Charité Lab for Artificial Intelligence in Medicine (CLAIM) 

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Publikationen

Ausgewählte Publikationen aus unterschiedlichen Projekten von CLAIM finden Sie hier. 

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Publikationen

2023

  • Kossen, Tabea, Vince I. Madai, Felix Lohrke, Orhun Utku Aydin, Jonas Behland, Adam Hilbert, Matthias A. Mutke, Martin Bendszus, Jan Sobesky, and Dietmar Frey. “Redefining Hemodynamic Imaging in Stroke: Perfusion Parameter Map Generation from TOF-MRA Using Artificial Intelligence.” medRxiv, August 24, 2023. https://doi.org/10.1101/2023.08.22.23294405.
  • Früh, Anton, Dietmar Frey, Adam Hilbert, Vince Istvan Madai, Peter Vajkoczy, and Nora Franziska Dengler. “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.” Brain and Spine, Abstracts of the EANS2023, 3 (January 1, 2023): 102045. https://doi.org/10.1016/j.bas.2023.102045.
  • Behland, Jonas, Vince I. Madai, Orhun U. Aydin, Ela M. Akay, Tabea Kossen, Adam Hilbert, Jan Sobesky, Peter Vajkoczy, and Dietmar Frey. “Personalised Simulation of Hemodynamics in Cerebrovascular Disease: Lessons Learned from a Study of Diagnostic Accuracy.” Frontiers in Neurology 14 (2023). https://doi.org/10.3389/fneur.2023.1230402
  • Frey, Dietmar, Adam Hilbert, Anton Früh, Vince Istvan Madai, Tabea Kossen, Julia Kiewitz, Jenny Sommerfeld, Peter Vajkoczy, Meike Unteroberdörster, Esra Zihni, Sophie Charlotte Brune, Stefan Wolf, Nora Franziska Dengler. “Enhancing the Prediction for Shunt-Dependent Hydrocephalus after Aneurysmal Subarachnoid Hemorrhage Using a Machine Learning Approach.” Neurosurgical Review 46, no. 1 (August 19, 2023): 206. https://doi.org/10.1007/s10143-023-02114-0.
  • Akay, Ela Marie Z., Adam Hilbert, Benjamin G. Carlisle, Vince I. Madai, Matthias A. Mutke, and Dietmar Frey. “Artificial Intelligence for Clinical Decision Support in Acute Ischemic Stroke: A Systematic Review.” Stroke 54, no. 6 (June 2023): 1505–16. https://doi.org/10.1161/STROKEAHA.122.041442.
  • Kossen Tabea, Vince I. Madai, Matthias A. Mutke, Anja Hennemuth, Kristian Hildebrand,  Jonas Behland, Cagdas Aslan, Adam Hilbert, Jan Sobesky, Martin Bendszus and Dietmar Frey “Image-to-image generative adversarial networks for synthesizing perfusion parameter maps from DSC-MR images in cerebrovascular disease.” Frontiers in Neurology (2023) 13:1051397.  https://doi.org/10.3389/fneur.2022.1051397
  • García-Rudolph, Alejandro, David Sanchez-Pinsach, Dietmar Frey, Eloy Opisso, Katryna Cisek, and John D. Kelleher. “Know an Emotion by the Company It Keeps: Word Embeddings from Reddit/Coronavirus.” Applied Sciences 13, no. 11 (January 2023): 6713.https://doi.org/10.3390/app13116713.
  • García-Rudolph, Alejandro, Ignasi Soriano, Helard Becerra, Vince Istvan Madai, Dietmar Frey, Eloy Opisso, Josep María Tormos, and Montserrat Bernabeu. “Predicting Models for Arm Impairment: External Validation of the Scandinavian Models and Identification of New Predictors in Post-Acute Stroke Settings.” NeuroRehabilitation 53, no. 1 (January 1, 2023): 91–104. https://doi.org/10.3233/NRE-220233.
  • Garcia-Rudolph, Alejandro, Joan Sauri, Katryna Cisek, John D. Kelleher, Vince Istvan Madai, Dietmar Frey, Eloy Opisso, Josep María Tormos, and Montserrat Bernabeu. “Long-Term Trajectories of Community Integration: Identification, Characterization, and Prediction Using Inpatient Rehabilitation Variables.” Topics in Stroke Rehabilitation 30, no. 7 (October 3, 2023): 714–26. https://doi.org/10.1080/10749357.2023.2188756.
  • Rockenschaub, Patrick, Adam Hilbert, Tabea Kossen, Falk von Dincklage, Vince Istvan Madai, and Dietmar Frey. “From Single-Hospital to Multi-Centre Applications: Enhancing the Generalisability of Deep Learning Models for Adverse Event Prediction in the ICU.” arXiv, April 7, 2023. https://doi.org/10.48550/arXiv.2303.15354.
  • Amann, Julia, Effy Vayena, Kelly E. Ormond, Dietmar Frey, Vince I. Madai, and Alessandro Blasimme. “Expectations and Attitudes towards Medical Artificial Intelligence: A Qualitative Study in the Field of Stroke.” PLOS ONE 18, no. 1 (January 11, 2023): e0279088. https://doi.org/10.1371/journal.pone.0279088.

