M. Guindani

M. Guindani, K. Rezvani, R. Champlin, 2016, Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation.

Bayesian dimensionality reduction via identifications of data intrinsic dimensions

A. Mira, A. Laio, M. Guindani, 2019 .

Echocardiographic measures associated with the presence of left ventricular thrombus in patients with chemotherapy‐related cardiac dysfunction

M. Guindani, S. Yusuf, R. Moudgil, 2018, Echocardiography.

A Bayesian semiparametric partially PH model for clustered time‐to‐event data

M. Guindani, Bernardo Nipoti, A. Jara, 2018, Scandinavian Journal of Statistics.

A Bayesian hierarchical model for maximizing the vascular adhesion of nanoparticles

Kassandra M. Fronczyk, M. Vannucci, P. Decuzzi, 2014, Computational mechanics.

Artificial hyperventilation normalizes haemodynamics and arterial oxygen content in hypoxic rats

M. Guindani, W. Dong, P. Martin, 2021, Anaesthesiology intensive therapy.

The role of the gastrointestinal microbiome in infectious complications during induction chemotherapy for acute myeloid leukemia

Daniel Patrick Smith, N. Ajami, J. Petrosino, 2016, Cancer.

Atrofia olivopontocerebellar sporadica: Studio con risonanza magnetica

M. Guindani, F. Albertini, M. Bonetti, 2003 .

Bioavailable Insulin-like Growth Factor-I Inversely Related to Weight Gain in Postmenopausal Women Regardless of Exogenous Estrogen

M. Guindani, E. Paskett, M. Vitolins, 2013, Cancer Epidemiology, Biomarkers & Prevention.

Dataset for: A Bayesian Mixture Model for Clustering and Selection of Feature Occurrence Rates under Mean Constraints

Marina Vannucci, Wiley Admin, Howard D. Bondell, 2017 .

SNAP23 is selectively expressed in airway secretory cells and mediates baseline and stimulated mucin secretion

M. Guindani, P. Roche, C. W. Davis, 2015, Bioscience reports.

An Integrative Bayesian Modeling Approach to Imaging Genetics

Francesco C Stingo, Marina Vannucci, Michele Guindani, 2013, Journal of the American Statistical Association.

A Bayesian Nonparametric Spiked Process Prior for Dynamic Model Selection

M. Vannucci, M. Guindani, Alberto Cassese, 2019, Bayesian Analysis.

Metal artifact suppression at the hip: diagnostic performance at 3.0 T versus 1.5 Tesla

Misung Han, M. Guindani, K. Koch, 2015, Skeletal Radiology.

Predictors of left ventricular systolic function recovery in the setting of sinus tachycardia in patients with cancer

M. Guindani, V. Valero, S. Yusuf, 2017, Echocardiography.

Technical Note: A Monte Carlo study of magnetic-field-induced radiation dose effects in mice.

J. Hazle, M. Guindani, L. Court, 2015, Medical physics.

Retaining Faculty in Academic Medicine: The Impact of Career Development Programs for Women.

M. Guindani, D. Helitzer, P. Morahan, 2016, Journal of women's health.

Beneficial Effects of Melatonin on Apolipoprotein-E Knockout Mice by Morphological and 18F-FDG PET/CT Assessments

M. Guindani, L. Nardo, R. Badawi, 2020, International journal of molecular sciences.

A predictor-informed multi-subject bayesian approach for dynamic functional connectivity

Aaron R. Seitz, Megan A. K. Peters, Xiaoping P. Hu, 2022, PloS one.

A Bayesian mixture model for clustering and selection of feature occurrence rates under mean constraints

Marina Vannucci, Howard D. Bondell, Brian J. Reich, 2017, Stat. Anal. Data Min..

Beyond t test and ANOVA: applications of mixed-effects models for more rigorous statistical analysis in neuroscience research

Xiangmin Xu, M. Guindani, T. Holmes, 2021, Neuron.

Characterization of oral and gut microbiome temporal variability in hospitalized cancer patients

Daniel Patrick Smith, N. Ajami, J. Petrosino, 2017, Genome Medicine.

Testing the nicotine dependence measure mFTQ for adolescent smokers: A multinational investigation

M. Guindani, M. Arora, B. Idrisov, 2017, The American journal on addictions.

Functional analysis of limb transcriptional enhancers in the mouse

M. Guindani, R. Schwartz, J. Deng, 2014, Evolution & development.

An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data

Marina Vannucci, Raffaele Argiento, Michele Guindani, 2017, BMC Bioinformatics.

