Co-design of a trustworthy AI-based prognostic tool for predicting patient outcome in acute stroke
E Hofvenschioeld, A Hilbert, CKT Bui, S Bonekamp, T Buckley, R Calegari, …
AI and Ethics 6 (5), 512
Publications
Publications and research outputs
Journal articles, preprints, conference contributions and other research outputs, listed by year.
Profiles: Google Scholar · ResearchGate
2026 · 2025 · 2024 · Undated record · Source review
2026 · 6 records
How ethics operationalization breaks down in practice: expert perspectives from healthcare AI
R Minocher, I Velarde, V Buerger, G Pluktaite, VI Madai
AI and Ethics 6 (5), 535
Neuroethik–eine Bestandsaufnahme und ein Blick in die Zukunft
B Heinrichs, D Diegelmann, O Friedrich, JH Heinrichs, P Kellmeyer, …
Ethik in der Medizin 38 (2), 261-274
ABSTRACT NUMBER: ESOC2026A1123 STANDARD OPERATING PROCEDURE FOR TRUSTWORTHY AI DEVELOPMENT AND VALIDATION IN STROKE
V Bürger, R Minocher, M Ayesta, S Bonekamp, G Colangelo, D Frey, …
European Stroke Journal 11 (Suppl 1), i324 · Conference contribution
Advancing Trustworthy AI in Healthcare Through Meta-Research: Results of an Interdisciplinary Design-Thinking Workshop
V Bürger, M Besouw, J Fehr, R Minocher, E Moorhead, I Velarde, …
arXiv e-prints, arXiv: 2603.13286 · Preprint
Current arXiv v2 title. Scholar lists the earlier title “How Meta-research Can Pave the Road Towards Trustworthy AI In Healthcare: Catalogue of Ideas and Roadmap for Future Research”.
Protocol: A Scoping Review of Actionable Recommendations for the Deployment of Artificial Intelligence in Healthcare
LA Ossa, J Fehr, VI Madai, S Zullino, L Topff, L Cerdà-Alberich, …
Open Science Framework · Protocol
Year supplied by the COMPASS-AI project’s open-science record; undated in Scholar.
2025 · 7 records
Operationalizing AI ethics in medicine—a co-creation workshop study
LM Lopez-Ramos, G Pluktaite, CKT Bui, J Amann, T Haven, VI Madai, …
BMC Medical Ethics 26 (1), 150
Explainable AI: definition and attributes of a good explanation for health AI
E Kyrimi, S McLachlan, JM Wohlgemut, ZB Perkins, DA Lagnado, …
AI and Ethics 5 (4), 3883-3896
Getting ready for the EU AI Act in healthcare. A call for sustainable AI development and deployment
JB Brodersen, IA Caggiano, P Kringen, VI Madai, W Osika, G Sartor, …
arXiv preprint arXiv:2505.07875 · Preprint
Early complications after mild to moderate ischemic stroke and impact on 3‐month outcome: the multicenter prospective stroke unit plus cohort study
J Sobesky, VI Madai, S Zweynert, C Malsch, DG Nabavi, HJ Audebert, …
Journal of the American Heart Association 14 (4), e032068
A Modified Parallel NET (MPNET)-Based Deep Learning Technique for the Segmentation of Visceral and Superficial Adipose Tissues Quantification of CT Scans
J Adekanbi, D Das, N Elmitwally, A Ali, VI Madai, B Bahadar
IEEE Access
External validation of AI-based scoring systems in the ICU: a systematic review and meta-analysis
P Rockenschaub, EM Akay, BG Carlisle, A Hilbert, J Wendland, …
BMC Medical Informatics and Decision Making 25 (1), 5
The fundamentals of AI ethics in medical imaging
J Amann, VK Bürger, M Livne, CKT Bui, VI Madai
Trustworthy AI in Medical Imaging, 7-33 · Book chapter
2024 · 10 records
Enhancing ICU Risk Prediction Through Diverse Multicenter Machine Learning Models: A Critical Care Perspective Reply
P Rockenschaub, VI Madai, D Frey
CRITICAL CARE MEDICINE 52 (12), e638-e639
Interplay between federated learning and explainable artificial intelligence: a scoping review
LM Lopez-Ramos, F Leiser, A Rastogi, S Hicks, I Strümke, VI Madai, …
arXiv preprint arXiv:2411.05874 · Preprint
Perfusion parameter map generation from TOF-MRA in stroke using generative adversarial networks
F Lohrke, VI Madai, T Kossen, OU Aydin, J Behland, A Hilbert, MA Mutke, …
NeuroImage 298, 120770
Ethical Implications of Digital Twins in Healthcare: A Scoping Review
R Minocher, J Fehr, V Buerger, G Pluktaite, BG Carlisle, VI Madai
Publication details not provided in Scholar
