G. Montana

Giovanni Montana, Zhana Kuncheva, G. Montana, 2015, 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Smchd1-Dependent and -Independent Pathways Determine Developmental Dynamics of CpG Island Methylation on the Inactive X Chromosome

G. Montana, N. Brockdorff, E. Heard, 2012, Developmental cell.

False positives in neuroimaging genetics using voxel-based morphometry data

Thomas E. Nichols, Giovanni Montana, Matt Silver, 2011, NeuroImage.

RIP140 Represses the “Brown-in-White” Adipocyte Program Including a Futile Cycle of Triacyclglycerol Breakdown and Synthesis

G. Montana, E. Kiskinis, M. Kaforou, 2014, Molecular endocrinology.

Differential analysis of biological networks

G. Montana, Da Ruan, A. Young, 2015, BMC Bioinformatics.

Network-guided regression for detecting associations between DNA methylation and gene expression

Zi Wang, Giovanni Montana, Edward W. J. Curry, 2014, Bioinform..

Identification of gene pathways implicated in Alzheimer's disease using longitudinal imaging phenotypes with sparse regression☆

Paul M. Thompson, Giovanni Montana, Xue Hua, 2012, NeuroImage.

Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease

Paul M. Thompson, Daniel Rueckert, Robin Wolz, 2012, NeuroImage.

Statistical Applications in Genetics and Molecular Biology Fast Identification of Biological Pathways Associated with a Quantitative Trait Using Group Lasso with Overlaps

Giovanni Montana, G. Montana, M. Silver, 2012 .

Model-Based Clustering with gene Ranking using penalized Mixtures of heavy-tailed Distributions

Giovanni Montana, Ajay Jasra, Alberto Cozzini, 2013, J. Bioinform. Comput. Biol..

Transcriptomic Profiling in Childhood H1N1/09 Influenza Reveals Reduced Expression of Protein Synthesis Genes

Colin G Fink, G. Montana, M. Kaforou, 2013, The Journal of infectious diseases.

Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker

Giovanni Montana, Rudra P. K. Poudel, Matthan W. A. Caan, 2016, NeuroImage.

Intestinal injury and endotoxemia in children undergoing surgery for congenital heart disease.

G. Montana, J. Mitchell, S. Waddell, 2011, American journal of respiratory and critical care medicine.

Estimating time-varying brain connectivity networks from functional MRI time series

Christoforos Anagnostopoulos, Ricardo Pio Monti, Giovanni Montana, 2013, NeuroImage.

Dissociating frontoparietal brain networks with neuroadaptive Bayesian optimization

G. Montana, R. Leech, A. Hampshire, 2017, bioRxiv.

A distance-based test of association between paired heterogeneous genomic data

Giovanni Montana, Christopher Minas, Edward W. J. Curry, 2013, Bioinform..

Decoding Time-Varying Functional Connectivity Networks via Linear Graph Embedding Methods

Christoforos Anagnostopoulos, Ricardo Pio Monti, Giovanni Montana, 2017, Front. Comput. Neurosci..

Real‐time estimation of dynamic functional connectivity networks

Christoforos Anagnostopoulos, Ricardo Pio Monti, Giovanni Montana, 2017, Human brain mapping.

Supervised, Multivariate, Whole-Brain Reduction Did Not Help to Achieve High Classification Performance in Schizophrenia Research

Giovanni Montana, Daniel Schwarz, Eva Janousova, 2016, Front. Neurosci..

A statistical framework for biomarker discovery in metabolomic time course data

Giovanni Montana, Maurice Berk, Timothy M. D. Ebbels, 2011, Bioinform..

Subspace clustering of high-dimensional data: a predictive approach

Giovanni Montana, Brian McWilliams, Brian McWilliams, 2012, Data Mining and Knowledge Discovery.

Learning to detect chest radiographs containing pulmonary lesions using visual attention networks

Emanuele Pesce, Samuel Withey, Petros-Pavlos Ypsilantis, 2017, Medical Image Anal..

Modelling Radiological Language with Bidirectional Long Short-Term Memory Networks

Giovanni Montana, Samuel Withey, Robert Bakewell, 2016, Louhi@EMNLP.

Random forests on distance matrices for imaging genetics studies

Giovanni Montana, Dimosthenis Tsagkrasoulis, Aaron Sim, 2013, Statistical applications in genetics and molecular biology.

Model-based trajectory stitching for improved behavioural cloning and its applications

G. Montana, Charles A. Hepburn, Giovanni Montana, 2022, Mach. Learn..

Balancing policy constraint and ensemble size in uncertainty-based offline reinforcement learning

G. Montana, Alex Beeson, 2023, ArXiv.

Heritability maps of human face morphology through large-scale automated three-dimensional phenotyping

Giovanni Montana, Tim Spector, Dimosthenis Tsagkrasoulis, 2016, Scientific Reports.

Recurrent Convolutional Networks for Pulmonary Nodule Detection in CT Imaging pdf

Giovanni Montana, Petros-Pavlos Ypsilantis, G. Montana, 2016, ArXiv.

