A Dual Coordinate System Vertebra Landmark Detection Network with Sparse-to-Dense Vertebral Line Interpolation

Autor: Han Zhang, Albert C. S. Chung

Publikováno v: Bioengineering, Vol 11, Iss 1, p 101 (2024)

Precise surveillance and assessment of spinal disorders are important for improving health care and patient survival rates. The assessment of spinal disorders, such as scoliosis assessment, depends heavily on precise vertebra landmark localization. H

Externí odkaz: https://doaj.org/article/a32ba7b713f74288bf618a55c5489686

Frequency and Patterns of Brain Infarction in Patients With Embolic Stroke of Undetermined Source: NAVIGATE ESUS Trial

Autor: Mukul Sharma, Eric E. Smith, Lesly A. Pearce, Ashkan Shoamanesh, Kanjana S. Perera, Shelagh B. Coutts, Dorte Damgaard, Sebastian F. Ameriso, Joung-Ho Rha, Boris Modrau, Byung-Woo Yoon, Marina Romano, Steven R. Messé, Jessica Barlinn, Johann Lambeck, Feryal Saad, Scott D. Berkowitz, Hardi Mundl, Stuart J. Connolly, Robert G. Hart, T.S. Field, G.J. Stotts, D.J. Gladstone, S.J. Phillips, A. Sharrief, C. Holmstedt, N. Vora, C. Wilson, B.M. Coull, A. de Havenon, L.A. Birnbaum, N. Patel, M.S. Hussain, D. Greer, S. Chen, S. Kittner, D. Mehta, T. Lowenkopf, R. Sawyer, V. Babikian, R. Zweifler, D.L. Tirschwell, C. Sila, C. Zhang, K-S. Hong, K. Oh, J.H. Heo, H-J. Bae, M.S. Park, J.S. Kim, C-S. Chung, B-C. Lee, G.P. Povedano, J.J. Martin, G.M. Bruera, L.V. Jure, J. Marti-Fabregas, I.C. Naranjo, J.M.R. Moreno, P.C. Portela, M. Gomis, J. Serena, H. Christensen, T. Christensen, S. Knecht, M. Endres, J. Berrouschot, F. Schlachetzki, S. Wunderlich, P. Kraft, P. Guyler, RC. Veltkamp, M. Burn, K. Rashed, M.J. Macleod, C. Canepa, J. Selvarajah, D. Hargroves, Y. Behnam, T.G. Robinson, L. Roveri, G. Lembo, D.S. Toni, V. Monzani, A. Cavallini, D. Popov, M. Friedrich, C. Minelli, C. Moro, R.J. Gagliardi, A. Bacellar, R. Mikulik, J. Eckstein, G. Panczel, N. Szegedi, M.J. O’Donnell

Publikováno v: Sharma, M, Smith, E E, Pearce, L A, Shoamanesh, A, Perera, K S, Coutts, S B, Damgaard, D, Ameriso, S F, Rha, J H, Modrau, B, Yoon, B W, Romano, M, Messé, S R, Barlinn, J, Lambeck, J, Saad, F, Berkowitz, S D, Mundl, H, Connolly, S J, Hart, R G & the NAVIGATE ESUS MIND MRI Substudy Investigators 2022, ' Frequency and Patterns of Brain Infarction in Patients with Embolic Stroke of Undetermined Source : NAVIGATE ESUS Trial ', Stroke, vol. 53, no. 1, pp. 45-52 . https://doi.org/10.1161/STROKEAHA.120.032976
Sharma, M, Smith, E E, Pearce, L A, Shoamanesh, A, Perera, K S, Coutts, S B, Damgaard, D, Ameriso, S F, Rha, J-H, Modrau, B, Yoon, B-W, Romano, M, Messé, S R, Barlinn, J, Lambeck, J, Saad, F, Berkowitz, S D, Mundl, H, Connolly, S J, Hart, R G & NAVIGATE ESUS MIND MRI Substudy Investigators 2022, ' Frequency and Patterns of Brain Infarction in Patients With Embolic Stroke of Undetermined Source : NAVIGATE ESUS Trial ', Stroke, vol. 53, no. 1, STROKEAHA120032976, pp. 45-52 . https://doi.org/10.1161/STROKEAHA.120.032976

Background and Purpose: The spectrum of brain infarction in patients with embolic stroke of undetermined source (ESUS) has not been well characterized. Our objective was to define the frequency and pattern of brain infarcts detected by magnetic reson

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6bc84752acdbc3185ff205e2670b687
https://doi.org/10.1161/strokeaha.120.032976

Conditional Deep Laplacian Pyramid Image Registration Network in Learn2Reg Challenge

Autor: Tony C. W. Mok, Albert C. S. Chung

Publikováno v: Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis ISBN: 9783030972806

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::931b99b7e66207f5eaa4d2748da741e6
https://doi.org/10.1007/978-3-030-97281-3_23

Joint Denoising and Super-Resolution for Fluorescence Microscopy Using Weakly-Supervised Deep Learning

Autor: Colin S. C. Tsang, Tony C. W. Mok, Albert C. S. Chung

Publikováno v: Lecture Notes in Computer Science ISBN: 9783031169601

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::163f9a20a83378927c13f09e2fe93c88
https://doi.org/10.1007/978-3-031-16961-8_4

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

Autor: Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Hager, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey Sonn, Theo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yael Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjolund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Grosbrohmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich

Publikováno v: IEEE Transactions on Medical Imaging, 42, 697-712
IEEE Transactions on Medical Imaging
IEEE Transactions on Medical Imaging, 42, 3, pp. 697-712

Image registration is a fundamental medical image analysis task, and a wide variety of approaches have been proposed. However, only a few studies have comprehensively compared medical image registration ap- proaches on a wide range of clinically rele

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea28bc9afdd4d697dac164a4507f9841
http://arxiv.org/abs/2112.04489