Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jacob Ellison"'
Autor:
Jacob Ellison, Francesco Caliva, Pablo Damasceno, Tracy L. Luks, Marisa LaFontaine, Julia Cluceru, Anil Kemisetti, Yan Li, Annette M. Molinaro, Valentina Pedoia, Javier E. Villanueva-Meyer, Janine M. Lupo
Publikováno v:
Bioengineering, Vol 11, Iss 5, p 497 (2024)
Although fully automated volumetric approaches for monitoring brain tumor response have many advantages, most available deep learning models are optimized for highly curated, multi-contrast MRI from newly diagnosed gliomas, which are not representati
Externí odkaz:
https://doaj.org/article/b76c5a155cbc45c190289cce0afd1a43
Autor:
Jacob Ellison, Nate Tran, Annette Molinaro, Valentina Pedoia, Joanna J Phillips, Anny Shai, Devika Nair, Marisa Lafontaine, Angela Jakary, Tracy Luks, Javier Villanueva-Meyer, Susan M Chang, Mitchel S Berger, Shawn L Hervey-Jumper, Manish Aghi, Janine Lupo
Publikováno v:
Neuro-Oncology. 24:vii177-vii178
Although physiologic (diffusion-weighted and perfusion-weighted) MRI has shown promise in identifying regions of recurrent tumor (rTumor) in patients with glioblastoma suspected of progression, distinguishing treatment-induced effects (TxE) from rTum
Autor:
Oluwaseun Adegbite, Nate Tran, Annette Molinaro, Joanna J Phillips, Jacob Ellison, Yan Li, Tracy Luks, Anny Shai, Devika Nair, Valentina Pedoia, Javier Villanueva-Meyer, Mitchel S Berger, Shawn L Hervey-Jumper, Manish Aghi, Janine Lupo
Publikováno v:
Neuro-Oncology. 24:vii173-vii174
INTRODUCTION Pathologically aggressive tumor biology can extend beyond the contrast-enhancing or non-enhancing anatomical lesions in patients with glioma. Identification of malignant regions can help guide diagnosis and subsequent treatment planning.
Autor:
Nate Tran, Yan Li, Jacob Ellison, Oluwaseun Adegbite, Joanna J Phillips, Annette Molinaro, Valentina Pedoia, Anny Shai, Devika Nair, Angela Jakary, Marisa Lafontaine, Javier Villanueva-Meyer, Mitchel S Berger, Shawn L Hervey-Jumper, Manish Aghi, Susan M Chang, Janine Lupo
Publikováno v:
Neuro-Oncology. 24:vii179-vii179
INTRODUCTION Noninvasive, radiopathomic mapping of tumor aggressiveness can benefit patients with glioma by guiding the selection of tissue samples for diagnosis, increasing extent of resection, and non-invasively characterizing residual tumor burden
Autor:
Yan Li, Janine M. Lupo, Marisa Lafontaine, Francesco Caliva, Tracy Luks, Valentina Pedoia, Jacob Ellison, Pablo F. Damasceno, Javier Villanueva-Meyer
Publikováno v:
Neuro-Oncology. 23:vi134-vi134
Although current advances for automated glioma lesion segmentation and volumetric measurements using deep learning have yielded high performance on newly-diagnosed patients, response assessment in neuro-oncology still relies on manually-drawn, cross-