A spatiotemporal nonparametric Bayesian model of multi-subject fMRI data

Marina Vannucci, Francesco Versace, Michele Guindani, 2016 .

Role of Increased n-acetylaspartate Levels in Cancer.

Michele Guindani, Wei Hu, Niki M Zacharias, 2016, Journal of the National Cancer Institute.

A Network Biology Approach Identifies Molecular Cross-Talk between Normal Prostate Epithelial and Prostate Carcinoma Cells

Marina Vannucci, Xiaodong Zhuang, Francesco Falciani, 2016, PLoS Comput. Biol..

iBATCGH : Integrative Bayesian Analysis of Transcriptomic and CGH data

Marina Vannucci, Alberto Cassese, Michele Guindani, 2016 .

A HIERARCHICAL BAYESIAN MODEL FOR INFERENCE OF COPY NUMBER VARIANTS AND THEIR ASSOCIATION TO GENE EXPRESSION.

Marina Vannucci, Francesco Falciani, Alberto Cassese, 2014, The annals of applied statistics.

A role for BMP-induced homeobox gene MIXL1 in acute myelogenous leukemia and identification of type I BMP receptor as a potential target for therapy

M. Guindani, B. Liu, S. Liang, 2014, Oncotarget.

Bayesian nonparametric statistics: A new toolkit for discovery in cancer research

Peter F Thall, Michele Guindani, Peter Mueller, 2017, Pharmaceutical statistics.

31st Annual Meeting and Associated Programs of the Society for Immunotherapy of Cancer (SITC 2016): part one

Charles J. Vaske, Rohan N. Borkar, Brian D. Kelly, 2016, Journal of Immunotherapy for Cancer.

Generalized Species Sampling Priors With Latent Beta Reinforcements

Edoardo M. Airoldi, Fabrizio Leisen, Federico Bassetti, 2010, Journal of the American Statistical Association.

Incidence of Atypical Femur Fractures in Cancer Patients: The MD Anderson Cancer Center Experience

G. Hortobagyi, M. Guindani, W. Murphy, 2016, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

Bayesian nonparametric estimation of targeted agent effects on biomarker change to predict clinical outcome

Peter F Thall, Michele Guindani, Rebecca Graziani, 2015, Biometrics.

Spatial Bayesian modeling of GLCM with application to malignant lesion characterization

Xiao Li, Michele Guindani, Chaan S Ng, 2019, Journal of applied statistics.

Classification of adrenal lesions through spatial Bayesian modeling of GLCM

X. Li, Michele Guindani, C. S. Ng, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Bayesian negative binomial mixture regression models for the analysis of sequence count and methylation data

Marina Vannucci, Alberto Cassese, Michele Guindani, 2018, Biometrics.

A Bayesian Approach for Estimating Dynamic Functional Network Connectivity in fMRI Data

Marina Vannucci, Erik B. Erhardt, Michele Guindani, 2018, Journal of the American Statistical Association.

A Bayesian predictive model for imaging genetics with application to schizophrenia

Kim-Anh Do, Michele Guindani, Thierry Chekouo, 2016 .

Temporal and spectral characteristics of dynamic functional connectivity between resting-state networks reveal information beyond static connectivity

Marina Vannucci, Sharon Chiang, John M Stern, 2018, PloS one.

Bayesian vector autoregressive model for multi‐subject effective connectivity inference using multi‐modal neuroimaging data

Marina Vannucci, Sharon Chiang, John M Stern, 2016, Human brain mapping.

Bayesian Models for fMRI Data Analysis.

Marina Vannucci, Michele Guindani, M. Vannucci, 2015, Wiley interdisciplinary reviews. Computational statistics.

Bayesian models for functional magnetic resonance imaging data analysis

Marina Vannucci, Linlin Zhang, Michele Guindani, 2014 .

Lésions muqueuses gastriques après gastrectomie selon Billroth I pour ulcère gastrique bénin

M. Guindani, E. Pelizzari, F. Cerqui, 1983, Acta Endoscopica.

Two‐group Poisson‐Dirichlet mixtures for multiple testing

Marina Vannucci, Fabrizio Leisen, Michele Guindani, 2020, Biometrics.

