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Accelerating Image Registration With the Johnson-Lindenstrauss Lemma: Application to Imaging 3-D Neural Ultrastructure With Electron Microscopy.

, , , and . IEEE Trans. Med. Imaging, 30 (7): 1427-1438 (2011)

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3D Convolutional Sequence to Sequence Model for Vertebral Compression Fractures Identification in CT., , , , , , and . MICCAI (6), volume 12266 of Lecture Notes in Computer Science, page 743-752. Springer, (2020)Deep Learning for Automatic Detection of Abnormal Findings in Breast Mammography., , , , , , and . DLMIA/ML-CDS@MICCAI, volume 10553 of Lecture Notes in Computer Science, page 321-329. Springer, (2017)A Region Based Convolutional Network for Tumor Detection and Classification in Breast Mammography., , , , , and . LABELS/DLMIA@MICCAI, volume 10008 of Lecture Notes in Computer Science, page 197-205. (2016)Sequence alignment of in-utero fetal tissue MRI in mice., , and . ISBI, page 786-789. IEEE, (2014)Domain specific convolutional neural nets for detection of architectural distortion in mammograms., , , and . ISBI, page 552-556. IEEE, (2017)Mammogram Classification and Abnormality Detection from Nonlocal Labels using Deep Multiple Instance Neural Network., , , , , and . VCBM, page 11-19. Eurographics Association, (2017)Accelerating Image Registration With the Johnson-Lindenstrauss Lemma: Application to Imaging 3-D Neural Ultrastructure With Electron Microscopy., , , and . IEEE Trans. Med. Imaging, 30 (7): 1427-1438 (2011)Prior Knowledge Driven Multiscale Segmentation of Brain MRI., , , , and . MICCAI (2), volume 4792 of Lecture Notes in Computer Science, page 118-126. Springer, (2007)Siamese Network for Dual-View Mammography Mass Matching., , , and . RAMBO+BIA+TIA@MICCAI, volume 11040 of Lecture Notes in Computer Science, page 55-63. Springer, (2018)The Case of Missed Cancers: Applying AI as a Radiologist's Safety Net., , , , , , , , , and 2 other author(s). MICCAI (6), volume 12266 of Lecture Notes in Computer Science, page 220-229. Springer, (2020)