Posts by Collection

portfolio

publications

High-throughput discovery of novel developmental phenotypes

Published in Nature, 2016

Using a standardized phenotyping platform that incorporates high-resolution 3D imaging, we identify phenotypes at multiple time points for previously uncharacterized genes and additional phenotypes for genes with previously reported mutant phenotypes.

Recommended citation: Dickinson, et al. (2016). "High-throughput discovery of novel developmental phenotypes." Nature. 537(7621). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5295821/

Detection and characterisation of bone destruction in murine rheumatoid arthritis using statistical shape models

Published in Medical Image Analysis, 2017

This paper presents a fully automated method for obtaining quantitative measurements of bone destruction from volumetric micro-CT images of a mouse hind paw.

Recommended citation: Brown, et al. (2017). "Detection and characterisation of bone destruction in murine rheumatoid arthritis using statistical shape models" Medical Image Analysis. 40. https://www.sciencedirect.com/science/article/pii/S1361841517300774

Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks

Published in JAMA Ophthalmology, 2018

This fully automated algorithm diagnosed plus disease in ROP with comparable or better accuracy than human experts. This has potential applications in disease detection, monitoring, and prognosis in infants at risk of ROP.

Recommended citation: Brown, et al. (2018). "Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks" JAMA Ophthalmology. 136(7). https://jamanetwork.com/journals/jamaophthalmology/article-abstract/2680579

talks

teaching

CMP2801M Advanced Programming

Undergraduate module, University of Lincoln, School of Computer Science, 2021

This module provides a comprehensive analysis of the general principles and practices of advancedprogramming with respect to software development. Notions and techniques of advancedprogramming are emphasised in the context of analysis, design and implementation of software andalgorithms. Great importance is placed upon the object-oriented paradigm and related conceptsapplied to algorithm and software development using the C++ programming language, howeverstudents will also be exposed to the principles and underlying theories pertaining to functionalprogramming.

CMP3108M Image Processing

Undergraduate module, University of Lincoln, School of Computer Science, 2021

This module aims to provide a broad introduction to the field of image processing, culminating in a practical understanding of how to apply and combine techniques to various image-related applications. The students will be able to extract useful information from the raw image and interpret the image data. The techniques will be implemented using the mathematical programming language Matlab or OpenCV.

CMP1124M Algorithms & Complexity

Undergraduate module, University of Lincoln, School of Computer Science, 2022

The module introduces the concepts of Algorithms and Complexity, providing an understanding of therange of applications where algorithmic solutions are required. Students will be introduced to theanalysis of time and space efficiency of algorithms; to the key issues in algorithm design; to the rangeof techniques used in the design of various types of algorithms. Students will be introduced torelevant theoretical concepts around algorithms and complexity in the lectures, together with apractical experience of implementing a range of algorithms in the workshops.