Goal-conditioned Offline Reinforcement Learning through State Space Partitioning

G. Montana, Yue Jin, Mianchu Wang, 2023, ArXiv.

Statistical methods in genetics

Giovanni Montana, G. Montana, 2006, Briefings Bioinform..

Longitudinal detection of radiological abnormalities with time-modulated LSTM pdf

Giovanni Montana, Samuel Withey, Ruggiero Santeramo, 2018, DLMIA/ML-CDS@MICCAI.

Adaptive regularization for Lasso models in the context of nonstationary data streams

Christoforos Anagnostopoulos, Ricardo Pio Monti, Giovanni Montana, 2016, Stat. Anal. Data Min..

A Generative Adversarial Model for Right Ventricle Segmentation pdf

Pablo Lamata, Giovanni Montana, Nicoló Savioli, 2018, ArXiv.

Identification of Test Cases for Automated Driving Systems Using Bayesian Optimization

Pallab Dasgupta, Paul Jennings, Giovanni Montana, 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).

Improving TD3-BC: Relaxed Policy Constraint for Offline Learning and Stable Online Fine-Tuning

G. Montana, Alex Beeson, 2022, ArXiv.

Random forest regression for manifold-valued responses

Giovanni Montana, Dimosthenis Tsagkrasoulis, G. Montana, 2017, Pattern Recognit. Lett..

Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning

Giovanni Montana, Henry Charlesworth, G. Montana, 2020, ICML.

Learning what to look in chest X-rays with a recurrent visual attention model pdf

Giovanni Montana, Petros-Pavlos Ypsilantis, G. Montana, 2017, ArXiv.

Video Object Segmentation using Point-based Memory Network

James J. Q. Yu, G. Montana, Jungong Han, 2022, Pattern Recognition.

PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals pdf

Giovanni Montana, Henry Charlesworth, G. Montana, 2020, NeurIPS.

Characterising brain network topologies: A dynamic analysis approach using heat kernels

Paul Aljabar, Giovanni Montana, A. W. Chung, 2016, NeuroImage.

Learning population and subject-specific brain connectivity networks via Mixed Neighborhood Selection

Christoforos Anagnostopoulos, Ricardo Pio Monti, Giovanni Montana, 2015, 1512.01947.

Estimating and simulating multiple related functional connectivity networks via the MNS Package

Christoforos Anagnostopoulos, Ricardo Pio Monti, Giovanni Montana, 2015 .

Distance‐based analysis of variance: Approximate inference

Giovanni Montana, Christopher Minas, G. Montana, 2014, Stat. Anal. Data Min..

Random forests on Hadoop for genome-wide association studies of multivariate neuroimaging phenotypes

Limsoon Wong, Giovanni Montana, Yue Wang, 2013, BMC Bioinformatics.

Deep neural networks for anatomical brain segmentation

Giovanni Montana, Alexandre de Brébisson, A. D. Brébisson, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

HapSim: a simulation tool for generating haplotype data with pre-specified allele frequencies and LD coefficients

Giovanni Montana, G. Montana, 2005, Bioinform..

Classifier calibration using splined empirical probabilities in clinical risk prediction

Giovanni Montana, Simon Jones, Alex Bottle, 2015, Health care management science.

Measuring the functional connectome "on-the-fly": towards a new control signal for fMRI-based brain-computer interfaces

Christoforos Anagnostopoulos, Ricardo Pio Monti, Giovanni Montana, 2015, 1502.02309.

Sparse partial least squares regression for on‐line variable selection with multivariate data streams

Giovanni Montana, Brian McWilliams, Brian McWilliams, 2010, Stat. Anal. Data Min..

Sparse partial least squares regression for on-line variable selection with multivariate data streams

Giovanni Montana, Brian McWilliams, Brian McWilliams, 2010 .

Distance-based differential analysis of gene curves

Giovanni Montana, Christopher Minas, Simon J. Waddell, 2011, Bioinform..

Modelling short time series in metabolomics: a functional data analysis approach.

Maurice Berk, Giovanni Montana, Tim Ebbels, 2011, Advances in experimental medicine and biology.

Random forests on Hadoop for genome-wide association studies of multivariate neuroimaging phenotypes

L. Wong, G. Montana, Yue Wang, 2013, BMC Bioinformatics.

Multi‐view predictive partitioning in high dimensions

Giovanni Montana, Brian McWilliams, Brian McWilliams, 2012, Stat. Anal. Data Min..

Predictive Subspace Clustering

Giovanni Montana, Brian McWilliams, Brian McWilliams, 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.

A PRESS statistic for two-block partial least squares regression

Brian McWilliams, Giovanni Montana, Brian McWilliams, 2010, 2010 UK Workshop on Computational Intelligence (UKCI).

Spectral Multi-scale Community Detection in Temporal Networks with an Application pdf

Giovanni Montana, Zhana Kuncheva, G. Montana, 2019, ArXiv.