The impact of multi-institution datasets on the generalizability of machine learning prediction models in the ICU
P Rockenschaub, A Hilbert, T Kossen, P Elbers, F Von Dincklage, …
Critical Care Medicine 52 (11), 1710
Automated detection of early signs of irreversible ischemic change on CTA source images in patients with large vessel occlusion
A Mak, CC Matouk, EW Avery, J Behland, SP Haider, D Frey, VI Madai, …
PloS one 19 (6), e0304962
The unmet promise of trustworthy AI in healthcare: why we fail at clinical translation
VK Bürger, J Amann, CKT Bui, J Fehr, VI Madai
Frontiers in Digital Health 6, 1279629
Federated learning is not a cure-all for data ethics
M Bak, VI Madai, LA Celi, GA Kaissis, R Cornet, M Maris, D Rueckert, …
Nature Machine Intelligence 6 (4), 370-372
A trustworthy AI reality-check: the lack of transparency of artificial intelligence products in healthcare
J Fehr, B Citro, R Malpani, C Lippert, VI Madai
Frontiers in Digital Health 6, 1267290
Supplementary Material A Trustworthy AI Reality-Check: The Lack of Transparency of Artificial Intelligence Products in Healthcare.
J Fehr, B Citro, R Malpani, C Lippert, VI Madai
Supplement to the Frontiers in Digital Health article · Supplementary material
Supporting material for the article listed above; not a separate journal paper.
2023 · 13 records
Lessons learned from assessing trustworthy AI in practice
D Vetter, J Amann, F Bruneault, M Coffee, B Düdder, A Gallucci, …
Digital Society 2 (3), 35
Long-term trajectories of community integration: identification, characterization, and prediction using inpatient rehabilitation variables
A Garcia-Rudolph, J Sauri, K Cisek, JD Kelleher, VI Madai, D Frey, …
Topics in Stroke Rehabilitation 30 (7), 714-726
Personalised simulation of hemodynamics in cerebrovascular disease: lessons learned from a study of diagnostic accuracy
J Behland, VI Madai, OU Aydin, EM Akay, T Kossen, A Hilbert, J Sobesky, …
Frontiers in neurology 14, 1230402
Enhancing the prediction for shunt-dependent hydrocephalus after aneurysmal subarachnoid hemorrhage using a machine learning approach
D Frey, A Hilbert, A Früh, VI Madai, T Kossen, J Kiewitz, J Sommerfeld, …
Neurosurgical Review 46 (1), 206
Predicting models for arm impairment: External validation of the Scandinavian models and identification of new predictors in post-acute stroke settings
A García-Rudolph, I Soriano, H Becerra, VI Madai, D Frey, E Opisso, …
NeuroRehabilitation 53 (1), 91-104
Artificial intelligence for clinical decision support in acute ischemic stroke: a systematic review
EMZ Akay, A Hilbert, BG Carlisle, VI Madai, MA Mutke, D Frey
Stroke 54 (6), 1505-1516
Machine Learning–Based Identification of Target Groups for Thrombectomy in Acute Stroke
F Quandt, F Flottmann, VI Madai, A Alegiani, C Küpper, L Kellert, A Hilbert, …
Translational Stroke Research 14 (3), 311-321
Expectations and attitudes towards medical artificial intelligence: a qualitative study in the field of stroke
J Amann, E Vayena, KE Ormond, D Frey, VI Madai, A Blasimme
Plos one 18 (1), e0279088
Image-to-image generative adversarial networks for synthesizing perfusion parameter maps from DSC-MR images in cerebrovascular disease
T Kossen, VI Madai, MA Mutke, A Hennemuth, K Hildebrand, J Behland, …
Frontiers in neurology 13, 1051397
Outcome prediction in aneurysmal subarachnoid hemorrhage using admission creatinine, c-reactive protein and glucose levels compared to established clinical gradings and ML based prediction models
Anton Früh, Dietmar Frey, Adam Hilbert, Vince Istvan Madai, Peter Vajkoczy, Nora Franziska Dengler
Brain and Spine 3, 102045
The Need for AI in Healthcare
V Madai
Translational Application of Artificial Intelligence in Healthcare, 19 · Book chapter
A deep learning analysis of stroke onset time prediction and comparison to DWI-FLAIR mismatch
EMZ Akay, J Rieger, R Schöttler, J Behland, R Schymczyk, AA Khalil, …
NeuroImage: Clinical 40, 103544
Generating evidence on privacy outcomes to inform privacy risk management: A way forward?
