Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Murphy, Keelin"'
Autor:
Sogancioglu, Ecem, van Ginneken, Bram, Behrendt, Finn, Bengs, Marcel, Schlaefer, Alexander, Radu, Miron, Xu, Di, Sheng, Ke, Scalzo, Fabien, Marcus, Eric, Papa, Samuele, Teuwen, Jonas, Scholten, Ernst Th., Schalekamp, Steven, Hendrix, Nils, Jacobs, Colin, Hendrix, Ward, Sánchez, Clara I, Murphy, Keelin
Pulmonary nodules may be an early manifestation of lung cancer, the leading cause of cancer-related deaths among both men and women. Numerous studies have established that deep learning methods can yield high-performance levels in the detection of lu
Externí odkaz:
http://arxiv.org/abs/2401.02192
Autor:
Hering, Alessa, Hansen, Lasse, Mok, Tony C. W., Chung, Albert C. S., Siebert, Hanna, Häger, Stephanie, Lange, Annkristin, Kuckertz, Sven, Heldmann, Stefan, Shao, Wei, Vesal, Sulaiman, Rusu, Mirabela, Sonn, Geoffrey, Estienne, Théo, Vakalopoulou, Maria, Han, Luyi, Huang, Yunzhi, Yap, Pew-Thian, Brudfors, Mikael, Balbastre, Yaël, Joutard, Samuel, Modat, Marc, Lifshitz, Gal, Raviv, Dan, Lv, Jinxin, Li, Qiang, Jaouen, Vincent, Visvikis, Dimitris, Fourcade, Constance, Rubeaux, Mathieu, Pan, Wentao, Xu, Zhe, Jian, Bailiang, De Benetti, Francesca, Wodzinski, Marek, Gunnarsson, Niklas, Sjölund, Jens, Grzech, Daniel, Qiu, Huaqi, Li, Zeju, Thorley, Alexander, Duan, Jinming, Großbröhmer, Christoph, Hoopes, Andrew, Reinertsen, Ingerid, Xiao, Yiming, Landman, Bennett, Huo, Yuankai, Murphy, Keelin, Lessmann, Nikolas, van Ginneken, Bram, Dalca, Adrian V., Heinrich, Mattias P.
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 approaches on a wide range of clinically releva
Externí odkaz:
http://arxiv.org/abs/2112.04489
Autor:
Scott, Alex John, Limbada, Mohammed, Perumal, Tahlia, Jaumdally, Shameem, Kotze, Andrea, van der Merwe, Charnay, Cheeba, Maina, Milimo, Deborah, Murphy, Keelin, van Ginneken, Bram, de Kock, Mariana, Warren, Robin Mark, Gina, Phindile, Swanepoel, Jeremi, Kühn, Louié, Oelofse, Suzette, Pooran, Anil, Esmail, Aliasgar, Ayles, Helen, Dheda, Keertan
Publikováno v:
In International Journal of Infectious Diseases August 2024 145
Autor:
Sogancioglu, Ecem, Murphy, Keelin, Scholten, Ernst Th., Boulogne, Luuk H., Prokop, Mathias, van Ginneken, Bram
Total lung volume is an important quantitative biomarker and is used for the assessment of restrictive lung diseases. In this study, we investigate the performance of several deep-learning approaches for automated measurement of total lung volume fro
Externí odkaz:
http://arxiv.org/abs/2105.01181
Autor:
Çallı, Erdi, Murphy, Keelin, Kurstjens, Steef, Samson, Tijs, Herpers, Robert, Smits, Henk, Rutten, Matthieu, van Ginneken, Bram
In the context of the current global pandemic and the limitations of the RT-PCR test, we propose a novel deep learning architecture, DFCN (Denoising Fully Connected Network). Since medical facilities around the world differ enormously in what laborat
Externí odkaz:
http://arxiv.org/abs/2103.13833
Recent advances in deep learning have led to a promising performance in many medical image analysis tasks. As the most commonly performed radiological exam, chest radiographs are a particularly important modality for which a variety of applications h
Externí odkaz:
http://arxiv.org/abs/2103.08700
In this work, we propose a method to reject out-of-distribution samples which can be adapted to any network architecture and requires no additional training data. Publicly available chest x-ray data (38,353 images) is used to train a standard ResNet-
Externí odkaz:
http://arxiv.org/abs/1907.01253
Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system
Autor:
Murphy, Keelin, Habib, Shifa Salman, Zaidi, Syed Mohammad Asad, Khowaja, Saira, Khan, Aamir, Melendez, Jaime, Scholten, Ernst T., Amad, Farhan, Schalekamp, Steven, Verhagen, Maurits, Philipsen, Rick H. H. M., Meijers, Annet, van Ginneken, Bram
Publikováno v:
Scientific Reports 10, 5492 (2020)
There is a growing interest in the automated analysis of chest X-Ray (CXR) as a sensitive and inexpensive means of screening susceptible populations for pulmonary tuberculosis. In this work we evaluate the latest version of CAD4TB, a commercial softw
Externí odkaz:
http://arxiv.org/abs/1903.03349
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Autor:
Murphy, Keelin1 (AUTHOR) Keelin.Murphy@Radboudumc.nl, Muhairwe, Josephine2 (AUTHOR), Schalekamp, Steven1 (AUTHOR), van Ginneken, Bram1 (AUTHOR), Ayakaka, Irene2 (AUTHOR), Mashaete, Kamele2 (AUTHOR), Katende, Bulemba2 (AUTHOR), van Heerden, Alastair3,4 (AUTHOR), Bosman, Shannon3 (AUTHOR), Madonsela, Thandanani3 (AUTHOR), Gonzalez Fernandez, Lucia5,6 (AUTHOR), Signorell, Aita7,8 (AUTHOR), Bresser, Moniek7,8 (AUTHOR), Reither, Klaus7,8 (AUTHOR), Glass, Tracy R.7,8 (AUTHOR)
Publikováno v:
Scientific Reports. 11/11/2023, Vol. 13 Issue 1, p1-11. 11p.