OpenURL Connection Search

Select item for more details and to access through your institution.

Improving the Automatic Classification of Brain MRI Acquisition Contrast with Machine Learning.
Published in:
Journal of Digital Imaging, 2023, v. 36, n. 1, p. 289, doi. 10.1007/s10278-022-00690-z
By:
- Cluceru, Julia;
- Lupo, Janine M.;
- Interian, Yannet;
- Bove, Riley;
- Crane, Jason C.
Publication type:
Article
Flt-1 (VEGFR-1) coordinates discrete stages of blood vessel formation.
Published in:
Cardiovascular Research, 2016, v. 111, n. 1, p. 84, doi. 10.1093/cvr/cvw091
By:
- Chappell, John C.;
- Cluceru, Julia G.;
- Nesmith, Jessica E.;
- Mouillesseaux, Kevin P.;
- Bradley, Vanessa B.;
- Hartland, Caitlin M.;
- Hashambhoy-Ramsay, Yasmin L.;
- Walpole, Joseph;
- Peirce, Shayn M.;
- Gabhann, Feilim Mac;
- Bautch, Victoria L.
Publication type:
Article
Recurrent tumor and treatment-induced effects have different MR signatures in contrast enhancing and non-enhancing lesions of high-grade gliomas.
Published in:
Neuro-Oncology, 2020, v. 22, n. 10, p. 1516, doi. 10.1093/neuonc/noaa094
By:
- Cluceru, Julia;
- Nelson, Sarah J;
- Wen, Qiuting;
- Phillips, Joanna J;
- Shai, Anny;
- Molinaro, Annette M;
- Alcaide-Leon, Paula;
- Olson, Marram P;
- Nair, Devika;
- LaFontaine, Marisa;
- Chunduru, Pranathi;
- Villanueva-Meyer, Javier E;
- Cha, Soonmee;
- Chang, Susan M;
- Berger, Mitchel S;
- Lupo, Janine M
Publication type:
Article
NIMG-11. DIFFERENTIATING TREATMENT-INDUCED EFFECTS FROM TRUE RECURRENT HIGH GRADE GLIOMA USING MULTIPARAMETRIC MRI TECHNIQUES.
Published in:
Neuro-Oncology, 2018, v. 20, p. vi177, doi. 10.1093/neuonc/noy148.738
By:
- Cluceru, Julia;
- Nelson, Sarah;
- Molinaro, Annette;
- Phillips, Joanna J;
- Olson, Beck;
- Lafontaine, Marisa;
- Jakary, Angela;
- Nair, Devika;
- Chang, Susan;
- Alcaide-Leon, Paula
Publication type:
Article
Improving the Generalizability of Deep Learning for T2-Lesion Segmentation of Gliomas in the Post-Treatment Setting.
Published in:
Bioengineering (Basel), 2024, v. 11, n. 5, p. 497, doi. 10.3390/bioengineering11050497
By:
- Ellison, Jacob;
- Caliva, Francesco;
- Damasceno, Pablo;
- Luks, Tracy L.;
- LaFontaine, Marisa;
- Cluceru, Julia;
- Kemisetti, Anil;
- Li, Yan;
- Molinaro, Annette M.;
- Pedoia, Valentina;
- Villanueva-Meyer, Javier E.;
- Lupo, Janine M.
Publication type:
Article
Improving the noninvasive classification of glioma genetic subtype with deep learning and diffusion-weighted imaging.
Published in:
Neuro-Oncology, 2022, v. 24, n. 4, p. 639, doi. 10.1093/neuonc/noab238
By:
- Cluceru, Julia;
- Interian, Yannet;
- Phillips, Joanna J;
- Molinaro, Annette M;
- Luks, Tracy L;
- Alcaide-Leon, Paula;
- Olson, Marram P;
- Nair, Devika;
- LaFontaine, Marisa;
- Shai, Anny;
- Chunduru, Pranathi;
- Pedoia, Valentina;
- Villanueva-Meyer, Javier E;
- Chang, Susan M;
- Lupo, Janine M
Publication type:
Article

Found: 6

Improving the Automatic Classification of Brain MRI Acquisition Contrast with Machine Learning.

Flt-1 (VEGFR-1) coordinates discrete stages of blood vessel formation.

Recurrent tumor and treatment-induced effects have different MR signatures in contrast enhancing and non-enhancing lesions of high-grade gliomas.

NIMG-11. DIFFERENTIATING TREATMENT-INDUCED EFFECTS FROM TRUE RECURRENT HIGH GRADE GLIOMA USING MULTIPARAMETRIC MRI TECHNIQUES.

Improving the Generalizability of Deep Learning for T2-Lesion Segmentation of Gliomas in the Post-Treatment Setting.

Improving the noninvasive classification of glioma genetic subtype with deep learning and diffusion-weighted imaging.