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

par Silver, Matt, Montana, Giovanni
Publié 2012

Statistical Tests for Admixture Mapping with Case-Control and Cases-Only Data

par Montana, Giovanni, Pritchard, Jonathan K.
Publié 2004

A statistical framework for biomarker discovery in metabolomic time course data

par Berk, Maurice, Ebbels, Timothy, Montana, Giovanni
Publié 2011

Differential analysis of biological networks

par Ruan, Da, Young, Alastair, Montana, Giovanni
Publié dans BMC Bioinformatics (2015)

False positives in neuroimaging genetics using voxel-based morphometry data

par Silver, Matt, Montana, Giovanni, Nichols, Thomas E.
Publié 2011

Discovering genetic associations with high-dimensional neuroimaging phenotypes: a sparse reduced-rank regression approach

par Vounou, Maria, Nichols, Thomas E., Montana, Giovanni
Publié dans Neuroimage (2010)

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

par Wang, Yue, Goh, Wilson, Wong, Limsoon, Montana, Giovanni
Publié 2013

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

par Janousova, Eva, Montana, Giovanni, Kasparek, Tomas, Schwarz, Daniel
Publié dans Front Neurosci (2016)

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

par Tsagkrasoulis, Dimosthenis, Hysi, Pirro, Spector, Tim, Montana, Giovanni
Publié dans Sci Rep (2017)

A Persistent Homology-Based Topological Loss Function for Multi-class CNN Segmentation of Cardiac MRI

par Byrne, Nick, Clough, James R., Montana, Giovanni, King, Andrew P.
Publié dans Stat Atlases Comput Models Heart (2020)

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

par Silver, Matt, Janousova, Eva, Hua, Xue, Thompson, Paul M., Montana, Giovanni
Publié 2012

Real-time diameter of the fetal aorta from ultrasound

par Savioli, Nicoló, Grisan, Enrico, Visentin, Silvia, Cosmi, Erich, Montana, Giovanni, Lamata, Pablo
Publié dans Neural Comput Appl (2019)

A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR

par Byrne, Nick, Clough, James R., Valverde, Israel, Montana, Giovanni, King, Andrew P.
Publié dans IEEE Trans Med Imaging (2022)

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

par Monti, Ricardo P., Lorenz, Romy, Hellyer, Peter, Leech, Robert, Anagnostopoulos, Christoforos, Montana, Giovanni
Publié dans Front Comput Neurosci (2017)

Efficiency of Xist-mediated silencing on autosomes is linked to chromosomal domain organisation

par Tang, Y Amy, Huntley, Derek, Montana, Giovanni, Cerase, Andrea, Nesterova, Tatyana B, Brockdorff, Neil
Publié 2010

Dissociating frontoparietal brain networks with neuroadaptive Bayesian optimization

par Lorenz, Romy, Violante, Ines R., Monti, Ricardo Pio, Montana, Giovanni, Hampshire, Adam, Leech, Robert
Publié dans Nat Commun (2018)

Automated Triaging of Adult Chest Radiographs with Deep Artificial Neural Networks

par Annarumma, Mauro, Withey, Samuel J., Bakewell, Robert J., Pesce, Emanuele, Goh, Vicky, Montana, Giovanni
Publié dans Radiology (2019)

Real‐time estimation of dynamic functional connectivity networks

par Monti, Ricardo Pio, Lorenz, Romy, Braga, Rodrigo M., Anagnostopoulos, Christoforos, Leech, Robert, Montana, Giovanni
Publié dans Hum Brain Mapp (2016)

Automated Triaging of Adult Chest Radiographs with Deep Artificial Neural Networks

par Annarumma, Mauro, Withey, Samuel J., Bakewell, Robert J., Pesce, Emanuele, Goh, Vicky, Montana, Giovanni
Publié dans Radiology (2019)

Evaluation of treatment response and resistance in metastatic renal cell cancer (mRCC) using integrated (18)F–Fluorodeoxyglucose ((18)F–FDG) positron emission tomography/magnetic r...

par Kelly-Morland, Christian, Rudman, Sarah, Nathan, Paul, Mallett, Susan, Montana, Giovanni, Cook, Gary, Goh, Vicky
Publié dans BMC Cancer (2017)