Body image and quality of life of breast cancer patients: influence of timing and stage of breast reconstruction

M. Markey, M. Guindani, I. Teo, 2016, Psycho-oncology.

More nonparametric Bayesian inference in applications

Michele Guindani, Wesley O. Johnson, W. Johnson, 2018, Stat. Methods Appl..

Body image screening for cancer patients undergoing reconstructive surgery

M. Hanasono, M. Guindani, M. Crosby, 2014, Psycho-oncology.

Quality of life among long-term survivors of advanced stage ovarian cancer: A cross-sectional approach.

K. Baggerly, B. Karlan, M. Guindani, 2017, Gynecologic oncology.

A spatio-temporal nonparametric Bayesian variable selection model of fMRI data for clustering correlated time courses

Marina Vannucci, Francesco Versace, Linlin Zhang, 2014, NeuroImage.

A Bayesian approach to evaluation of soil biogeochemical models

Michele Guindani, Steven D. Allison, Hua W. Xie, 2020 .

SU-F-T-168: Development and Implementation of An Anthropomorphic Head & Neck Phantom for the Assessment of Proton Therapy Treatment Procedures.

M. Guindani, D. Followill, S. Frank, 2016, Medical physics.

Time-dependence of graph theory metrics in functional connectivity analysis

Marina Vannucci, Sharon Chiang, Alberto Cassese, 2016, NeuroImage.

A Bayesian hierarchical model for maximizing the vascular adhesion of nanoparticles

Kassandra M. Fronczyk, M. Vannucci, P. Decuzzi, 2013, Computational Mechanics.

Bayesian Time-Varying Tensor Vector Autoregressive Models for Dynamic Effective Connectivity

Michele Guindani, Ivor Cribben, Wei Zhang, 2021, 2106.14083.

Central Posterior Envelopes for Bayesian Functional Principal Component Analysis

M. Guindani, D. Telesca, S. Jeste, 2023, Journal of Data Science.

Increasing Promotion of Women Faculty in Academic Medicine: Impact of National Career Development Programs.

M. Guindani, D. Helitzer, P. Morahan, 2020, Journal of women's health.

A horseshoe mixture model for Bayesian screening with an application to light sheet fluorescence microscopy in brain imaging

B. Shahbaba, S. Gandhi, M. Guindani, 2021, The Annals of Applied Statistics.

Filtering and Estimation for a Class of Stochastic Volatility Models with Intractable Likelihoods

M. Guindani, K. Ensor, Emilian R. Vankov, 2019, Bayesian Analysis.

Impedance-Based Monitoring of Mesenchymal Stromal Cell Three-Dimensional Proliferation Using Aerosol Jet Printed Sensors: A Tissue Engineering Application

Mauro Serpelloni, Emilio Sardini, Edoardo Cantù, 2020, Materials.

Multiple hypothesis screening using mixtures of non‐local distributions with applications to genomic studies

A. Mira, M. Guindani, Francesco Denti, 2022, Statistics in medicine.

A Bayesian Nonparametric Approach for Functional Data Classification with Application to Hepatic Tissue Characterization

Marina Vannucci, Michele Guindani, Chaan S. Ng, 2015, Cancer informatics.

Body image screening for cancer patients undergoing reconstructive surgery

M. Hanasono, M. Guindani, M. Crosby, 2014, Psycho-oncology.

Temporal and spectral characteristics of dynamic functional connectivity between resting-state networks reveal information beyond static connectivity

M. Vannucci, M. Guindani, J. Stern, 2018, PloS one.

AI-Based Automated Lipomatous Tumor Segmentation in MR Images: Ensemble Solution to Heterogeneous Data

A. L. Wong, M. Guindani, L. Nardo, 2023, Journal of digital imaging.

An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data

M. Vannucci, M. Guindani, R. Argiento, 2017, BMC Bioinformatics.

A Bayesian Nonparametric Approach for the Analysis of Multiple Categorical Item Responses.

Andrew E. Waters, Kassandra M. Fronczyk, Richard Baraniuk, 2015, Journal of Statistical Planning and Inference.

Challenges in the Analysis of Neuroscience Data

Marina Vannucci, Michele Guindani, M. Vannucci, 2017 .

Journal of the American Statistical Association an Integrative Bayesian Modeling Approach to Imaging Genetics an Integrative Bayesian Modeling Approach to Imaging Genetics

M. Vannucci, V. Calhoun, M. Guindani, 2022 .

Smoothness Properties and Gradient Analysis Under Spatial Dirichlet Process Models

A. Gelfand, M. Guindani, 2006 .