Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Sako, Chiharu
85  Ergebnisse:
Personensuche X
?
1

Integrating imaging and genomic data for the discovery of d..:

Guo, Jun ; Fathi Kazerooni, Anahita ; Toorens, Erik...
Scientific Reports.  14 (2024)  1 - p. , 2024
Link: https://doi.org/10.1038/..
 
?
2

CTNI-56. FEASIBILITY AND EFFICACY OF AI-GUIDED PERSONALIZED..:

Akbari, Hamed ; Mohan, Suyash ; Kazerooni, Anahita Fathi...
Neuro-Oncology.  25 (2023)  Supplement_5 - p. v88-v89 , 2023
Link: https://doi.org/10.1093/..
 
?
3

NIMG-13. ROBUSTNESS OF PROGNOSTIC STRATIFICATION IN DE NOVO..:

Akbari, Hamed ; Bakas, Spyridon ; Garcia, Jose...
Neuro-Oncology.  25 (2023)  Supplement_5 - p. v187-v187 , 2023
Link: https://doi.org/10.1093/..
 
?
4

NIMG-66. RADIOGENOMICS-BASED HETEROGENEITY ANALYSIS OF GLIO..:

Yu, Fanyang ; Guo, Jun ; Kazerooni, Anahita Fathi...
Neuro-Oncology.  25 (2023)  Supplement_5 - p. v201-v201 , 2023
Link: https://doi.org/10.1093/..
 
?
5

Author Correction: Federated learning enables big data for ..:

Pati, Sarthak ; Baid, Ujjwal ; Edwards, Brandon...
Nature Communications.  14 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
?
6

EPID-15. SEX-SPECIFIC DIFFERENCES IN GLIOBLASTOMA IN THE RE..:

Gongala, Sree ; Garcia, Jose ; Korakavi, Nisha...
Neuro-Oncology.  25 (2023)  Supplement_5 - p. v118-v118 , 2023
Link: https://doi.org/10.1093/..
 
?
7

NIMG-39. BENCHMARKING MULTI-LABEL PREDICTION OF TARGET GENE..:

Yu, Fanyang ; Guo, Jun ; Kazerooni, Anahita Fathi...
Neuro-Oncology.  25 (2023)  Supplement_5 - p. v194-v194 , 2023
Link: https://doi.org/10.1093/..
 
?
8

Author Correction: Enhancing the REMBRANDT MRI collection w..:

Sayah, Anousheh ; Bencheqroun, Camelia ; Bhuvaneshwar, Krithika...
Scientific Data.  9 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
?
9

NIMG-33. PROGNOSTIC STRATIFICATION OF DE NOVO GLIOBLASTOMA ..:

Akbari, Hamed ; Bakas, Spyridon ; Sako, Chiharu...
Neuro-Oncology.  24 (2022)  Supplement_7 - p. vii170-vii170 , 2022
Link: https://doi.org/10.1093/..
 
?
10

NIMG-67. MULTI-PARAMETRIC MRI-BASED MACHINE LEARNING ANALYS..:

Akbari, Hamed ; Mohan, Suyash ; Garcia, Jose...
Neuro-Oncology.  24 (2022)  Supplement_7 - p. vii179-vii180 , 2022
Link: https://doi.org/10.1093/..
 
?
11

NIMG-37. JOINT LEARNING OF IMAGING AND GENOMIC DATA REVEALS..:

Guo, Jun ; Kazerooni, Anahita Fathi ; Akbari, Hamed...
Neuro-Oncology.  24 (2022)  Supplement_7 - p. vii171-vii171 , 2022
Link: https://doi.org/10.1093/..
 
?
12

Optimization of Deep Learning Based Brain Extraction in MRI..:

, In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries; Lecture Notes in Computer Science,
Thakur, Siddhesh P. ; Pati, Sarthak ; Panchumarthy, Ravi... - p. 151-167 , 2022
Link: https://doi.org/10.1007/..
 
?
13

The University of Pennsylvania glioblastoma (UPenn-GBM) coh..:

Bakas, Spyridon ; Sako, Chiharu ; Akbari, Hamed...
Scientific Data.  9 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
?
14

NIMG-29. ASSOCIATION OF PARTIAL T2-FLAIR MISMATCH SIGN AND ..:

Lee, Matthew ; Sako, Chiharu ; Patel, Sohil...
Neuro-Oncology.  24 (2022)  Supplement_7 - p. vii168-vii169 , 2022
Link: https://doi.org/10.1093/..
 
?
15

NIMG-22. AN AI-BASED COORDINATE SYSTEM ELUCIDATES RADIOGENO..:

Yu, Fanyang ; Kazerooni, Anahita Fathi ; Toorens, Erik...
Neuro-Oncology.  24 (2022)  Supplement_7 - p. vii166-vii166 , 2022
Link: https://doi.org/10.1093/..
 
1-15