2022

  • Mak, Adrian, Charles Matouk, Emily W. Avery, Jonas Behland, Dietmar Frey, Vince Istvan Madai, Peter Vajkoczy, et al. “Similar Admission NIHSS May Represent Larger Tissue-at-Risk in Patients with Right-Sided versus Left-Sided Large Vessel Occlusion.” Journal of Neurointerventional Surgery 14, no. 10 (October 2022): 985–91. https://doi.org/10.1136/neurintsurg-2021-017785.
  • Hilbert, Adam, Jana Rieger, Vince I. Madai, Ela M. Akay, Orhun U. Aydin, Jonas Behland, Ahmed A. Khalil, Ivana Galinovic, Jan Sobesky, Jochen Fiebach, Michelle Livne, Dietmar Frey. “Anatomical Labeling of Intracranial Arteries with Deep Learning in Patients with Cerebrovascular Disease.” Frontiers in Neurology 13 (2022). https://doi.org/10.3389/fneur.2022.1000914
  • Quandt, Fanny, Fabian Flottmann, Vince I. Madai, Anna Alegiani, Clemens Küpper, Lars Kellert, Adam Hilbert, Dietmar Frey, Thomas Liebig, Jens Fiehler, Mayank Goyal, Jeffrey L.Saver, Christian Gerloff, Götz Thomalla, Steffen Tiedt. “Machine Learning–Based Identification of Target Groups for Thrombectomy in Acute Stroke.” Translational Stroke Research, June 7, 2022. https://doi.org/10.1007/s12975-022-01040-5.
  • Hilbert, Adam, Ela M. Akay, Benjamin G. Carlisle, Vince I. Madai, Matthias A. Mutke, and Dietmar Frey. “Artificial Intelligence for Clinical Decision Support in Acute Ischemic Stroke Care: A Systematic Review.” Preprint. In Review, June 3, 2022. https://doi.org/10.21203/rs.3.rs-1706474/v3.
  • Subramaniam, Pooja, Tabea Kossen, Kerstin Ritter, Anja Hennemuth, Kristian Hildebrand, Adam Hilbert, Jan Sobesky, Michelle Livne, Ivana Galinovic, Ahmed A. Khalil, Jochen B. Fiebach, Dietmar Frey and Vince I. Madai. “Generating 3D TOF-MRA Volumes and Segmentation Labels Using Generative Adversarial Networks.” Medical Image Analysis 78 (May 1, 2022): 102396. https://doi.org/10.1016/j.media.2022.102396.
  • García-Rudolph, Alejandro, Joan Saurí, Blanca Cegarra, Eloy Opisso, Josep María Tormos, Dietmar Frey, Vince Istvan Madai, and Montserrat Bernabeu. “The Impact of COVID-19 on Home, Social, and Productivity Integration of People with Chronic Traumatic Brain Injury or Stroke Living in the Community.” Medicine 101, no. 8 (February 25, 2022): e28695. https://doi.org/10.1097/MD.0000000000028695.
  • García-Rudolph, Alejandro, Joan Saurí, Blanca Cegarra, Vince Istvan Madai, Dietmar Frey, John D. Kelleher, Katryna Cisek, Eloy Opisso, Josep María Tormos, and Montserrat Bernabeu. “Long-Term Trajectories of Motor Functional Independence after Ischemic Stroke in Young Adults: Identification and Characterization Using Inpatient Baseline Assessments.” NeuroRehabilitation, no. Preprint (2022): 1–13.
  • Mutke, Matthias A., Vince I. Madai, Adam Hilbert, Esra Zihni, Arne Potreck, Charlotte S. Weyland, Markus A. Möhlenbruch, Sabine Heiland, Peter A. Ringleb, Simon Nagel, Martin Bendszus and Dietmar Frey. “Comparing Poor and Favorable Outcome Prediction With Machine Learning After Mechanical Thrombectomy in Acute Ischemic Stroke.” Frontiers in Neurology 13 (May 27, 2022): 737667. https://doi.org/10.3389/fneur.2022.737667.
  • Kossen, Tabea, Manuel A. Hirzel, Vince I. Madai, Franziska Boenisch, Anja Hennemuth, Kristian Hildebrand, Sebastian Pokutta,Kartikey Sharma, Adam Hilbert, Jan Sobesky, Ivana Galinovic, Ahmed A. Khalil, Jochen B. Fiebach and Dietmar Frey. “Toward Sharing Brain Images: Differentially Private TOF-MRA Images With Segmentation Labels Using Generative Adversarial Networks.” Frontiers in Artificial Intelligence 5 (May 2, 2022): 813842. https://doi.org/10.3389/frai.2022.813842.
  • Garcia-Rudolph, Alejandro, Joan Sauri, Alberto Garcia-Molina, Blanca Cegarra, Eloy Opisso, Josep Maria Tormos, Dietmar Frey, Vince Istvan Madai, and Montserrat Bernabeu. “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.” Brain and Behavior 12, no. 1 (2022): e2440. https://doi.org/10.1002/brb3.2440.

