qurAI

Our PUBLICATIONS

journal articles

4TOTAL RESOURCES
L. D. Van Harten, J. Stoker; I. Išgum, "Robust deformable image registration using cycle-consistent implicit representations", IEEE Transactions on Medical Imaging, 2024; 43 (2): 784-793.
J.M.H. Noothout, N. Lessmann, M.C. van Eede, L.D. van Harten, E. Sogancioglu, F.G. Heslinga, M. Veta, B. van Ginneken, I. Išgum, "Knowledge distillation with ensembles of convolutional neural networks for medical image segmentation", Journal of Medical Imaging, 2022; 9 (5): 1-20.
L.D. van Harten, C.S. de Jonge, K.J. Beek, J. Stoker, I. Isgum, "Untangling and segmenting the small intestine in 3D cine-MRI using deep learning", Medical Image Analysis, 2022; 78: 102386.
N. Lessmann, C. I. Sánchez, L. Beenen, L. H. Boulogne, M. Brink, E. Calli, J. Charbonnier, T. Dofferhoff, W. M. van Everdingen, P. K. Gerke, B. Geurts, H. A. Gietema, M. Groeneveld, L. van Harten, N. Hendrix, W. Hendrix, H. J. Huisman, I. Isgum, C. Jacobs, R. Kluge, M. Kok, J. Krdzalic, B. Lassen-Schmidt, K. van Leeuwen, J. Meakin, M. Overkamp, T. van Rees Vellinga, E. M. van Rikxoort, R. Samperna, C. Schaefer-Prokop, S. Schalekamp, E. T. Scholten, C. Sital, L. Stöger, J. Teuwen, K. Vaidhya Venkadesh, C. de Vente, M. Vermaat, W. Xie, B. de Wilde, M. Prokop and B. van Ginneken, "Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence", Radiology, 2021; 298 (1): E18-E28.

inproceedings

7TOTAL RESOURCES
L. van Harten, R. L. M. Van Herten, I. Isgum, "REINDIR: Repeated Embedding Infusion for Neural Deformable Image Registration", Medical Imaging with Deep Learning, 2024.
R.L.M. van Herten, L. van Harten, N. Planken, I. Isgum, "Generative Adversarial Networks for Coronary CT Angiography Acquisition Protocol Correction with Explicit Attenuation Constraints", Medical Imaging with Deep Learning, 2023; 227: 1288-1303.
L. van Harten, R.L.M. van Herten, J. Stoker and I. Isgum, "Deformable Image Registration with Geometry-informed Implicit Neural Representations", Medical Imaging with Deep Learning, 2023; 227: 730-742.
L. van Harten, C. de Jonge, J. Stoker, I. Isgum, "Untangling the small intestine in 3D cine-MRI using deep stochastic tracking", Medical Imaging with Deep Learning (MIDL 2021), 2021.
L. D. van Harten, J. M. Wolterink, J. J. C. Verhoeff and I. Išgum, "Exploiting clinically available delineations for CNN-based segmentation in radiotherapy treatment planning", SPIE Medical Imaging, Image Processing, 2020; 11313: 113131F.
L. D. van Harten, J. M. Wolterink, J. J. C. Verhoeff and I. Išgum, "Automatic online quality control of synthetic CTs", SPIE Medical Imaging, Image Processing, 2020; 11313: 113131M.
L. D. van Harten, J. M. H. Noothout, J. J. C. Verhoeff, J. M. Wolterink and I. Išgum, "Automatic segmentation of organs at risk in thoracic CT scans by combining 2D and 3D convolutional neural networks", Proc. of SegTHOR challenge at IEEE International Symposium on Biomedical Imaging, 2019.