Items where authors include "Ravikumar, N"

Article

Liu, Q, Sarrami-Foroushani, A, Wang, Y orcid.org/0000-0002-5673-042X et al. (10 more authors) (2023) Hemodynamics of thrombus formation in intracranial aneurysms: an in-silico observational study. APL Bioengineering, 7 (3). 036102. ISSN 2473-2877

Xia, Y, Ravikumar, N, Lassila, T orcid.org/0000-0001-8947-1447 et al. (1 more author) (2023) Generating virtual patients of high-resolution MR angiography from non-angiographic multi-contrast MRIs for In-silico trials. Medical Image Analysis, 87. 102814. ISSN 1361-8415

Kassab-Bachi, A orcid.org/0000-0001-7601-2532, Ravikumar, N orcid.org/0000-0003-0134-107X, Wilcox, RK orcid.org/0000-0003-2736-7104 et al. (2 more authors) (2023) Correction: Contribution of Shape Features to Intradiscal Pressure and Facets Contact Pressure in L4/L5 FSUs: An In-Silico Study. Annals of Biomedical Engineering, 51 (3). p. 642. ISSN 0090-6964

Lin, F, Xia, Y, Song, S et al. (2 more authors) (2023) High-Throughput 3DRA Segmentation of Brain Vasculature and Aneurysms using Deep Learning. Computer Methods and Programs in Biomedicine, 230. 107355. ISSN 0169-2607

Duff, LM orcid.org/0000-0002-4295-6356, Scarsbrook, AF orcid.org/0000-0002-4243-032X, Ravikumar, N orcid.org/0000-0003-0134-107X et al. (10 more authors) (2023) An Automated Method for Artifical Intelligence Assisted Diagnosis of Active Aortitis Using Radiomic Analysis of FDG PET-CT Images. Biomolecules, 13 (2). 343. ISSN 2218-273X

Aubreville, M, Stathonikos, N, Bertram, CA et al. (38 more authors) (2023) Mitosis domain generalization in histopathology images — The MIDOG challenge. Medical Image Analysis, 84. 102699. ISSN 1361-8415

Kassab-Bachi, A orcid.org/0000-0001-7601-2532, Ravikumar, N orcid.org/0000-0003-0134-107X, Wilcox, RK et al. (2 more authors) (2023) Contribution of Shape Features to Intradiscal Pressure and Facets Contact Pressure in L4/L5 FSUs: An In-Silico Study. Annals of Biomedical Engineering, 51 (1). pp. 174-188. ISSN 0090-6964

Xia, Y, Chen, X orcid.org/0000-0003-4203-4578, Ravikumar, N orcid.org/0000-0003-0134-107X et al. (6 more authors) (2022) Automatic 3D+t four-chamber CMR quantification of the UK biobank: integrating imaging and non-imaging data priors at scale. Medical Image Analysis, 80. 102498. ISSN 1361-8415

Harkness, R, Hall, G orcid.org/0000-0002-8864-5932, Frangi, AF orcid.org/0000-0002-2675-528X et al. (2 more authors) (2022) The Pitfalls of Using Open Data to Develop Deep Learning Solutions for COVID-19 Detection in Chest X-Rays. MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation, 290. pp. 679-683. ISSN 0926-9630

Xia, Y, Ravikumar, N orcid.org/0000-0003-0134-107X and Frangi, AF orcid.org/0000-0002-2675-528X (2022) Learning to complete incomplete hearts for population analysis of cardiac MR images. Medical Image Analysis, 77. 102354. ISSN 1361-8415

Diaz-Pinto, A, Ravikumar, N, Attar, R et al. (14 more authors) (2022) Predicting myocardial infarction through retinal scans and minimal personal information. Nature Machine Intelligence, 4. pp. 55-61. ISSN 2522-5839

Chen, S, Zhong, X, Dorn, S et al. (6 more authors) (2022) Improving Generalization Capability of Multiorgan Segmentation Models Using Dual-Energy CT. IEEE Transactions on Radiation and Plasma Medical Sciences, 6 (1). pp. 79-86. ISSN 2469-7311

Zakeri, A, Hokmabadi, A, Ravikumar, N et al. (2 more authors) (2022) A probabilistic deep motion model for unsupervised cardiac shape anomaly assessment. Medical Image Analysis, 75. 102276. ISSN 1361-8415

Chen, X orcid.org/0000-0003-4203-4578, Ravikumar, N, Xia, Y et al. (6 more authors) (2021) Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds. Medical Image Analysis, 74. 102228. ISSN 1361-8415

Xia, Y, Ravikumar, N, Greenwood, JP orcid.org/0000-0002-2861-0914 et al. (3 more authors) (2021) Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning. Medical Image Analysis. 102037. ISSN 1361-8415