2021

  • García-Rudolph A, García-Molina A, Opisso E, Tormos JM, Madai VI, Frey D and Bernabeu M. Neuropsychological Assessments of Patients With Acquired Brain Injury: A Cluster Analysis Approach to Address Heterogeneity in Web-Based Cognitive Rehabilitation. Front Neurol. 2021;12:1288. Available from: https://doi.org/10.3389/fneur.2021.701946
  • Aydin OU, Taha AA, Hilbert A, Khalil AA, Galinovic I, Fiebach JB, Frey D and Madai VI. An evaluation of performance measures for arterial brain vessel segmentation. BMC Med Imaging. 2021 Jul 16;21(1):113. Available from: https://doi.org/10.1186/s12880-021-00644-x
  • Zicari RV, Ahmed S, Amann J, Braun SA, Brodersen J, Bruneault F, et al. Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier. Front Hum Dyn. 2021;3:40. Available from: https://doi.org/10.3389/fhumd.2021.688152
  • Zicari RV, Brusseau J, Blomberg SN, Christensen HC, Coffee M, Ganapini MB, et al. On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls. Front Hum Dyn. 2021;3:30. Available from: https://doi.org/10.3389/fhumd.2021.673104
  • Herrgårdh T, Madai VI, Kelleher JD, Magnusson R, Gustafsson M, Milani L, Gennemark P and Cedersund G. Hybrid modelling for stroke care: Review and suggestions of new approaches for risk assessment and simulation of scenarios. NeuroImage Clin. 2021 Jan 1;31:102694. Available from: https://doi.org/10.1016/j.nicl.2021.102694
  • Frey D, Livne M, Leppin H, Akay EM, Aydin OU, Behland J, Sobesky J, Vajkoczy P and Madai VI. A precision medicine framework for personalized simulation of hemodynamics in cerebrovascular disease. Biomed Eng OnLine. 2021 May 1;20(1). Available from: https://doi.org/10.1186/s12938-021-00880-w
  • Ivantsits M, Goubergrits L, Kuhnigk J-M, Huellebrand M, Brüning J, Kossen T, Pfahringer B, Schaller J, Spuler A, Kuehne T, Hennemuth A. Cerebral Aneurysm Detection and Analysis Challenge 2020 (CADA). In: Hennemuth A, Goubergrits L, Ivantsits M, Kuhnigk J-M, editors. Cerebral Aneurysm Detection and Analysis. Cham: Springer International Publishing; 2021. p. 3–17. (Lecture Notes in Computer Science). Available from: https://doi.org/10.1007/978-3-030-72862-5
  • Kossen T, Subramaniam P, Madai VI, Hennemuth A, Hildebrand K, Hilbert A, Sobesky J, Livne M, Galinovic I, Khalil AA, Fiebach JB and Frey D. Synthesizing anonymized and labeled TOF-MRA patches for brain vessel segmentation using generative adversarial networks. Comput Biol Med. 2021 Apr 1;131:104254. Available from: https://doi.org/10.1016/j.compbiomed.2021.104254
