

Lewis D. Griffin, E. Langron, P. Vergani, 2019 .

Hypotheses for Image Features, Icons and Textons

Lewis D. Griffin, M. Lillholm, 2006, International Journal of Computer Vision.

Measuring and correcting wobble in large-scale transmission radiography.

Lewis D. Griffin, James Ollier, T. W. Rogers, 2016, Journal of X-ray science and technology.

Large Language Models respond to Influence like Humans

Lewis D. Griffin, Augustine N. Mavor-Parker, Kimberly T. Mai, 2023, SICON.

A Comparison of Thresholding Methods for Forensic Reconstruction Studies Using Fluorescent Powder Proxies for Trace Materials†

Lewis D. Griffin, Ruth M Morgan, Lewis D Griffin, 2018, Journal of forensic sciences.

Feature classes for 1D, 2nd order image structure arise from natural image maximum likelihood statistics

Lewis D. Griffin, Lewis D Griffin, 2005, Network.

Automated Texture Recognition of Quartz Sand Grains for Forensic Applications *

Lewis D. Griffin, Ruth M Morgan, Giles Graham, 2012, Journal of forensic sciences.