The Lab for Neuroimaging and Neuroinformatics (LNN) @ UCPH
The Lab for Neuroimaging and Neuroinformatics (LNN) @ UCPH
About
People
Projects
Publications
Melanie Ganz
Associate Professor
Department of Computer Science, University of Copenhagen
Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet
Website:
https://sites.google.com/view/melanieganz/home
Interests
Machine learning
Neuroimage analysis
Open Science
Statistics
Latest
Building Multivariate Molecular Imaging Brain Atlases Using the NeuroMark PET Independent Component Analysis Framework
Changes in hippocampal volume, 5-HT4 receptor binding, and verbal memory over the course of antidepressant treatment in major depressive disorder
In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review
Measuring and interpreting individual differences in fetal, infant, and toddler neurodevelopment
Multimodal Brain Age Prediction Using Machine Learning: Combining Structural MRI and 5-HT2AR PET-derived Features
A sensitivity analysis to quantify the impact of neuroimaging preprocessing strategies on subsequent statistical analyses
Agreement of Image Quality Metrics with Radiological Evaluation in the Presence of Motion Artifacts
Assessing Image Quality Metric Alignment with Radiological Evaluation in Datasets with and without Motion Artifacts
Associations between behavioral and emotional problems and brain morphology in early adolescence: A neuroimaging study using the NRU Serotonin Atlas
Classification of Medical Text in Small and Imbalanced Datasets in a Non-English Language
Generative Models for Children’s Head Motion in Resting-State Functional Magnetic Resonance Imaging (rs-fMRI)
Head Movement in the Resting-State Functional Magnetic Resonance Imaging (rs-fMRI) Data of the Adolescent Brain Cognitive Development (ABCD) Study
Hybrid Motion Correction: Latency Compensation In The Presence Of Respiratory Motion
Hybrid Motion Correction: Prospective Thresholding and Retrospective Residual Correction
Multimodal brain age prediction using machine learning: combining structural MRI and 5-HT2AR PET-derived features
NeuroMark PET: Replicable positron emission tomography ICA templates for florbetapir and florbetaben radioligands
PET2BIDS: a library for converting Positron Emission Tomography data to BIDS
Quantifying the impact of preprocessing strategies on statistical analyses
Simulating Head Motion in MRI: A Silicone Phantom Approach with Machine Learning Integration
10 years of reproducibility in biomedical research: how can we achieve generalizability and fairness?
Are demographically invariant models and representations in medical imaging fair?
Association between the loudness dependence of auditory evoked potential, serotonergic neurotransmission and treatment outcome in patients with depression
Bias in context: What to do when complete bias removal is not an option
Data sharing in neuroimaging: experiences from the BIDS project
Deep phenotyping towards precision psychiatry of first-episode depression—the Brain Drugs-Depression cohort
On (assessing) the fairness of risk score models
Prediction of brain age using structural magnetic resonance imaging: A comparison of accuracy and test--retest reliability of publicly available software packages
Prediction of brain age using structural magnetic resonance imaging: A comparison of accuracy and test–retest reliability of publicly available software packages
Selective MRI reacquisition to extend the working range of retrospective motion correction
The path toward equal performance in medical machine learning
Emotional faces processing in major depressive disorder and prediction of antidepressant treatment response: a NeuroPharm study
Evaluating the match of image quality metrics with radiological assessment in a dataset with and without motion artifacts
Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer’s disease detection
Generalizability of treatment outcome prediction in major depressive disorder using structural MRI: a NeuroPharm study
Hippocampal volume changes in a pharmacological sex-hormone manipulation risk model for depression in women
Open and reproducible neuroimaging: from study inception to publication
Psilocybin modulation of time-varying functional connectivity is associated with plasma psilocin and subjective effects
A high-resolution in vivo atlas of the human brain's benzodiazepine binding site of GABAA receptors
Assessing Bias in Medical AI
Characterisation of children's head motion for Magnetic Resonance Imaging with and without general anaesthesia
NeuroPharm study: EEG wakefulness regulation as a biomarker in MDD
Pretreatment qEEG biomarkers for predicting pharmacological treatment outcome in major depressive disorder: independent validation from the NeuroPharm study
Psilocybin modulation of dynamic functional connectivity is associated with plasma psilocin and subjective effects
Reward processing in major depressive disorder and prediction of treatment response--Neuropharm study
Algoritmer kopierer lægers fordomme om race og køn
Different preprocessing strategies lead to different conclusions: a [11C] DASB-PET reproducibility study
False positive rates in positron emission tomography (PET) voxelwise analyses
Guidelines for the content and format of PET brain data in publications and archives: a consensus paper
Kan kunstig intelligens give fair forudsigelser?
