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Chiharu Sako

University of Pennsylvania
H指数:20
被引数:2,030

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Personalized machine learning-guided radiation dose escalation in newly diagnosed glioblastoma: prospective pilot study

基于个性化机器学习指导的 Newly Diagnosed Glioblastoma 患者放射剂量递增:前瞻性试点研究

2026-05-130
OAAI
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge

通过联合肿瘤分割 (FeTS) 挑战实现医疗AI算法的公平分散基准测试

2025-07-080
OAAI
The radiogenomic and spatiogenomic landscapes of glioblastoma and their relationship to oncogenic drivers
2025-03-010
OA
AI-GUIDED PERSONALIZED PRECISION RADIATION THERAPY WITH TARGETED DOSE ESCALATION FOR NEWLY DIAGNOSED GLIOBLASTOMA: A MATCHED-CONTROL STUDY
2024-11-110
PRE
SUBTYPING GLIOBLASTOMA FROM JOINT CLUSTERING OF IMAGING AND GENOMIC DATA
2024-11-110
PRE
Integrating imaging and genomic data for the discovery of distinct glioblastoma subtypes: a joint learning approach
2024-02-286
OAAI
Federated learning enables big data for rare cancer boundary detection (vol 13, 7346, 2022)
2023-01-263
OAAI
Federated learning enables big data for rare cancer boundary detection

联邦学习支持罕见癌症边界检测的大数据

2022-12-05110
OAAI
The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics

宾夕法尼亚大学胶质母细胞瘤 (upenn-gbm) 队列: 先进的MRI,临床,基因组学和放射组学

2022-07-290
OAAI
Clinical measures, radiomics, and genomics offer synergistic value in AI-based prediction of overall survival in patients with glioblastoma
2022-05-2441
OAAI
Machine Learning Using Multiparametric Magnetic Resonance Imaging Radiomic Feature Analysis to Predict Ki-67 in World Health Organization Grade I Meningiomas
2021-11-0130
OA
Quantification of tumor microenvironment acidity in glioblastoma using principal component analysis of dynamic susceptibility contrast enhanced MR imaging
2021-07-2215
OAAI
Multi-institutional noninvasive in vivo characterization of IDH, 1p/19q, and EGFRvIII in glioma using neuro-Cancer Imaging Phenomics Toolkit (neuro-CaPTk)
2021-01-2318
OAAI
Cancer Imaging Phenomics via CaPTk: Multi-Institutional Prediction of Progression-Free Survival and Pattern of Recurrence in Glioblastoma
2020-11-0133
OAAI
AI-based prognostic imaging biomarkers for precision neuro-oncology: the ReSPOND consortium
2020-03-1037
OA