نتائج البحث

An investigation into augmentation and preprocessing for optimising X-ray classification in limited datasets: a case study on necrotising enterocolitis

• Authors : Nowak, Franciszek; Yung, Ka-Wai; Sivaraj, Jayaram

Subjects: Science & Technology; Technology; Life Sciences & Biomedicine

• Source: International Journal of Computer Assisted Radiology and Surgery (2024) (In press).

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TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning

• Authors : Pérez-García, F; Sparks, R; Ourselin, S

Subjects: Data augmentation; Deep learning; Medical image computing

• Source: Comput Methods Programs Biomed , 208 , Article 106236. (2021)

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Pseudo-Bayesian DIP Denoising as a Preprocessing Step for Kinetic Modelling in Dynamic PET

• Authors : Whitehead, Alexander C; Erlandsson, Kjell; Biguri, Ander

Subjects: Training; Uncertainty; Smoothing methods

• Source: In: 2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE: Milano, Italy. (2024)

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Optimising neonatal fMRI data analysis: Design and validation of an extended dHCP preprocessing pipeline to characterise noxious-evoked brain activity in infants

• Authors : Baxter, L; Fitzgibbon, S; Moultrie, F

Subjects: Developing human connectome project; Functional magnetic resonance imaging; Haemodynamic response function

• Source: Neuroimage , 186 pp. 286-300. (2019)

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Toward Generalized Psychovisual Preprocessing For Video Encoding

• Authors : Chadha, A; Anam, MA; Treder, M

Subjects: Deep neural networks; perceptual optimization; video delivery

• Source: SMPTE Motion Imaging Journal , 131 (4) pp. 39-44. (2022)

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A multi-measure approach for assessing the performance of fMRI preprocessing strategies in resting-state functional connectivity

• Authors : Kassinopoulos, M; Mitsis, GD

Subjects: aCompCor; Physiological noise; fMRI artifacts

• Source: Magnetic Resonance Imaging , 85 pp. 228-250. (2022)

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Deep perceptual preprocessing for video coding

• Authors : Chadha, A; Andreopoulos, Y

• Source: In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. (pp. pp. 14847-14856). IEEE (2021)

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Protective Behavior Detection in Chronic Pain Rehabilitation: From Data Preprocessing to Learning Model

• Authors : Wang, Chongyang

• Source: Doctoral thesis, UCL (University College London).

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tidytcells: standardizer for TR/MH nomenclature

• Authors : Nagano, Y; Chain, B

Subjects: T cell receptor (TCR); major histocompatibility complex (MHC); data preprocessing

• Source: Frontiers in Immunology , 14 , Article 1276106. (2023)

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Generative Models for Preprocessing of Hospital Brain Scans

• Authors : Brudfors, Mikael;

• Source: Doctoral thesis, UCL (University College London).

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