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Addressing imaging accessibility by cross-modality transfer learning.

, , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)

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Early prediction of the Alzheimer's disease risk using Tau-PET and machine learning., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Addressing imaging accessibility by cross-modality transfer learning., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Application of Artificial Neural Networks to Medical Image Pattern Recognition: Detection of Clustered Microcalcifications on Mammograms and Lung Cancer on Chest Radiographs., , , and . VLSI Signal Processing, 18 (3): 263-274 (1998)A Shift-Invariant Neural Network for the Lung Field Segmentation in Chest Radiography., , , , and . VLSI Signal Processing, 18 (3): 241-250 (1998)Directional Edge Registration for Temporal Chest Image Substraction., , and . AIPR, page 32-38. IEEE Computer Society, (2001)A hybrid neural-digital computer-aided diagnosis system for lung nodule detection on digitized chest radiographs., , , , and . CBMS, page 207-212. IEEE Computer Society, (1994)Mammographic CADx system using an image library with an intelligent agent: a pattern matching approach., , , and . Medical Imaging: Image Processing, volume 6144 of SPIE Proceedings, page 61445O. SPIE, (2006)Changes of nodule detection after radiologists read bone opacity suppressed chest radiography., and . Medical Imaging: Computer-Aided Diagnosis, volume 8315 of SPIE Proceedings, page 83152S. SPIE, (2012)Likelihood Function Analysis for Segmentation of Mammographic Masses for Various Margin Groups., , , , , , and . ISBI, page 113-116. IEEE, (2004)Region-based enhancement of digital chest radiographs., , , , and . ICASSP, page 2211-2214. IEEE Computer Society, (1996)