E-LIB Suche - Ergebnisse für: Anna Zapaishchykova

1

Diffusion deep learning for brain age prediction and longit..:

Zapaishchykova, Anna ; Tak, Divyanshu ; Ye, Zezhong...
Imaging Neuroscience. 2 (2024) - p. 1-14 , 2024

2

LGG-41. DECIPHERING PEDIATRIC LOW-GRADE GLIOMA TRAJECTORIES..:

Pardo, Juan Carlos Climent ; Zapaishchykova, Anna ; Boyd, Aidan...
Neuro-Oncology. 26 (2024) Supplement_4 - p. 0-0 , 2024

Link: https://doi.org/10.1093/..

3

LGG-15. DEEP LEARNING ENABLES LONGITUDINAL RISK PREDICTION ..:

Tak, Divyanshu ; Garomsa, Biniam Amsalu ; Zapaishchykova, Anna...
Neuro-Oncology. 26 (2024) Supplement_4 - p. 0-0 , 2024

Link: https://doi.org/10.1093/..

4

IMG-06. IMAGING-BASED, TEMPORALIS MUSCLE THICKNESS AS A BIO..:

Zapaishchykova, Anna ; Tak, Divyanshu ; Ye, Zezhong...
Neuro-Oncology. 26 (2024) Supplement_4 - p. 0-0 , 2024

Link: https://doi.org/10.1093/..

5

SegmentationReview: A Slicer3D extension for fast review of..:

Zapaishchykova, Anna ; Tak, Divyanshu ; Boyd, Aidan...
Software Impacts. 17 (2023) - p. 100536 , 2023

Link: https://doi.org/10.1016/..

6

LGG-05. IMAGING-BASED DEEP LEARNING FOR EVENT-FREE SURVIVAL..:

Zapaishchykova, Anna ; Hayat, Hasaan ; Ye, Zezhong...
Neuro-Oncology. 25 (2023) Supplement_1 - p. i56-i56 , 2023

Link: https://doi.org/10.1093/..

7

Automated temporalis muscle quantification and growth chart..:

Zapaishchykova, Anna ; Liu, Kevin X. ; Saraf, Anurag...
Nature Communications. 14 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

8

An Interpretable Approach to Automated Severity Scoring in ..:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021; Lecture Notes in Computer Science,

Zapaishchykova, Anna ; Dreizin, David ; Li, Zhaoshuo... - p. 424-433 , 2021

Link: https://doi.org/10.1007/..

9

Clean-AR: Using Augmented Reality for Reducing the Risk of ..:

Yu, Kevin ; Ostler, Daniel ; Fuchtmann, Jonas...
Current Directions in Biomedical Engineering. 7 (2021) 1 - p. 6-10 , 2021

Link: https://doi.org/10.1515/..

10

iTMT v1.0: Automated temporalis muscle segmentation and thi..:

Anna Zapaishchykova ; Kevin X. Liu ; Anurag Saraf Zezhong Ye Paul Catalano...
https://github.com/AIM-KannLab/itmt/tree/tmt. , 2023

Link: https://zenodo.org/recor..

11

Automated Temporalis Muscle Quantification and Growth Chart..:

Anna Zapaishchykova ; Benjamin H. Kann
doi:10.6084/m9.figshare.24179601.v1. , 2023

Link: https://doi.org/10.6084/..

12

Automated temporalis muscle quantification and growth chart..:

Anna Zapaishchykova ; Kevin X. Liu ; Anurag Saraf...
https://doi.org/10.1038/s41467-023-42501-1. , 2023

Link: https://doi.org/10.1038/..

13

LGG-05. IMAGING-BASED DEEP LEARNING FOR EVENT-FREE SURVIVAL..:

Zapaishchykova, Anna ; Hayat, Hasaan ; Ye, Zezhong...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10260001/. , 2023

Link: http://www.ncbi.nlm.nih...

14

The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus ..:

Kazerooni, Anahita Fathi ; Khalili, Nastaran ; Liu, Xinyang...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246083/. , 2023

Link: http://www.ncbi.nlm.nih...

15

Development and Validation of an Automated Image-Based Deep..:

Ye, Zezhong ; Saraf, Anurag ; Ravipati, Yashwanth...
Jama network open. , 2023

Link: https://aaltodoc.aalto.f..