Chiharu Sako

14PUBLICATIONS
262CO-AUTHORS
Radiation therapySensory processes, perception and performanceGene expression (incl. microarray and other genome-wide approaches)Predictive and prognostic markersDeep learning
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Publications (14)

|May 13, 2026
Personalized machine learning-guided radiation dose escalation in newly diagnosed glioblastoma: prospective pilot study.

|Jul 08, 2025
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.

Maximilian Zenk, Ujjwal Baid, Sarthak Pati

|Mar 02, 2025
The radiogenomic and spatiogenomic landscapes of glioblastoma and their relationship to oncogenic drivers.

Anahita Fathi Kazerooni, Hamed Akbari, Xiaoju Hu

|Dec 13, 2024
Real-World and Clinical Trial Validation of a Deep Learning Radiomic Biomarker for PD-(L)1 Immune Checkpoint Inhibitor Response in Advanced Non-Small Cell Lung Cancer.

Chiharu Sako, Chong Duan, Kevin Maresca

|Sep 02, 2024
Predicting peritumoral glioblastoma infiltration and subsequent recurrence using deep-learning-based analysis of multi-parametric magnetic resonance imaging.

Sunwoo Kwak, Hamed Akbari, Jose A Garcia

|Jan 26, 2023
Author Correction: Federated learning enables big data for rare cancer boundary detection.

Sarthak Pati, Ujjwal Baid, Brandon Edwards

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Frequent Collaborators

12 joint publications

Spyridon Bakas

9 joint publications

Christos Davatzikos

7 joint publications

Sarthak Pati

7 joint publications

Suyash Mohan