Quantitative healthcare analysis (qurAI)

QurAI is an interfaculty group embedded in the Faculties of Medicine (Department of Biomedical Engineering and Physics) and Science (Institute of Informatics) of the University of Amsterdam. Our mission is to enhance patient care by designing and enabling leading edge AI technologies in healthcare.
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Real-time placental vessel segmentation in fetoscopic laser surgery for Twin-to-Twin Transfusion Syndrome
Płotka, S., Szczepański, T., Szenejko, P., Korzeniowski, P., Calvo, J. R., Khalil, A., Shamshirsaz, A., Brawura-Biskupski-Samaha, R., Išgum, I., Sánchez, C. I. & Sitek, A., 1 Jan 2025, In: Medical image analysis. 99, 103330.Research output: Contribution to journal › Article › Academic › peer-review
Competing risk analysis of cardiovascular disease risk in breast cancer patients receiving a radiation boost
Koop, Y., Atsma, F., Batenburg, M. C. T., Meijer, H., van der Leij, F., Gal, R., van Velzen, S. G. M., Išgum, I., Vermeulen, H., Maas, A. H. E. M., Messaoudi, S. E. & Verkooijen, H. M., 1 Dec 2024, In: Cardio-oncology (London, England). 10, 1, 7.Research output: Contribution to journal › Article › Academic › peer-review
Assessing the documentation of publicly available medical image and signal datasets and their impact on bias using the BEAMRAD tool
Galanty, M., Luitse, D., Noteboom, S. H., Croon, P., Vlaar, A. P., Poell, T., Sanchez, C. I., Blanke, T. & Išgum, I., 1 Dec 2024, In: Scientific reports. 14, 1, 31846.Research output: Contribution to journal › Article › Academic › peer-review
The Role of Coronary Computed Tomography Angiography in the Diagnosis, Risk Stratification, and Management of Patients with Diabetes and Chest Pain
van de Vijver, W. R., Hennecken, J., Lagogiannis, I., del Villar, C. P. R., Herrera, C., Douek, P. C., Segev, A., Hovingh, G. K., Išgum, I., Winter, M. M., Planken, R. N. & Claessen, B. E. P. M., 1 Dec 2024, In: Reviews in cardiovascular medicine. 25, 12, 442.Research output: Contribution to journal › Review article › Academic › peer-review
ATOMMIC: An Advanced Toolbox for Multitask Medical Imaging Consistency to facilitate Artificial Intelligence applications from acquisition to analysis in Magnetic Resonance Imaging
Karkalousos, D., Išgum, I., Marquering, H. A. & Caan, M. W. A., 1 Nov 2024, In: Computer methods and programs in biomedicine. 256, 108377.Research output: Contribution to journal › Article › Academic › peer-review
The role of artificial intelligence in coronary CT angiography
van Herten, R. L. M., Lagogiannis, I., Leiner, T. & Išgum, I., Nov 2024, In: Netherlands heart journal. 32, 11, p. 417-425 9 p.Research output: Contribution to journal › Review article › Academic › peer-review
Artificial intelligence and machine learning for cardiovascular computed tomography (CCT): A white paper of the society of cardiovascular computed tomography (SCCT)
Williams, M. C., Weir-McCall, J. R., Baldassarre, L. A., de Cecco, C. N., Choi, A. D., Dey, D., Dweck, M. R., Isgum, I., Kolossvary, M. R., Leipsic, J., Lin, A., Lu, M. T., Motwani, M., Nieman, K., Shaw, L., van Assen, M. & Nicol, E., 1 Nov 2024, In: Journal of cardiovascular computed tomography. 18, 6, p. 519-532 14 p.Research output: Contribution to journal › Article › Academic › peer-review
Low muscle quality on a procedural computed tomography scan assessed with deep learning as a practical useful predictor of mortality in patients with severe aortic valve stenosis
van Erck, D., Moeskops, P., Schoufour, J. D., Weijs, P. J. M., Scholte op Reimer, W. J. M., van Mourik, M. S., Planken, R. N., Vis, M. M., Baan, J., Išgum, I., Henriques, J. P., de Vos, B. D. & Delewi, R., 1 Oct 2024, In: Clinical nutrition ESPEN. 63, p. 142-147 6 p.Research output: Contribution to journal › Article › Academic › peer-review
The prognostic value of visual and automatic coronary calcium scoring from low-dose computed tomography-[15O]-water positron emission tomography
Dobrolinska, M. M., Jukema, R. A., van Velzen, S. G. M., van Diemen, P. A., Greuter, M. J. W., Prakken, N. H. J., van der Werf, N. R., Raijmakers, P. G., Slart, R. H. J. A., Knaapen, P., Isgum, I. & Danad, I., 1 Sept 2024, In: European heart journal cardiovascular Imaging. 25, 9, p. 1186-1196 11 p.Research output: Contribution to journal › Article › Academic › peer-review
