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Fully automatic, multiorgan segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs), and a multi-atlas (MA) approach.
Published in:
Medical Physics, 2017, v. 44, n. 10, p. 5210, doi. 10.1002/mp.12492
By:
- Lavdas, Ioannis;
- Glocker, Ben;
- Kamnitsas, Konstantinos;
- Rueckert, Daniel;
- Mair, Henrietta;
- Sandhu, Amandeep;
- Taylor, Stuart A.;
- Aboagye, Eric O.;
- Rockall, Andrea G.
Publication type:
Article
NIMG-07. DEEP LEARNING DETECTS DIFFERENCES IN THE MRIs OF MALE AND FEMALE GLIOMAS.
Published in:
Neuro-Oncology, 2018, v. 20, p. vi177, doi. 10.1093/neuonc/noy148.735
By:
- Singleton, Kyle;
- Mitchell, Joseph;
- Ranjbar, Sara;
- Kamnitsas, Konstantinos;
- Whitmire, Scott;
- Clark-Swanson, Kamala;
- Rickertsen, Cassandra;
- Rubin, Joshua;
- Glocker, Ben;
- Hu, Leland
Publication type:
Article
Deep neural network to locate and segment brain tumors outperformed the expert technicians who created the training data.
Published in:
Journal of Medical Imaging, 2020, v. 7, n. 5, p. 55501, doi. 10.1117/1.JMI.7.5.055501
By:
- Mitchell, Joseph Ross;
- Kamnitsas, Konstantinos;
- Singleton, Kyle W.;
- Whitmire, Scott A.;
- Clark-Swanson, Kamala R.;
- Ranjbar, Sara;
- Rickertsen, Cassandra R.;
- Johnston, Sandra K.;
- Egan, Kathleen M.;
- Rollison, Dana E.;
- Arrington, John;
- Krecke, Karl N.;
- Passe, Theodore J.;
- Verdoorn, Jared T.;
- Nagelschneider, Alex A.;
- Carr, Carrie M.;
- Port, John D.;
- Patton, Alice;
- Campeau, Norbert G.;
- Liebo, Greta B.
Publication type:
Article
Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging.
Published in:
PLoS ONE, 2017, v. 12, n. 11, p. 1, doi. 10.1371/journal.pone.0188152
By:
- Ledig, Christian;
- Kamnitsas, Konstantinos;
- Koikkalainen, Juha;
- Posti, Jussi P.;
- Takala, Riikka S. K.;
- Katila, Ari;
- Frantzén, Janek;
- Ala-Seppälä, Henna;
- Kyllönen, Anna;
- Maanpää, Henna-Riikka;
- Tallus, Jussi;
- Lötjönen, Jyrki;
- Glocker, Ben;
- Tenovuo, Olli;
- Rueckert, Daniel
Publication type:
Article
Multi-channel MRI segmentation of eye structures and tumors using patient-specific features.
Published in:
PLoS ONE, 2017, v. 12, n. 3, p. 1, doi. 10.1371/journal.pone.0173900
By:
- Ciller, Carlos;
- De Zanet, Sandro;
- Kamnitsas, Konstantinos;
- Maeder, Philippe;
- Glocker, Ben;
- Munier, Francis L.;
- Rueckert, Daniel;
- Thiran, Jean-Philippe;
- Bach Cuadra, Meritxell;
- Sznitman, Raphael
Publication type:
Article

Found: 5

Fully automatic, multiorgan segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs), and a multi-atlas (MA) approach.

NIMG-07. DEEP LEARNING DETECTS DIFFERENCES IN THE MRIs OF MALE AND FEMALE GLIOMAS.

Deep neural network to locate and segment brain tumors outperformed the expert technicians who created the training data.

Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging.

Multi-channel MRI segmentation of eye structures and tumors using patient-specific features.