Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Machado, Inês P."'
Autor:
Machado, Inês P., Reithmeir, Anna, Kogl, Fryderyk, Rundo, Leonardo, Funingana, Gabriel, Reinius, Marika, Mungmeeprued, Gift, Gao, Zeyu, McCague, Cathal, Kerfoot, Eric, Woitek, Ramona, Sala, Evis, Ou, Yangming, Brenton, James, Schnabel, Julia, Crispin, Mireia
High-grade serous ovarian carcinoma (HGSOC) is characterised by significant spatial and temporal heterogeneity, typically manifesting at an advanced metastatic stage. A major challenge in treating advanced HGSOC is effectively monitoring localised ch
Externí odkaz:
http://arxiv.org/abs/2407.17114
Autor:
Kögl, Fryderyk, Reithmeir, Anna, Sideri-Lampretsa, Vasiliki, Machado, Ines, Braren, Rickmer, Rückert, Daniel, Schnabel, Julia A., Zimmer, Veronika A.
General vision encoders like DINOv2 and SAM have recently transformed computer vision. Even though they are trained on natural images, such encoder models have excelled in medical imaging, e.g., in classification, segmentation, and registration. Howe
Externí odkaz:
http://arxiv.org/abs/2407.13311
Autor:
Machado, Inês P., Puyol-Antón, Esther, Hammernik, Kerstin, Cruz, Gastão, Ugurlu, Devran, Olakorede, Ihsane, Oksuz, Ilkay, Ruijsink, Bram, Castelo-Branco, Miguel, Young, Alistair A., Prieto, Claudia, Schnabel, Julia A., King, Andrew P.
Cine cardiac magnetic resonance (CMR) imaging is considered the gold standard for cardiac function evaluation. However, cine CMR acquisition is inherently slow and in recent decades considerable effort has been put into accelerating scan times withou
Externí odkaz:
http://arxiv.org/abs/2205.01673
Autor:
Carluer, Jean-Baptiste, Chauvin, Laurent, Luo, Jie, Wells III, William M., Machado, Ines, Harmouche, Rola, Toews, Matthew
This work details a highly efficient implementation of the 3D scale-invariant feature transform (SIFT) algorithm, for the purpose of machine learning from large sets of volumetric medical image data. The primary operations of the 3D SIFT code are imp
Externí odkaz:
http://arxiv.org/abs/2112.10258
Autor:
Ugurlu, Devran, Puyol-Anton, Esther, Ruijsink, Bram, Young, Alistair, Machado, Ines, Hammernik, Kerstin, King, Andrew P., Schnabel, Julia A.
Domain shift refers to the difference in the data distribution of two datasets, normally between the training set and the test set for machine learning algorithms. Domain shift is a serious problem for generalization of machine learning models and it
Externí odkaz:
http://arxiv.org/abs/2109.13230
Autor:
Machado, Ines, Puyol-Anton, Esther, Hammernik, Kerstin, Cruz, Gastao, Ugurlu, Devran, Ruijsink, Bram, Castelo-Branco, Miguel, Young, Alistair, Prieto, Claudia, Schnabel, Julia A., King, Andrew P.
Cine cardiac MRI is routinely acquired for the assessment of cardiac health, but the imaging process is slow and typically requires several breath-holds to acquire sufficient k-space profiles to ensure good image quality. Several undersampling-based
Externí odkaz:
http://arxiv.org/abs/2109.07955
Autor:
Xiao, Yiming, Rivaz, Hassan, Chabanas, Matthieu, Fortin, Maryse, Machado, Ines, Ou, Yangming, Heinrich, Mattias P., Schnabel, Julia A., Zhong, Xia, Maier, Andreas, Wein, Wolfgang, Shams, Roozbeh, Kadoury, Samuel, Drobny, David, Modat, Marc, Reinertsen, Ingerid
Publikováno v:
IEEE transactions on medical imaging,2019
In brain tumor surgery, the quality and safety of the procedure can be impacted by intra-operative tissue deformation, called brain shift. Brain shift can move the surgical targets and other vital structures such as blood vessels, thus invalidating t
Externí odkaz:
http://arxiv.org/abs/1904.10535
Autor:
Luo, Jie, Toews, Matt, Machado, Ines, Frisken, Sarah, Zhang, Miaomiao, Preiswerk, Frank, Sedghi, Alireza, Ding, Hongyi, Pieper, Steve, Golland, Polina, Golby, Alexandra, Sugiyama, Masashi, Wells III, William M.
A reliable Ultrasound (US)-to-US registration method to compensate for brain shift would substantially improve Image-Guided Neurological Surgery. Developing such a registration method is very challenging, due to factors such as missing correspondence
Externí odkaz:
http://arxiv.org/abs/1803.07682
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.