D Strech, T Haven, VI Madai, T Meurers, F Prasser
Journal of Biomedical Informatics 137, 104257
2022 · 15 records
AI-based Prediction of Imminent Primary Stroke on Claims Data Enables Accurate Patient Stratification
A Hilbert, D Baskan, J Rieger, C Wagner, S Sehlen, A García-Rudolph, …
medRxiv, 2022.11. 20.22282517 · Preprint
The social dilemma in artificial intelligence development and why we have to solve it
I Strümke, M Slavkovik, VI Madai
AI and Ethics 2 (4), 655-665
Correction: on the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for ranking
OU Aydin, AA Taha, A Hilbert, AA Khalil, I Galinovic, JB Fiebach, D Frey, …
European Radiology Experimental 6, 56 · Correction
Anatomical labeling of intracranial arteries with deep learning in patients with cerebrovascular disease
A Hilbert, J Rieger, VI Madai, EM Akay, OU Aydin, J Behland, AA Khalil, …
Frontiers in neurology 13, 1000914
Similar admission NIHSS may represent larger tissue-at-risk in patients with right-sided versus left-sided large vessel occlusion
A Mak, C Matouk, EW Avery, J Behland, D Frey, VI Madai, P Vajkoczy, …
Journal of neurointerventional surgery 14 (10), 985-991
Assessing trustworthy AI in times of COVID-19: deep learning for predicting a multiregional score conveying the degree of lung compromise in COVID-19 patients
H Allahabadi, J Amann, I Balot, A Beretta, C Binkley, J Bozenhard, …
IEEE Transactions on Technology and Society 3 (4), 272-289
Long-term trajectories of motor functional independence after ischemic stroke in young adults: Identification and characterization using inpatient baseline assessments
A García-Rudolph, J Sauri, B Cegarra, VI Madai, D Frey, JD Kelleher, …
NeuroRehabilitation 50 (4), 453-465
You can’t have AI both ways: balancing health data privacy and access fairly
M Bak, VI Madai, MC Fritzsche, MT Mayrhofer, S McLennan
Frontiers in genetics 13, 929453
Comparing poor and favorable outcome prediction with machine learning after mechanical thrombectomy in acute ischemic stroke
MA Mutke, VI Madai, A Hilbert, E Zihni, A Potreck, CS Weyland, …
Frontiers in neurology 13, 737667
Toward sharing brain images: Differentially private TOF-MRA images with segmentation labels using generative adversarial networks
T Kossen, MA Hirzel, VI Madai, F Boenisch, A Hennemuth, K Hildebrand, …
Frontiers in artificial intelligence 5, 813842
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
B Vasey, M Nagendran, B Campbell, DA Clifton, GS Collins, S Denaxas, …
Nature medicine 28 (5), 924-933 · Reporting guideline · expert-group contribution
Contribution as a member of the DECIDE-AI expert group; not an individual byline author.
Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks
P Subramaniam, T Kossen, K Ritter, A Hennemuth, K Hildebrand, …
Medical image analysis 78, 102396
The impact of COVID-19 on home, social, and productivity integration of people with chronic traumatic brain injury or stroke living in the community
A García-Rudolph, J Saurí, B Cegarra, E Opisso, JM Tormos, D Frey, …
Medicine 101 (8), e28695
To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems
J Amann, D Vetter, SN Blomberg, HC Christensen, M Coffee, S Gerke, …
PLOS Digital Health 1 (2), e0000016
The impact of coronavirus disease 2019 on emotional and behavioral stress of informal family caregivers of individuals with stroke or traumatic brain injury at chronic phase living in a Mediterranean setting
Alejandro Garcia‐Rudolph, Joan Sauri, Alberto Garcia‐Molina, Blanca Cegarra, Eloy Opisso, Josep Maria Tormos, Dietmar Frey, Vince Istvan Madai, Montserrat Bernabeu
Brain and Behavior 12 (1), e2440
2021 · 13 records
Toward personalized web-based cognitive rehabilitation for patients with ischemic stroke: Elo rating approach
A Garcia-Rudolph, E Opisso, JM Tormos, VI Madai, D Frey, H Becerra, …
JMIR Medical Informatics 9 (11), e28090
Predictive models for independence after stroke rehabilitation: Maugeri external validation and development of a new model
A García-Rudolph, M Bernabeu, B Cegarra, J Saurí, VI Madai, D Frey, …
NeuroRehabilitation 49 (3), 415-424
Outcome prediction in aneurysmal subarachnoid hemorrhage: a comparison of machine learning methods and established clinico-radiological scores
NF Dengler, VI Madai, M Unteroberdörster, E Zihni, SC Brune, A Hilbert, …
Neurosurgical Review 44 (5), 2837-2846
Neuropsychological assessments of patients with acquired brain injury: a cluster analysis approach to address heterogeneity in web-based cognitive rehabilitation
A Garcia-Rudolph, A García-Molina, E Opisso, JM Tormos, VI Madai, …
Frontiers in Neurology 12, 701946
Artificial intelligence in healthcare: Lost in translation?
VI Madai, DC Higgins
arXiv preprint arXiv:2107.13454 · Preprint
An evaluation of performance measures for arterial brain vessel segmentation
OU Aydin, AA Taha, A Hilbert, AA Khalil, I Galinovic, JB Fiebach, D Frey, …
BMC medical imaging 21 (1), 113
Co-design of a trustworthy AI system in healthcare: deep learning based skin lesion classifier
RV Zicari, S Ahmed, J Amann, SA Braun, J Brodersen, F Bruneault, …
Frontiers in Human Dynamics 3, 688152
On assessing trustworthy AI in healthcare. Machine learning as a supportive tool to recognize cardiac arrest in emergency calls
RV Zicari, J Brusseau, SN Blomberg, HC Christensen, M Coffee, …
Frontiers in Human Dynamics 3, 673104
A precision medicine framework for personalized simulation of hemodynamics in cerebrovascular disease
D Frey, M Livne, H Leppin, EM Akay, OU Aydin, J Behland, J Sobesky, …
BioMedical Engineering OnLine 20 (1), 44
Synthesizing anonymized and labeled TOF-MRA patches for brain vessel segmentation using generative adversarial networks
T Kossen, P Subramaniam, VI Madai, A Hennemuth, K Hildebrand, …
Computers in biology and medicine 131, 104254
On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for ranking
OU Aydin, AA Taha, A Hilbert, AA Khalil, I Galinovic, JB Fiebach, D Frey, …
European radiology experimental 5 (1), 4
PREDICTioN 2020-Predictive risk-modelling, evaluation, and deployment for infarction of cerebral territories in neuroscience: Schlussbericht: Laufzeit des Vorhabens: 01.09. 2016-28.02. 2021
Dietmar Frey, Vince Madai, Tabea Kossen, Adam Hilbert
Charité-Universitätsmedizin Berlin · Project report
Hybrid modelling for stroke care: Review and suggestions of new approaches for risk assessment and simulation of scenarios
T Herrgårdh, VI Madai, JD Kelleher, R Magnusson, M Gustafsson, …
NeuroImage: Clinical 31, 102694
2020 · 6 records
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