Automated Segmentation on the Entire Cardiac Cycle Using a Deep Learning Work - Flow

Pablo Lamata, Giovanni Montana, Nicoló Savioli, 2018, 2018 Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS).

Fast Brain-Wide Search of Highly Discriminative Regions in Medical Images: an Application to Alzheimers Disease

Daniel Rueckert, Robin Wolz, Giovanni Montana, 2011, MIUA.

Classifying HCP task-fMRI networks using heat kernels

Ricardo Pio Monti, Giovanni Montana, A. W. Chung, 2016, 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

Deep metric learning for multi-labelled radiographs

Giovanni Montana, Mauro Annarumma, Mauro Annarumma, 2017, SAC.

Text-mining the neurosynth corpus using deep boltzmann machines

Christoforos Anagnostopoulos, Ricardo Pio Monti, Giovanni Montana, 2016, 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity pdf

Yang Hu, Giovanni Montana, G. Montana, 2019, ArXiv.

Whole-brain mapping of structural connectivity in infants reveals altered connection strength associated with growth and preterm birth.

I. S. Gousias, J V Hajnal, A D Edwards, 2014, Cerebral cortex.

Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural Networks

G. Montana, George Watkins, Juergen Branke, 2023, LION.

Flexible least squares for temporal data mining and statistical arbitrage

Giovanni Montana, Kostas Triantafyllopoulos, Theodoros Tsagaris, 2007, Expert Syst. Appl..

Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation pdf

Pablo Lamata, Giovanni Montana, Rudra P. K. Poudel, 2016, RAMBO+HVSMR@MICCAI.

A persistent homology-based topological loss function for multi-class CNN segmentation of cardiac MRI

G. Montana, A. King, J. Clough, 2020, M&Ms and EMIDEC/STACOM@MICCAI.

Real‐time estimation of dynamic functional connectivity networks

G. Montana, R. Leech, C. Anagnostopoulos, 2017, Human brain mapping.

Characterising brain network topologies: A dynamic analysis approach using heat kernels

A. W. Chung, G. Montana, A. Edwards, 2016, NeuroImage.

Statistical software for gene mapping by admixture linkage disequilibrium

Giovanni Montana, Clive J. Hoggart, C. Hoggart, 2007, Briefings Bioinform..

Studying the brain from adolescence to adulthood through sparse multi-view matrix factorisations

Chiara Nosarti, Zi Wang, Giovanni Montana, 2016, 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease

D. Rueckert, G. Montana, J. Stein, 2012, NeuroImage.

Adaptive Experience Selection for Policy Gradient pdf

Giovanni Montana, Saad Mohamad, G. Montana, 2020, ArXiv.

Real-time diameter of the fetal aorta from ultrasound

Pablo Lamata, Enrico Grisan, Giovanni Montana, 2019, Neural Computing and Applications.

Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound pdf

Pablo Lamata, Giovanni Montana, Enrico Grisan, 2018, ICANN.

Brain image classification based on automated morphometry and penalised linear discriminant analysis with resampling

Giovanni Montana, Daniel Schwarz, Eva Janousová, 2015, 2015 Federated Conference on Computer Science and Information Systems (FedCSIS).

A framework for adaptive regularization in streaming Lasso models pdf

Christoforos Anagnostopoulos, Ricardo Pio Monti, Giovanni Montana, 2016, ArXiv.

Predictive modeling with high-dimensional data streams: an on-line variable selection approach

Brian McWilliams, Giovanni Montana, G. Montana, 2009 .

Adaptive regularization for Lasso models in the context of non-stationary data streams : Adaptive regularization for Lasso models

G. Montana, C. Anagnostopoulos, R. Monti, 2018 .

Fast Identification of Biological Pathways Associated with a Quantitative Trait Using Group Lasso with Overlaps

G. Montana, M. Silver, Alzheimer's Disease Neuroimaging Initiative, 2012, Statistical applications in genetics and molecular biology.

Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization

Christoforos Anagnostopoulos, Ricardo Pio Monti, Giovanni Montana, 2016, 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI).

Small sets and Markov transition densities

Giovanni Montana, Wilfrid S. Kendall, W. Kendall, 2002 .

Decoupling Multimodal Transformers for Referring Video Object Segmentation

G. Montana, J. Han, Jinyu Yang, 2023, IEEE Transactions on Circuits and Systems for Video Technology.

Graph Embeddings of Dynamic Functional Connectivity Reveal Discriminative Patterns of Task Engagement in HCP Data

Christoforos Anagnostopoulos, Ricardo Pio Monti, Giovanni Montana, 2015, 2015 International Workshop on Pattern Recognition in NeuroImaging.

Improving coordination in small-scale multi-agent deep reinforcement learning through memory-driven communication

G. Montana, E. Pesce, 2019, Machine Learning.

Dissociating frontoparietal brain networks with neuroadaptive Bayesian optimization

Ricardo Pio Monti, Giovanni Montana, Robert Leech, 2017, Nature Communications.