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Categorizing Extent of Tumor Cell Death Response to Cancer Therapy Using Quantitative Ultrasound Spectroscopy and Maximum Mean Discrepancy.

, , , , , and . IEEE Trans. Med. Imaging, 33 (6): 1390-1400 (2014)

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Kernelized Supervised Dictionary Learning.. University of Waterloo, Ontario, Canada, (2013)base-search.net (ftunivwaterloo:oai:uwspace.uwaterloo.ca:10012/7455).Supervised Dictionary Learning and Sparse Representation-A Review., , , and . CoRR, (2015)Localization and classification of cell nuclei in post-neoadjuvant breast cancer surgical specimen using fully convolutional networks., , , , , , and . Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 105810O. SPIE, (2018)Unsupervised Visual Changepoint Detection Using Maximum Mean Discrepancy., , and . ICIAR, volume 7950 of Lecture Notes in Computer Science, page 336-345. Springer, (2013)Response monitoring using quantitative ultrasound methods and supervised dictionary learning in locally advanced breast cancer., , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 978413. SPIE, (2016)Fast and Scalable Feature Selection for Gene Expression Data Using Hilbert-Schmidt Independence Criterion., , and . IEEE ACM Trans. Comput. Biol. Bioinform., 14 (1): 167-181 (2017)End-to-End Unsupervised Document Image Blind Denoising., , , and . CoRR, (2021)Cancer therapy prognosis using quantitative ultrasound spectroscopy and a kernel-based metric., , , and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 903406. SPIE, (2014)Supervised Texture Classification Using a Novel Compression-Based Similarity Measure., , and . ICCVG, volume 7594 of Lecture Notes in Computer Science, page 379-386. Springer, (2012)Multiple Classifier Systems in Texton-Based Approach for the Classification of CT Images of Lung., , , , and . MCV, volume 6533 of Lecture Notes in Computer Science, page 153-163. Springer, (2010)