J Amann, A Blasimme, E Vayena, D Frey, VI Madai, …
BMC medical informatics and decision making 20 (1), 310
From Bit To Bedside: A Practical Framework For Artificial Intelligence Product Development In Healthcare
D Higgins, VI Madai
Advanced Intelligent Systems · DOI: 10.1002/aisy.202000052
Opening the black box of artificial intelligence for clinical decision support: A study predicting stroke outcome
E Zihni, VI Madai, M Livne, I Galinovic, AA Khalil, JB Fiebach, D Frey
Plos one 15 (4), e0231166
Multimodal fusion strategies for outcome prediction in stroke
E Zihni, JD Kelleher, VI Madai, A Khalil, I Galinovic, J Fiebach, M Livne, …
Technological University Dublin
BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation In Patients with Cerebrovascular Disease
A Hilbert, VI Madai, EM Akay, OU Aydin, J Behland, J Sobesky, I Galinovic, …
Frontiers in Artificial Intelligence 3, 552258
Brain iron and metabolic abnormalities in C19orf12 mutation carriers: a 7.0 tesla MRI study in mitochondrial membrane protein–associated neurodegeneration
P Dusek, R Mekle, M Skowronska, J Acosta‐Cabronero, T Huelnhagen, …
Movement disorders 35 (1), 142-150
2019 · 5 records
A framework for testing different imputation methods for tabular datasets
T Kossen, M Livne, VI Madai, I Galinovic, D Frey, JB Fiebach
bioRxiv, 773762 · Preprint
Diagnostic and prognostic benefit of arterial spin labeling in subacute stroke
T Thamm, S Zweynert, SK Piper, VI Madai, M Livne, SZ Martin, CX Herzig, …
Brain and behavior 9 (5), e01271
The choice of embedding media affects image quality, tissue R2*, and susceptibility behaviors in post‐mortem brain MR microscopy at 7.0T
P Dusek, VI Madai, T Huelnhagen, E Bahn, R Matej, J Sobesky, …
Magnetic resonance in medicine 81 (4), 2688-2701
A U-Net deep learning framework for high performance vessel segmentation in patients with cerebrovascular disease
M Livne, J Rieger, OU Aydin, AA Taha, EM Akay, T Kossen, J Sobesky, …
Frontiers in neuroscience 13, 97
Data Schema Designs for Each Model
JD Kelleher, A Fatima, G Cedersund, T Herrgårdh, V Madai
PRECISE4Q deliverable D4.3 · Project deliverable
Vince Madai is credited as a contributor. Date supplied by the official deliverable; undated in Scholar.
2017 · 5 records
Brain iron accumulation in Wilson disease: a post mortem 7 Tesla MRI – histopathological study
P Dusek, E Bahn, T Litwin, K Jabłonka‐Salach, A Łuciuk, T Huelnhagen, …
Neuropathology and Applied Neurobiology 43 (6), 514-532
A PET‐Guided Framework Supports a Multiple Arterial Input Functions Approach in DSC‐MRI in Acute Stroke
M Livne, VI Madai, P Brunecker, O Zaro‐Weber, W Moeller‐Hartmann, …
Journal of Neuroimaging 27 (5), 486-492
Multiparametric model for penumbral flow prediction in acute stroke
M Livne, T Kossen, VI Madai, O Zaro-Weber, W Moeller-Hartmann, …
Stroke 48 (7), 1849-1854
Abstract WP41: A Multi-Parametric Perfusion Model Improves Assessment of Penumbral Flow in Stroke Imaging
M Livne, T Kossen, V Madai, O Zaro-Weber, W Moeller-Hartman, …
Stroke 48 (suppl_1), AWP41-AWP41 · Conference contribution
Improvements of Magnetic Resonance Imaging techniques for clinical diagnosis in cerebrovascular disease
VI Madai
Publication details not provided in Scholar
2016 · 9 records
Walsh‐ordered hadamard time‐encoded pseudocontinuous ASL (WH pCASL)
F von Samson‐Himmelstjerna, VI Madai, J Sobesky, M Guenther
Magnetic resonance in medicine 76 (6), 1814-1824
Correction for susceptibility distortions increases the performance of arterial spin labeling in patients with cerebrovascular disease
VI Madai, SZ Martin, FC von Samson‐Himmelstjerna, CX Herzig, …
Journal of Neuroimaging 26 (4), 436-444
Moyamoya vessel pathology imaged by ultra–high-field magnetic resonance imaging at 7.0 T
MDNF Dengler, MDVI Madai, MDJ Wuerfel, …
Journal of Stroke and Cerebrovascular Diseases 25 (6), 1544-1551