Automated echocardiography view classification and quality assessment with recognition of unknown views
Jansen, G. E., de Vos, B. D., Molenaar, M. A., Schuuring, M. J., Bouma, B. J. & Išgum, I., 1 Sept 2024, In: Journal of Medical Imaging. 11, 5, p. 54002 1 p.Research output: Contribution to journal › Article › Academic › peer-review
Graph neural networks for automatic extraction and labeling of the coronary artery tree in CT angiography
Hampe, N., van Velzen, S. G. M., Wolterink, J. M., Collet, C., Henriques, J. P. S., Planken, N. & Išgum, I., 1 May 2024, In: Journal of Medical Imaging. 11, 3, 034001.Research output: Contribution to journal › Article › Academic › peer-review
Deep Learning-Based Prediction of Fractional Flow Reserve after Invasive Coronary Artery Treatment
Hampe, N., van Velzen, S. G. M., Aben, J. P., van Herten, R. L. M., Collet, C. & Išgum, I., Apr 2024, Medical Imaging 2024: Image Processing. Colliot, O. & Mitra, J. (eds.). SPIE, 129260D. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12926).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Inter-vendor harmonization of CT reconstruction kernels using unpaired image translation
Krishnan, A. R., Xu, K., Li, T., Gao, C., Remedios, L. W., Kanakaraj, P., Lee, H. H., Bao, S., Sandler, K. L., Maldonado, F., Išgum, I. & Landman, B. A., Feb 2024, In: Proceedings of SPIE. 12926Research output: Contribution to journal › Article › Academic
Quantitative Analysis of Small Intestinal Motility in 3D Cine-MRI Using Centerline-Aware Motion Estimation
van Harten, L. D., de Jonge, C. S., Struik, F., Stoker, J. & Išgum, I., 2024, (E-pub ahead of print) In: Journal of magnetic resonance imaging.Research output: Contribution to journal › Article › Academic › peer-review
Roadmap on the use of artificial intelligence for imaging of vulnerable atherosclerotic plaque in coronary arteries
Föllmer, B., Williams, M. C., Dey, D., Arbab-Zadeh, A., Maurovich-Horvat, P. L., Volleberg, R. H. J. A., Rueckert, D., Schnabel, J. A., Newby, D. E., Dweck, M. R., Guagliumi, G., Falk, V., Vázquez Mézquita, A. J., Biavati, F., Išgum, I. & Dewey, M., Jan 2024, In: Nature Reviews Cardiology. 21, 1, p. 51-64 14 p.Research output: Contribution to journal › Article › Academic › peer-review
Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy
Alvarez-Florez, L., Sander, J. R., Bourfiss, M., Tjong, F. V. Y., Velthuis, B. K. & Išgum, I., 2024, Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers - 14th International Workshop, STACOM 2023, Held in Conjunction with MICCAI 2023, Revised Selected Papers. Camara, O., Puyol-Antón, E., Suinesiaputra, A., Young, A., Sermesant, M., Tao, Q. & Wang, C. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 14507 LNCS. p. 25-34 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14507 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Dynamic prediction of malignant ventricular arrhythmias using neural networks in patients with an implantable cardioverter-defibrillator
Kolk, M. Z. H., Ruipérez-Campillo, S., Alvarez-Florez, L., Deb, B., Bekkers, E. J., Allaart, C. P., van der Lingen, A.-L. C. J., Clopton, P., Išgum, I., Wilde, A. A. M., Knops, R. E., Narayan, S. M. & Tjong, F. V. Y., 1 Jan 2024, In: EBioMedicine. 99, 104937.Research output: Contribution to journal › Article › Academic › peer-review
Evaluation of Mean Shift, ComBat, and CycleGAN for Harmonizing Brain Connectivity Matrices Across Sites
BIOCARD Study Team, Jan 2024, In: Proceedings of SPIE. 12926Research output: Contribution to journal › Article › Academic
Deep learning for estimation of fetal weight throughout the pregnancy from fetal abdominal ultrasound
Płotka, S. S., Grzeszczyk, M. K., Szenejko, P. I., Żebrowska, K., Szymecka-Samaha, N. A., Łęgowik, T., Lipa, M. A., Kosińska-Kaczyńska, K., Brawura-Biskupski-Samaha, R., Išgum, I., Sánchez, C. I. & Sitek, A., 1 Dec 2023, In: American journal of obstetrics & gynecology MFM. 5, 12, 101182.Research output: Contribution to journal › Article › Academic › peer-review
BabyNet++: Fetal birth weight prediction using biometry multimodal data acquired less than 24 hours before delivery
Płotka, S., Grzeszczyk, M. K., Brawura-Biskupski-Samaha, R., Gutaj, P., Lipa, M., Trzciński, T., Išgum, I., Sánchez, C. I. & Sitek, A., 1 Dec 2023, In: Computers in biology and medicine. 167, 107602.Research output: Contribution to journal › Article › Academic › peer-review