Vesal, S, Gu, M, Kosti, R et al. (2 more authors) (2021) Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation. IEEE Transactions on Medical Imaging. ISSN 0278-0062

Zhong, X, Amrehn, M, Ravikumar, N et al. (6 more authors) (2021) Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images. Scientific Reports, 11 (1). 3311. ISSN 2045-2322

Chen, X orcid.org/0000-0003-4203-4578, Diaz-Pinto, A orcid.org/0000-0002-4865-8296, Ravikumar, N et al. (1 more author) (2021) Deep learning in medical image registration. Progress in Biomedical Engineering, 3. 012003. ISSN 2516-1091

Xia, Y, Zhang, L, Ravikumar, N et al. (5 more authors) (2021) Recovering from missing data in population imaging – Cardiac MR image imputation via conditional generative adversarial nets. Medical Image Analysis, 67. 101812. ISSN 1361-8415

Xiong, Z, Xia, Q, Hu, Z et al. (41 more authors) (2021) A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging. Medical Image Analysis, 67. 101832. ISSN 1361-8415

Vesal, S, Gu, M, Maier, A et al. (1 more author) (2020) Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification. IEEE Journal of Biomedical and Health Informatics. ISSN 2168-2194

Vesal, S, Maier, A and Ravikumar, N (2020) Fully Automated 3D Cardiac MRI Localisation and Segmentation Using Deep Neural Networks. Journal of Imaging, 6 (7). 65. ISSN 2313-433X

Bayer, S, Zhai, Z, Strumia, M et al. (8 more authors) (2019) Registration of vascular structures using a hybrid mixture model. International Journal of Computer Assisted Radiology and Surgery, 14 (9). pp. 1507-1516. ISSN 1861-6410

Ravikumar, N, Gooya, A, Beltrachini, L et al. (2 more authors) (2019) Generalised coherent point drift for group-wise multi-dimensional analysis of diffusion brain MRI data. Medical Image Analysis, 53. pp. 47-63. ISSN 1361-8415

Jaremenko, C, Ravikumar, N, Affronti, E et al. (2 more authors) (2019) Determination of Forming Limits in Sheet Metal Forming Using Deep Learning. MATERIALS, 12 (7). ARTN 1051. ISSN 1996-1944

Guo, L, Vardakis, JC, Lassila, T et al. (11 more authors) (2018) Subject-specific multi-poroelastic model for exploring the risk factors associated with the early stages of Alzheimer's disease. Interface Focus, 8 (1). ARTN 20170019. ISSN 2042-8898

Ravikumar, N, Gooya, A, Çimen, S et al. (2 more authors) (2018) Group-wise similarity registration of point sets using Student’s t-mixture model for statistical shape models. Medical Image Analysis, 44. pp. 156-176. ISSN 1361-8415

McGrath, DM, Ravikumar, N, Beltrachini, L et al. (3 more authors) (2017) Evaluation of wave delivery methodology for brain MRE: Insights from computational simulations. Magnetic Resonance in Medicine, 78 (1). pp. 341-356. ISSN 0740-3194

Ravikumar, N, Noble, C, Cramphorn, E et al. (1 more author) (2015) A constitutive model for ballistic gelatin at surgical strain rates. Journal of the Mechanical Behavior of Biomedical Materials, 47. pp. 87-94. ISSN 1751-6161

Conference or Workshop Item

Duff, L, Scarsbrook, AF orcid.org/0000-0002-4243-032X, Ravikumar, N et al. (8 more authors) (2022) Automated AI-assisted diagnosis of active aortitis using radiomic analysis of FDG PET-CT imaging. In: Annual Congress of the European Association of Nuclear Medicine October, 15-19 Oct 2022, Barcelona, Spain.

Proceedings Paper

Shone, F, Ravikumar, N, Lassila, T orcid.org/0000-0001-8947-1447 et al. (6 more authors) (2023) Deep Physics-Informed Super-Resolution of Cardiac 4D-Flow MRI. In: Information Processing in Medical Imaging. Information Processing in Medical Imaging (IPMI 2023), 18-23 Jun 2023, San Carlos de Bariloche, Argentina. Lecture Notes in Computer Science . Springer , pp. 511-522. ISBN 978-3-031-34047-5

Breen, J orcid.org/0000-0002-9020-3383, Allen, K, Zucker, K et al. (3 more authors) (2023) Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning. In: Tomaszewski, JE and Ward, AD, (eds.) Proceedings of SPIE 12471. SPIE Medical Imaging 2023: Digital and Computational Pathology, 19-24 Feb 2023, San Diego, USA. SPIE . ISBN 9781510660472

