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Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images.

, , , , , , , and . IEEE Trans. Med. Imaging, 38 (1): 134-144 (2019)

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Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images., , , , , , , and . IEEE Trans. Med. Imaging, 38 (1): 134-144 (2019)Adaptively Dense Feature Pyramid Network for Object Detection., , and . IEEE Access, (2019)Local block-wise self attention for normal organ segmentation., , , , and . CoRR, (2019)Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation., , , , , , , and . MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 777-785. Springer, (2018)One shot PACS: Patient specific Anatomic Context and Shape prior aware recurrent registration-segmentation of longitudinal thoracic cone beam CTs., and . CoRR, (2022)Crowd Counting with Fully Convolutional Neural Network., , , , and . ICIP, page 953-957. IEEE, (2018)Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation., , , , , , and . CoRR, (2019)Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets., , , , , , and . CoRR, (2019)Comparison of Patch-Based Conditional Generative Adversarial Neural Net Models with Emphasis on Model Robustness for Use in Head and Neck Cases for MR-Only planning., , , , , , , and . CoRR, (2019)Skin color enhancement based on favorite skin color in HSV color space., , , and . IEEE Trans. Consumer Electronics, 56 (3): 1789-1793 (2010)