Oncology | Radiology Optimizing double-layered convolutional neural networks for efficient lung cancer classification through hyperparameter optimization and advanced image pre-processing techniques. May 27, 2024
Neonatology | Radiology An investigation into augmentation and preprocessing for optimising X-ray classification in limited datasets: a case study on necrotising enterocolitis. April 23, 2024
Neurology | Radiology Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction models. March 26, 2024
Neurology | Neuroscience Survey on the research direction of EEG-based signal processing. July 31, 2023
Neurology | Radiology Extensive T1-weighted MRI Preprocessing Improves Generalizability of Deep Brain Age Prediction Models. May 22, 2023
Ophthalmology Facilitating deep learning through preprocessing of optical coherence tomography images. April 18, 2023
Biomedical Applications | Oncology | Pathology Cascaded Deep Convolutional Neural Networks as Improved Methods of Preprocessing Raman Spectroscopy Data. September 6, 2022
Bioinformatics | Cardiology Cuff-Less Blood Pressure Prediction from ECG and PPG Signals Using Fourier Transformation and Amplitude Randomization Preprocessing for Context Aggregation Network Training. March 24, 2022
Computer Vision | Deep Learning | Radiology TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning. July 26, 2021
Biomedical Engineering | Data Science | Sports Medicine Methods for preprocessing time and distance series data from personal monitoring devices. July 9, 2020
Structural Biology High-Throughput Cryo-EM Enabled by User-Free Preprocessing Routines. April 15, 2020
Chemistry | Material Science | Spectroscopy Single-Step Preprocessing of Raman Spectra Using Convolutional Neural Networks. January 21, 2020