Optimizing a preprocessing pipeline for structural 7T MR analyses in FreeSurfer
Predicting treatment outcome in major depressive disorder using serotonin 4 receptor PET brain imaging, functional MRI, cognitive-, EEG-based, and peripheral biomarkers: a neuropharm open label clinical trial protocol
The structure of the serotonin system: A PET imaging study
Can the flipped classroom enhance student learning?
Cerebral serotonin transporter measurements with [11C] DASB: a review on acquisition and preprocessing across 21 PET centres
Optimization of preprocessing strategies in positron emission tomography (PET) neuroimaging: a [11C] DASB PET study
Preprocessing, prediction and significance: framework and application to brain imaging
Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images
Multi-view consensus CNN for 3D facial landmark placement
Pre-intervention test-retest reliability of EEG and ERP over four recording intervals
The impact of preprocessing pipeline choice in univariate and multivariate analyses of pet data
A high-resolution in vivo atlas of the human brain's serotonin system
BASELINE RELIABILITY OF EEG AND ERP IN A FOUR-WAY CROSSOVER STUDY IN HEALTHY SUBJECTS
Cerebellar heterogeneity and its impact on PET data quantification of 5-HT receptor radioligands
Crowdsourcing for error detection in cortical surface delineations
Permutations Tests for Binary Classification:Revisited
Serotonin 2A receptor agonist binding in the human brain with [11C] Cimbi-36: test--retest reproducibility and head-to-head comparison with the antagonist [18F] altanserin
Estimation of Regional Seasonal Variations in SERT-levels using the FreeSurfer PET pipeline: a reproducibility study
High-resolution surface and volume-based in vivo atlas of the serotonin system in the healthy brain
Relevant feature set estimation with a knock-out strategy and random forests
Vermis - to exclude or not exclude? Defining a proper reference region for PET modelling of the serotonin system
Approximate false positive rate control in selection frequency for random forest
On Feature Relevance in Image-based Prediction Models: An Empirical Study
The improved relevance voxel machine
Automatic segmentation of polyps in colonoscopic narrow-band imaging data
Distribution, size, and shape of abdominal aortic calcified deposits and their relationship to mortality in postmenopausal women
A Bayesian framework for automated cardiovascular risk scoring on standard lumbar radiographs
Abdominal aortic calcification quantified by the Morphological Atherosclerotic Calcification Distribution (MACD) index is associated with features of the metabolic syndrome
Detection and Analysis of Calcified Deposits and Their Relation to Cardiovascular Diseases
Distribution, Size, and Shape of Abdominal Aortic Calcified Deposits and Their Relationship to Mortality in Postmenopausal Women
Distribution, size, shape, growth potential and extent of abdominal aortic calcified deposits predict mortality in postmenopausal women
Growth patterns of abdominal atherosclerotic calcified deposits from lumbar lateral X-rays
MACD: an imaging marker for cardiovascular disease
Patch-based generative shape model and mdl model selection for statistical analysis of archipelagos
BMD prediction of death is encapsulated by the Morphological Atherosclerosis Calcification Distribution (MACD) index
Dense iterative contextual pixel classification using kriging
Growth analysis of individual abdominal atherosclerotic calcified deposits
Automated Quantification of the Morphological Atherosclerotic Calcification Distribution on X-Rays Is a Strong Predictor of Mortality in Postmenopausal Women
Growth Pattern of Atherosclerotic Calcifications
Morphological Atherosclerosis Calcification Distribution (MACD) Index is a Strong Predictor of Cardio-Vascular Death and Include Predictive Power of BMD
Superior assessment of CVD death by MACD index compared with the framingham score is highly associated with predisposition to diabetes
Top Quark Physics Beyond The Standard Model
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