  • Aydin OU, Taha AA, Hilbert A, Khalil AA, Galinovic I, Fiebach JB, Frey D and Madai VI.  On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for ranking. Eur Radiol Exp. 2021 Jan 21;5(1):4. Available from: https://doi.org/10.1186/s41747-020-00200-2
  • Dengler NF, Madai VI, Unteroberdörster M, Zihni E, Brune SC, Hilbert A, Livne M, Wolf S, Vajkoczy P, and Frey D. Outcome prediction in aneurysmal subarachnoid hemorrhage: a comparison of machine learning methods and established clinico-radiological scores. Neurosurg Rev. 2021 Jan 20; Available from: https://doi.org/10.1007/s10143-020-01453-6

2020

  • Amann J, Blasimme A, Vayena E, Frey D, Madai VI, the Precise4Q consortium. Explainability for artificial intelligence in healthcare: a multidisciplinary perspective. BMC Med Inform Decis Mak. 2020 Nov 30;20(1):310. Available from: https://doi.org/10.1186/s12911-020-01332-6
  • Zihni E, Madai V, Khalil A, Galinovic I, Fiebach J, Kelleher J, Frey D and Livne M. Multimodal Fusion Strategies for Outcome Prediction in Stroke. Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies. 2020; Available from: https://doi.org/10.5220/0008957304210428 
  • Hilbert A, Madai VI, Akay EM, Aydin OU, Behland J, Sobesky J,  Galinovic I, Khalil A, Taha AA, Wuerfel J, Dusek P, Niendorf T, Fiebach JB, Frey D and Livne M. BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation In Patients with Cerebrovascular Disease. Front Artif Intell. 2020;3. Available from: https://doi.org/10.3389/frai.2020.552258
  • Higgins D, Madai VI. From Bit to Bedside: A Practical Framework for Artificial Intelligence Product Development in Healthcare. Adv Intell Syst. 2020;2(10):2000052.Available from: https://doi.org/10.1002/aisy.202000052
  • Zihni E, Madai VI, Livne M, Galinovic I, Khalil AA, Fiebach JB, and Frey D. Opening the black box of artificial intelligence for clinical decision support: A study predicting stroke outcome. PLOS ONE. 2020;15(4):e0231166. Available from: https://doi.org/10.1371/journal.pone.0231166

2019

  • Livne M, Rieger J, Aydin OU, Taha AA, Akay EM, Kossen T, Sobesky J, Kelleher JD, Hildebrand K, Frey D and Madai VI. A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease. Front Neurosci. 2019;13. Available from: https://doi.org/10.3389/fnins.2019.00097