Stone, RS, Ravikumar, N orcid.org/0000-0003-0134-107X, Bulpitt, AJ orcid.org/0000-0002-7905-4540 et al. (1 more author) (2022) Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation. In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 19-20 Jun 2022, New Orleans, LA, USA. IEEE , pp. 2897-2904. ISBN 978-1-6654-8740-5

Breen, J orcid.org/0000-0002-9020-3383, Zucker, K orcid.org/0000-0003-4385-3153, Orsi, NM et al. (1 more author) (2022) Assessing Domain Adaptation Techniques for Mitosis Detection in Multi-scanner Breast Cancer Histopathology Images. In: MICCAI 2021: Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis. MICCAI 2021, 27 Sep - 01 Oct 2021, Strasbourg, France. Springer, Cham , pp. 14-22. ISBN 9783030972806

Chen, X orcid.org/0000-0003-4203-4578, Xia, Y, Ravikumar, N et al. (1 more author) (2021) A Deep Discontinuity-Preserving Image Registration Network. In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part IV. Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, 27 Sep - 01 Oct 2021, Strasbourg, France/Virtual. Springer, Cham , pp. 46-55. ISBN 978-3-030-87202-1

Huang, Y, Yang, X, Zou, Y et al. (7 more authors) (2021) Flip Learning: Erase to Segment. In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part I. Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, 27 Sep - 01 Oct 2021, Strasbourg, France. Springer, Cham , pp. 493-502. ISBN 978-3-030-87193-2

He, S, Lin, Z, Yang, X et al. (13 more authors) (2021) Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound. In: Lian, C, Cao, X, Rekik, I, Xu, X and Yan, P, (eds.) Machine Learning in Medical Imaging. 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, 27 Sep - 01 Oct 2021, Strasbourg, France. Springer , pp. 190-198. ISBN 978-3-030-87588-6

Bonazzola, R, Ravikumar, N orcid.org/0000-0003-0134-107X, Attar, R et al. (3 more authors) (2021) Image-Derived Phenotype Extraction for Genetic Discovery via Unsupervised Deep Learning in CMR Images. In: MICCAI 2021: Medical Image Computing and Computer Assisted Intervention. MICCAI 2021, 27 Sep - 01 Oct 2021, Strasbourg, France. Springer International Publishing , pp. 699-708. ISBN 9783030872397

Liu, Z, Manh, V, Yang, X et al. (6 more authors) (2021) Style Curriculum Learning for Robust Medical Image Segmentation. In: MICCAI 2021: Medical Image Computing and Computer Assisted Intervention. MICCAI 2021, 27 Sep - 01 Oct 2021, Strasbourg, France. Springer Cham , pp. 451-460. ISBN 9783030871925

Li, D, Kar, A, Ravikumar, N et al. (2 more authors) (2020) Federated Simulation for Medical Imaging. In: Lecture Notes in Computer Science. MICCAI Medical Image Computing and Computer Assisted Interventions, 04-08 Oct 2020, Lima, Peru. Springer Verlag , pp. 159-168. ISBN 9783030597092

Hatamian, FN, Ravikumar, N, Vesal, S et al. (3 more authors) (2020) The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks. In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 04-08 May 2020, Barcelona, Spain. IEEE , pp. 1264-1268. ISBN 978-1-5090-6632-2

Rodríguez-Salas, D, Ravikumar, N, Seuret, M et al. (1 more author) (2020) ForestNet – Automatic Design of Sparse Multilayer Perceptron Network Architectures Using Ensembles of Randomized Trees. In: Lecture Notes in Computer Science. ACPR 2019: Asian Conference on Pattern Recognition, 26-29 Nov 2019, Auckland, New Zealand. Springer Verlag , pp. 32-45. ISBN 9783030414030

Vesal, S, Ravikumar, N and Maier, A (2020) Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation. In: Lecture Notes in Computer Science. STACOM 2019: Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 12 Oct 2019, Shenzen, China. Springer Verlag , pp. 300-308. ISBN 9783030390730

Bayer, S, Zhong, X, Fu, W et al. (2 more authors) (2020) Imitation Learning Network for Fundus Image Registration Using a Divide-And-Conquer Approach. In: Informatik aktuell. Bildverarbeitung für die Medizin, 15-17 Mar 2020, Berlin, Germany. Springer Vieweg, Wiesbaden , pp. 301-306. ISBN 9783658292669

Denzinger, F, Wels, M, Ravikumar, N et al. (6 more authors) (2019) Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics. In: Lecture Notes in Computer Science. Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, 13-17 Oct 2019, Shenzen, China. Springer Verlag , pp. 593-601. ISBN 9783030322502