Clinical-radiological parameters improve the prediction of the thrombolysis time window by both MRI signal intensities and DWI-FLAIR mismatch
VI Madai, CN Wood, I Galinovic, U Grittner, SK Piper, GS Revankar, …
Cerebrovascular Diseases 42 (1-2), 57-65
Abstract WP50: MRI Biomarkers in Acute Stroke: Addition of Clinical Parameters Improves the Identification of Patients Eligible for Thrombolysis
VI Madai, CN Wood, I Galinovic, U Grittner, SK Piper, GS Revankar, …
Stroke 47 (suppl_1), AWP50-AWP50 · Conference contribution
Abstract WP51: Quantification of the Time of Flight (TOF) Angiography Signal to Predict Grade of Stenosis and Hypoperfusion
MA Mutke, VI Madai, S Martin, F von Samson-Himmelsternja, C Herzig, …
Stroke 47 (suppl_1), AWP51-AWP51 · Conference contribution
MR spectroscopy and susceptibility mapping at 7 T in mitochondrial membrane protein–associated neurodegeneration
F Schubert, R Mekle, T Huehlnhagen, S Robinson, B Ittermann, …
ISMRM Workshop on Ultra High Field MRI: Technological Advances & Clinical … · Conference contribution
Using Proton MR Spectroscopy and Quantitative Susceptibility Mapping (QSM) at 7 Tesla to Decipher Mitochondrial Membrane Protein–Associated Neurodegeneration (MPAN)
R Mekle, F Schubert, T Niendorf, T Huelnhagen, A Else, SD Robinson, …
Proc. Intl. Soc. Mag. Reson. Med 24, 4016 · Conference contribution
Improved magnetic dipole kernel for reconstruction methods in quantitative susceptibility mapping
C Milovic, JM Pinto, J Acosta-Cabronero, P Dusek, VI Madai, …
Proceedings of the 24th Annual Meeting of ISMRM, Singapore, 2843 · Conference contribution
2015 · 9 records
Ultrahigh-field MPRAGE magnetic resonance angiography at 7.0 T in patients with cerebrovascular disease
VI Madai, FC von Samson-Himmelstjerna, N Sandow, F Weiler, M Bauer, …
European Journal of Radiology 84 (12), 2613-2617
Comparison of the 2 most popular deconvolution techniques for the detection of penumbral flow in acute stroke
O Zaro-Weber, M Livne, SZ Martin, FC von Samson-Himmelstjerna, …
Stroke 46 (10), 2795-2799
Improving perfusion quantification in arterial spin labeling for delayed arrival times by using optimized acquisition schemes
J Kramme, J Gregori, V Diehl, VI Madai, FC von Samson-Himmelstjerna, …
Zeitschrift für Medizinische Physik 25 (3), 221-229
Clinical confounders modify performance of imaging biomarkers of lesion age in acute stroke
VI Madai, CN Wood, I Galinovic, U Grittner, GS Revankar, SZ Martin, …
INTERNATIONAL JOURNAL OF STROKE 10, 62-62
Is perfusion-weighted imaging penumbral flow detection dependent on the deconvolution method? A validation with 15o-water positron emission tomography
OZ Weber, M Livne, SZ Martin, FC von Samson-Himmelstjerna, …
INTERNATIONAL JOURNAL OF STROKE 10, 326-326
Cluster-based arterial input functions improve penumbral flow detection in acute stroke
M Livne, P Brunecker, VI Madai, O Zaro-Weber, W Moeller-Hartmann, …
INTERNATIONAL JOURNAL OF STROKE 10, 318-318
3D GRASE pulsed arterial spin labeling at multiple inflow times in patients with long arterial transit times: comparison with dynamic susceptibility-weighted contrast-enhanced MRI at 3 Tesla
Steve Z Martin, Vince I Madai, Federico C von Samson-Himmelstjerna, Matthias A Mutke, Miriam Bauer, Cornelius X Herzig, Stefan Hetzer, Matthias Günther, Jan Sobesky
Journal of Cerebral Blood Flow & Metabolism 35 (3), 392-401
Brain iron accumulation in Wilson disease: a pilot 7T MR-histopathology correlation study
P Dusek, E Bahn, T Litwin, C Wegner, VI Madai, M Dieringer, …
Proc. Intl. Soc. Mag. Reson. Med 23, 2197 · Conference contribution
The Influence of Clinical Confounders on Imaging Biomarkers of Lesion Age in Acute Stroke
VI Madai, CN Wood, I Galinovic, U Grittner, GS Revankar, SZ Martin, …
ISMRM 2015, abstract 2185 · Conference abstract
Year and venue supplied by the original conference record; undated in Scholar.
