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Deep learning-based pseudo-mass spectrometry imaging analysis for precision medicine.

, , , , , , , и . Briefings Bioinform., (2022)

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Computer extracted texture features on T2w MRI to predict biochemical recurrence following radiation therapy for prostate cancer., , , и . Medical Imaging: Computer-Aided Diagnosis, том 9035 из SPIE Proceedings, стр. 903509. SPIE, (2014)Quantitative evaluation of treatment related changes on multi-parametric MRI after laser interstitial thermal therapy of prostate cancer., , , , , , и . Medical Imaging: Image-Guided Procedures, том 8671 из SPIE Proceedings, стр. 86711F. SPIE, (2013)Deep learning-based pseudo-mass spectrometry imaging analysis for precision medicine., , , , , , , и . Briefings Bioinform., (2022)Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning., , , , , , , , , и 43 other автор(ы). IEEE Trans. Medical Imaging, 42 (3): 697-712 (марта 2023)BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images., , , и . CoRR, (2024)Anisotropic Super Resolution In Prostate Mri Using Super Resolution Generative Adversarial Networks., и . ISBI, стр. 1688-1691. IEEE, (2019)Detecting invasive breast carcinoma on dynamic contrast-enhanced MRI., и . Medical Imaging: Computer-Aided Diagnosis, том 11597 из SPIE Proceedings, SPIE, (2021)Framework for the co-registration of MRI and histology images in prostate cancer patients with radical prostatectomy., , , , , , и . Medical Imaging: Image Processing, том 10949 из SPIE Proceedings, стр. 109491P. SPIE, (2019)MIC-CUSP: Multimodal Image Correlations for Ultrasound-Based Prostate Cancer Detection., , , , , , , , , и 1 other автор(ы). ASMUS@MICCAI, том 14337 из Lecture Notes in Computer Science, стр. 121-131. Springer, (2023)Statistical 3D prostate imaging atlas construction via anatomically constrained registration., , , , , , , и . Medical Imaging: Image Processing, том 8669 из SPIE Proceedings, стр. 866913. SPIE, (2013)