Showing results (5741-5750 of 7,720) with videos related to

Sort By:
Pageof 772
Computer Methods and Programs in Biomedicine|July 16, 2026
A parameter computation and optimization method in multi-directional exciting tumor treating fieldsYuwei Zhao, Shihong Yue, Keyi Fu
Computer Methods and Programs in Biomedicine|July 20, 2026
A semi-supervised deep learning and IoMT framework for robust prostate cancer grading under imperfect histopathology data conditionsImran Ahmed, Jin Zhang, Silvia Cirstea, et al.
Computer Methods and Programs in Biomedicine|July 28, 2026
Applications of quantum AI in brain disorder diagnosis: A systematic reviewMahboobeh Jafari, Zhaohui Tang, U Rajendra Acharya, et al.
Computer Methods and Programs in Biomedicine|August 5, 2026
Reinforcement learning-based dynamic ensemble for missense variant effect prediction and tiered prioritization of VUSSyed Hassan Abbas, Jun Wu, Tieliu Shi
Computer Methods and Programs in Biomedicine|September 15, 2009
Metabolica: a statistical research tool for analyzing metabolic networksJenni Heino, Daniela Calvetti, Erkki Somersalo
Computer Methods and Programs in Biomedicine|August 28, 2026
Disentangled conditional generation of ECG signals with interpretable latent factorsRong Xiao, Zhijun Xiao, Jianqing Li, et al.
Computer Methods and Programs in Biomedicine|July 30, 2026
Sigmatism detection from child speech spectrograms using convolutional autoencoders and support vector machinesWojciech Pieniążek, Maria Filipek, Oliwia Skórzewska, et al.
Computer Methods and Programs in Biomedicine|July 31, 2026
Global and local pseudo-label filtering for semi-supervised carotid plaque classification from ultrasoundRan Zhou, Wei Deng, Wenjie Yu, et al.
Computer Methods and Programs in Biomedicine|August 18, 2026
SpheroSeg: Advancing tumor spheroid analysis through open-source deep learningMichal Průšek, Adam Novozámský, Jan Škubník, et al.
Computer Methods and Programs in Biomedicine|August 19, 2026
Multi-view explainability and ensemble deep learning for prostate lesion classification: A comprehensive studyMehmet A Gulum, Mehmed Kantardzic, Christopher M Trombley, et al.
Pageof 772