2014 · 10 records
7‐Tesla Magnetic Resonance Imaging for Brain Iron Quantification in Homozygous and Heterozygous PANK2 Mutation Carriers
P Dusek, EM Tovar Martinez, VI Madai, R Jech, J Sobesky, F Paul, …
Movement disorders clinical practice 1 (4), 329-335
Ultrahochfeld-MRT im Kontext neurologischer Erkrankungen [Ultrahigh field MRI in context of neurological diseases]
J Kuchling, T Sinnecker, I Bozin, J Dörr, VI Madai, J Sobesky, T Niendorf, …
Nervenarzt 85 (4), 445-458
DWI intensity values predict FLAIR lesions in acute ischemic stroke
VI Madai, I Galinovic, U Grittner, O Zaro-Weber, A Schneider, SZ Martin, …
PLoS One 9 (3), e92295
Rapid parametric mapping of the longitudinal relaxation time T1 using two-dimensional variable flip angle magnetic resonance imaging at 1.5 Tesla, 3 Tesla, and 7 Tesla
Matthias A Dieringer, Michael Deimling, Davide Santoro, Jens Wuerfel, Vince I Madai, Jan Sobesky, Florian von Knobelsdorff-Brenkenhoff, Jeanette Schulz-Menger, Thoralf Niendorf
PLoS One 9 (3), e91318
Clinical evaluation of an arterial-spin-labeling product sequence in steno-occlusive disease of the brain
MA Mutke, VI Madai, FC von Samson-Himmelstjerna, O Zaro Weber, …
PLoS One 9 (2), e87143
Comparison of MPRAGE-and TOF-angiography in patients with cerebrovascular disease-a 3 Tesla and 7 Tesla comparison study
VI Madai, FC von Samson-Himmelstjerna, F Weiler, N Sandow, …
Karger
Non-invasive measurement of brain perfusion in steno-occlusive diseases using arterial spin labeling: clinical evaluation
J Sobesky, SZ Martin, M Mutke, VI Madai, FS Himmelsstjema, S Hetzer, …
CEREBROVASCULAR DISEASES 37, 83-83
Effect of embedding media on post-mortem MRI of formalin-fixed brain tissue at 7.0 T
P Dusek, VI Madai, M Dieringer, F Hezel, T Niendorf, J Sobesky, R Matej, …
Proc Intl Soc Mag Reson Med 22, 1418
DWI intensity values for the prediction of time from stroke onset in acute stroke
VI Madai, SZ Martin, OZ Weber, W Moeller-Hartmann, WD Heiss, …
European journal of neurology
Depiction of vessel pathology in stroke imaging at 7.0 T using non-contrast MPRAGE
VI Madai, FC von Samson-Himmelstjerna, F Weiler, N Sandow, M Gnther, …
ISMRM 2014, abstract 2039 · Conference abstract
Year and venue supplied by the original conference record; undated in Scholar.
2013 · 4 records
Arginase and arginine decarboxylase–where do the putative gate keepers of polyamine synthesis reside in rat brain?
D Peters, J Berger, K Langnaese, C Derst, VI Madai, M Krauss, …
PLoS One 8 (6), e66735
A glutamatergic projection from the lateral hypothalamus targets VTA-projecting neurons in the lateral habenula of the rat
WC Poller, VI Madai, R Bernard, G Laube, RW Veh
Brain research 1507, 45-60
Arterial spin labeling for hypoperfusion assessment in steno-occlusive disease: benefit of new approaches using transit delay adjustment
S Martin, F Samson, VI Madai, M Mutke, O Zaro-Weber, S Hetzer, …
CEREBROVASCULAR DISEASES 35, 231-232
Arterial spin labeling for hypoperfusion assessment in steno-occlusive disease: application of a current scanner based imaging protocol
MA Mutke, VI Madai, FC von Samson-Himmelstjerna, O Zaro-Weber, …
CEREBROVASCULAR DISEASES 35, 236-236
2012 · 3 records
Synaptic localisation of agmatinase in rat cerebral cortex revealed by virtual pre-embedding
VI Madai, WC Poller, D Peters, J Berger, K Paliege, R Bernard, RW Veh, …
Amino Acids 43 (3), 1399-1403
Ultrahigh-field MRI in human ischemic stroke–a 7 tesla study
VI Madai, FC von Samson-Himmelstjerna, M Bauer, KL Stengl, MA Mutke, …
PLoS One 7 (5), e37631
Virtual pre-embedding labeling: a method for correlative fluorescence and electron microscopic imaging and double-labeling in the central nervous system of the rat
VI Madai
Publication details not provided in Scholar
2011 · 2 records
Lateral habenular neurons projecting to reward-processing monoaminergic nuclei express hyperpolarization-activated cyclic nucleotid-gated cation channels
WC Poller, R Bernard, C Derst, T Weiss, VI Madai, RW Veh
Neuroscience 193, 205-216
Crossed cerebellar diaschisis after stroke: can perfusion-weighted MRI show functional inactivation?
