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Deep learning vs. conventional methods for automatic quantification of total tumor radioactivity in positron projection images of mouse xenograft tumors.

, , , , , , and . Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 12036 of SPIE Proceedings, SPIE, (2022)

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Automated Detection and Characterization of Small Cell Lung Cancer Liver Metastases on CT., , , , , , , , , and . AIME (2), volume 14845 of Lecture Notes in Computer Science, page 40-44. Springer, (2024)No-Reference Image Quality Assessment Of T2-Weighted Magnetic Resonance Images In Prostate Cancer Patients., , , , , , , , and . ISBI, page 1201-1205. IEEE, (2021)Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation., , , , , , , , , and 7 other author(s). ECCV (21), volume 13681 of Lecture Notes in Computer Science, page 437-455. Springer, (2022)MAISI: Medical AI for Synthetic Imaging., , , , , , , , , and 1 other author(s). CoRR, (2024)Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation., , , , , , , , , and 1 other author(s). IEEE Trans. Medical Imaging, 39 (7): 2531-2540 (2020)Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan., , , , , , , , , and 10 other author(s). CoRR, (2020)Deep learning vs. conventional methods for automatic quantification of total tumor radioactivity in positron projection images of mouse xenograft tumors., , , , , , and . Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 12036 of SPIE Proceedings, SPIE, (2022)VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed Tomography., , , , , , , , , and 4 other author(s). CoRR, (2024)A Sparse Convolutional Autoencoder for Joint Feature Extraction and Clustering of Metastatic Prostate Cancer Images., , , , , , , and . AIME (2), volume 14845 of Lecture Notes in Computer Science, page 9-20. Springer, (2024)Location-Based Radiology Report-Guided Semi-Supervised Learning for Prostate Cancer Detection., , , , , , , , and . ISBI, page 1-5. IEEE, (2024)