A. Koloydenko

发表

Non-Euclidean statistics for covariance matrices, with applications to diffusion tensor imaging

I. Dryden, A. Koloydenko, Diwei Zhou, 2009, 0910.1656.

Invariant Statistics and Coding of Natural Microimages

D. Geman, A. Koloydenko, 1998 .

Symmetric measures via moments

A. Koloydenko, 2004, math/0406173.

Symmetric Measures via Moments Eurandom Technical Report 2004-012

A. Koloydenko, 2004 .

Modeling natural microimage statistics

Donald Geman, Alexey Koloydenko, D. Geman, 2000 .

Theory of Segmentation

A. Koloydenko, J. Lember, Kristi Kuljus, 2011 .

Towards intra-operative diagnosis of tumours during breast conserving surgery by selective-sampling Raman micro-spectroscopy

A. Koloydenko, I. Ellis, E. Rakha, 2014, Physics in medicine and biology.

Diagnosis of tumors during tissue-conserving surgery with integrated autofluorescence and Raman scattering microscopy

A. Koloydenko, H. Williams, C. Rowlands, 2013, Proceedings of the National Academy of Sciences.

Automated multimodal spectral histopathology for quantitative diagnosis of residual tumour during basal cell carcinoma surgery

A. Koloydenko, H. Williams, G. Puppels, 2017, Biomedical optics express.

Loughborough University Institutional Repository Regularisation , interpolation and visualisation of di usion tensor images using non-Euclidean statistics

I. Dryden, A. Koloydenko, 2017 .

Regularisation, interpolation and visualisation of diffusion tensor images using non-Euclidean statistics

Li Bai, Diwei Zhou, Ian L. Dryden, 2015 .

Weighted Procrustes Analysis for Diffusion Tensor Imaging

I. Dryden, A. Koloydenko, Diwei Zhou, 2011 .

Bayesian multi-tensor diffusion MRI and tractography

I. Dryden, A. Koloydenko, Diwei Zhou, 2008 .

A constructive and implementation-aware proof of the existence of Viterbi processes

A. Koloydenko, J. Lember, 2009 .

In nite Viterbi alignments in the two state hidden Markov models

A. Koloydenko, J. Lember, 2008 .

Infinite Viterbi alignments in the two state hidden Markov models

A. Koloydenko, A. Koloydenko, J. Lember, 2007, 0711.0928.

Loughborough University Institutional Repository Non-Euclidean statistics for covariance matrices with applications to diffusion tensor imaging

A. Koloydenko, 2019 .

Towards Automated Diagnosis of Basal Cell Carcinoma

A. Koloydenko, H. Williams, I. Notingher, 2010 .

Raman spectral histopathology : towards unsupervised evaluation of tumour resection margins

A. Koloydenko, H. Williams, C. Rowlands, 2012 .

Weighted generalised Procrustes analysis of diffusion tensors

I. Dryden, A. Koloydenko, Diwei Zhou, 2009 .

Time Pattern Analysis of Malware by Circular Statistics

Allan Tomlinson, Alexey A. Koloydenko, Liuxuan Pan, 2017, 2017 ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS).

Clinical integration of fast Raman spectroscopy for Mohs micrographic surgery of basal cell carcinoma

A. Koloydenko, H. Williams, G. Puppels, 2021, Biomedical optics express.

Intra-operative spectroscopic assessment of surgical margins during breast conserving surgery

Dustin W. Shipp, Ioan Notingher, Ian O Ellis, 2018, Breast Cancer Research.

A Bayesian method with reparameterization for diffusion tensor imaging

Li Bai, Diwei Zhou, Ian L. Dryden, 2008, SPIE Medical Imaging.

Bridging Viterbi and posterior decoding: a generalized risk approach to hidden path inference based on hidden Markov models

Jüri Lember, Alexey A. Koloydenko, A. Koloydenko, 2014, J. Mach. Learn. Res..

Discrimination between basal cell carcinoma and hair follicles in skin tissue sections by Raman micro-spectroscopy

Alexey Koloydenko, Hywel C. Williams, Ioan Notingher, 2011 .

Development of Raman microspectroscopy for automated detection and imaging of basal cell carcinoma.

Ioan Notingher, Hywel Williams, Alina Zoladek, 2009, Journal of biomedical optics.

Increasing the speed of tumour diagnosis during surgery with selective scanning Raman microscopy

A. Koloydenko, H. Williams, C. Rowlands, 2014 .

Estimation of Viterbi path in Bayesian hidden Markov models

Kristi Kuljus, Juri Lember, Alexey Koloydenko, 2018, METRON.

A generalized risk-based approach to segmentation based on hidden Markov models pdf

Jüri Lember, Alexey A. Koloydenko, A. Koloydenko, 2010, ArXiv.

A Constructive Proof of the Existence of Viterbi Processes

Jüri Lember, Alexey A. Koloydenko, A. Koloydenko, 2008, IEEE Transactions on Information Theory.

Estimation of Viterbi path in Bayesian hidden Markov models

A. Koloydenko, Dario Gasbarra, J. Lember, 2019, METRON.

On Adjusted Viterbi Training

Alexey Koloydenko, Jüri Lember, Meelis Käärik, 2007 .

ADJUSTED VITERBI TRAINING

J. Lember, A. Koloydenko, A. Koloydenko, 2004, Probability in the Engineering and Informational Sciences.

The adjusted Viterbi training for hidden

Jüri Lember, Alexey Koloydenko, A. Koloydenko, 2008 .

Adjusted Viterbi Training:a proof of concept

Jüri Lember, Alexey Koloydenko, A. Koloydenko, 2005 .

MAP segmentation in Bayesian hidden Markov models: a case study pdf

Kristi Kuljus, Juri Lember, Alexey Koloydenko, 2020, Journal of applied statistics.

Non-Euclidean Analysis for Covariance Matrix Data with Application to Diffusion tensor Images

I. Dryden, A. Koloydenko, Diwei Zhou, 2013 .

Adjusted Viterbi training for hidden Markov models

J. Lember, A. Koloydenko, A. Koloydenko, 2007, 0709.2317.

ADJUSTED VITERBI TRAINING

A. Koloydenko, J. Lember, 2004, Probability in the Engineering and Informational Sciences.

A generalized risk approach to path inference based on hidden Markov models

Jüri Lember, Alexey Koloydenko, A. Koloydenko, 2010 .