VI Madai, A Altaner, KL Stengl, O Zaro-Weber, WD Heiss, …
Journal of Cerebral Blood Flow & Metabolism 31 (6), 1493-1500
2010 · 1 record
Glutamatergic axons from the lateral habenula mainly terminate on GABAergic neurons of the ventral midbrain
K Brinschwitz, A Dittgen, VI Madai, R Lommel, S Geisler, RW Veh
Neuroscience 168 (2), 463-476
Record with unconfirmed date
High Spatial Resolution MR Imaging of the Carotid Arteries at 7.0 T Using an 8 Channel Transceiver Coil Array
A Ok, J Rieger, A Grl, VI Madai, J Sobesky, T Niendorf
Publication details not provided in Scholar
Source records for review
Nine additional Scholar entries · duplicates and indexing issues
Retained here for a transparent record of the source import. They are not presented as additional distinct publications. No changes have been made to the Scholar profile.
Machine Learning–Based Identification of Target Groups for Thrombectomy in Acute
F Quandt, F Flottmann, VI Madai
Translational Stroke Research, 14 (3)
Truncated duplicate candidate of the complete 2023 thrombectomy article listed above.
Toward Personalized Web-Based Cognitive Rehabilitation for Patients With Ischemic Stroke
A Garcia-Rudolph, E Opisso, JM Tormos, VI Madai, D Frey, H Becerra, …
Publication details not provided in Scholar
Shortened duplicate candidate of the 2021 JMIR cognitive rehabilitation article.
Albrecht-Zölch, Janet, Testdaten und Testdatenmanagement. Vorgehen, Methoden und Praxis, Heidelberg 2018. Alexanderson, Bengt, Die hippokratische Schrift Prognostikon …
M Al-Rubaie, JM Chang, J Amann, A Blasimme, E Vayena, D Frey, …
BMC Medical Informatics and Decision Making 20, 310-319
Bibliography extraction artifact; not treated as an authored publication.
Expectations and Attitudes Towards Medical Artificial Intelligence
J Amann, E Vayena, KE Ormond, D Frey, VI Madai, A Blasimme
PLoS ONE 18
Shortened, undated duplicate candidate of the 2023 PLOS ONE qualitative stroke study.
Effect of embedding media on post-mortem MRI of formalin-fixed brain tissue at 7.0 T
T Huelnhagen, V Madai
Publication details not provided in Scholar
Duplicate of the 2014 ISMRM abstract; the source record has an incomplete author list.
consortium (2020). Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
J Amann, A Blasimme, E Vayena, D Frey, VI Madai, Q Precise
BMC Med Inform Decis Mak 20, 310
Duplicate citation fragment of the 2020 explainability article.
A Precision Medicine Framework for Personalized Simulation of Hemodynamics in
D Frey, M Livne, H Leppin, EM Akay, OU Aydin, J Behland, J Sobesky, …
AcomA 3, 0.74
Incomplete duplicate candidate of the 2021 hemodynamics framework article, with inconsistent venue metadata.
BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation In
A Hilbert, VI Madai, EM Akay, OU Aydin, J Behland, J Sobesky
Stroke 49, 2108-2115
Incomplete BRAVE-NET record with inconsistent venue metadata; the full 2020 article is listed above.
BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation in Patients With Cerebrovascular
A Hilbert, VI Madai, EM Akay, OU Aydin, J Behland, J Sobesky, I Galinovic, …
Publication details not provided in Scholar
Truncated duplicate candidate of the 2020 BRAVE-NET article.