Fu, W, Breininger, K, Schaffert, R et al. (2 more authors) (2019) A Divide-and-Conquer Approach Towards Understanding Deep Networks. In: Lecture Notes in Computer Science. MICCAI 2019: International Conference on Medical Image Computing and Computer-Assisted Intervention, 13-17 Oct 2019, Shenzen, China. Springer Verlag , pp. 183-191. ISBN 9783030322380

Kaiser, N, Fieselmann, A, Vesal, S et al. (4 more authors) (2019) Mammographic breast density classification using a deep neural network: assessment based on inter-observer variability. In: Nishikawa, RM and Samuelson, FW, (eds.) Proceedings of SPIE: Progress in Biomedical Optics and Imaging. SPIE Medical Imaging 2019, 16-21 Feb 2019, San Diego, CA, United States. SPIE . ISBN 9781510625518

Vesal, S, Ravikumar, N and Maier, A (2019) A 2D dilated residual U-net for multi-organ segmentation in thoracic CT. In: Petitjean, C, Ruan, S, Lambert, Z and Dubray, B, (eds.) CEUR Workshop Proceedings. SegTHOR2019: 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images, 08-11 Apr 2019, Venice, Italy. CEUR Workshop Proceedings .

Vesal, S, Ravikumar, N and Maier, A (2019) Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI. In: Pop, M, Sermesant, M, Zhao, J, Li, S, McLeod, K, Young, A, Rhode, K and Mansi, T, (eds.) Lecture Notes in Computer Science. STACOM 2018: 9th Statistical Atlases and Computational Modelling of the Heart Workshop, 16 Sep 2018, Granada, Spain. Springer Verlag , pp. 319-328. ISBN 978-3-030-12028-3

Xu, Y, Schebesch, F, Ravikumar, N et al. (1 more author) (2019) Detection of Unseen Low-Contrast Signals Using Classic and Novel Model Observers. In: Handels, H, Deserno, TM, Maier, A, Maier-Hein, KH, Palm, C and Tolxdorff, T, (eds.) Informatik aktuell. BVM 2019: Bildverarbeitung für die Medizin, 17-19 Mar 2019, Lübeck, Germany. Springer Vieweg , pp. 212-217. ISBN 978-3-658-25325-7

Folle, L, Vesal, S, Ravikumar, N et al. (1 more author) (2019) Dilated Deeply Supervised Networks for Hippocampus Segmentation in MRI. In: Handels, H, Deserno, TM, Maier, A, Maier-Hein, KH, Palm, C and Tolxdorff, T, (eds.) Informatik aktuell. BVM 2019: Bildverarbeitung für die Medizin, 17-19 Mar 2019, Lübeck, Germany. Springer Vieweg , pp. 68-73. ISBN 978-3-658-25325-7

Preuhs, A, Ravikumar, N, Manhart, M et al. (5 more authors) (2019) Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency. In: Handels, H, Deserno, TM, Maier, A, Maier-Hein, KH, Palm, C and Tolxdorff, T, (eds.) Informatik aktuell. BVM 2019: Bildverarbeitung für die Medizin, 17-19 Mar 2019, Lübeck, Germany. Springer Vieweg , pp. 134-139. ISBN 978-3-658-25325-7

Zhong, X, Roser, P, Bayer, S et al. (7 more authors) (2019) Pediatric Patient Surface Model Atlas Generation and X-Ray Skin Dose Estimation. In: Handels, H, Deserno, TM, Maier, A, Maier-Hein, KH, Palm, C and Tolxdorff, T, (eds.) Informatik aktuell. BVM 2019: Bildverarbeitung für die Medizin 2019, 17-19 Mar 2019, Lübeck, Germany. Springer Vieweg , pp. 122-127. ISBN 978-3-658-25325-7

Chen, S, Gehrer, S, Kaliman, S et al. (7 more authors) (2019) Semi-Automatic Cell Correspondence Analysis Using Iterative Point Cloud Registration. In: Handels, H, Deserno, TM, Maier, A, Maier-Hein, KH, Palm, C and Tolxdorff, T, (eds.) Informatik aktuell. BVM 2019: Bildverarbeitung für die Medizin 2019, 17-19 Mar 2019, Lübeck, Germany. Springer Vieweg , pp. 116-121. ISBN 978-3-658-25325-7

Ravikumar, N, Gooya, A, Frangi, AF orcid.org/0000-0002-2675-528X et al. (1 more author) (2017) Generalised coherent point drift for group-wise registration of multi-dimensional point sets. In: Lecture Notes in Computer Science. Medical Image Computing and Computer Assisted Intervention - MICCAI 2017. 20th International Conference, 10-14 Sep 2017, Quebec, Canada. Springer , pp. 309-316. ISBN 9783319661810