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Physical and Engineering Sciences in Medicine|June 1, 2024
Prediction of high-intensity focused ultrasound (HIFU)-induced lesion size using the echo amplitude from the focus in tissueYufeng Zhou, Xiaobo Gong, Yaqin You
Physical and Engineering Sciences in Medicine|May 16, 2024
Evaluation of output factors of different radiotherapy planning systems using Exradin W2 plastic scintillator detectorYasuharu Ando, Masahiro Okada, Natsuko Matsumoto, et al.
Physical and Engineering Sciences in Medicine|April 22, 2024
Resting state EEG assisted imagined vowel phonemes recognition by native and non-native speakers using brain connectivity measuresRuchi Juyal, Hariharan Muthusamy, Niraj Kumar, et al.
Physical and Engineering Sciences in Medicine|April 23, 2024
Transfer learning and self-distillation for automated detection of schizophrenia using single-channel EEG and scalogram imagesMohammadreza Mostafavi, Seok-Bum Ko, Shahriar Baradaran Shokouhi, et al.
Physical and Engineering Sciences in Medicine|January 26, 2026
An ECG feature extraction method based on GASF and MPRE2D for the detection of congestive heart failureJuanjuan Yang, Wenhui Wang, Caiping Xi
Physical and Engineering Sciences in Medicine|December 23, 2024
A novel approach in MRI signal processing for unveiling the intricacies of brain axonal organizationAshishi Puri, Sanjeev Kumar
Physical and Engineering Sciences in Medicine|December 18, 2024
Validating knowledge-based volumetric modulated arc therapy plans with a multi-institution model (broad model) using a complete open-loop dataset for prostate cancerTakaaki Ito, Kazuki Kubo, Ryuta Nakahara, et al.
Physical and Engineering Sciences in Medicine|January 9, 2025
Evaluating the prognostic value of radiomics and clinical features in metastatic prostate cancer using [68Ga]Ga-PSMA-11 PET/CTKaylee Molin, Nathaniel Barry, Suki Gill, et al.
Physical and Engineering Sciences in Medicine|December 31, 2024
Noninvasive machine-learning models for the detection of lesion-specific ischemia in patients with stable angina with intermediate stenosis severity on coronary CT angiographyHiroshi Hamasaki, Hidetaka Arimura, Yuzo Yamasaki, et al.
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