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Adam P Harrison

Showing results (1-10 of 17) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|December 21, 2011
Maximum Likelihood Estimation of Depth Maps Using Photometric StereoAdam P Harrison, Dileepan Joseph
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 8, 2014
IntellEditS: intelligent learning-based editor of segmentationsAdam P Harrison, Neil Birkbeck, Michal Sofka
Medical Image Analysis|September 16, 2020
Deep hiearchical multi-label classification applied to chest X-ray abnormality taxonomiesHaomin Chen, Shun Miao, Daguang Xu, et al.
Medical Physics|March 24, 2017
A multichannel block-matching denoising algorithm for spectral photon-counting CT imagesAdam P Harrison, Ziyue Xu, Amir Pourmorteza, et al.
Medical Physics|October 14, 2017
Erratum: "A multichannel block-matching denoising algorithm for spectral photon-counting CT images" [Med. Phys. 44, 2447-2452 (2017)]Adam P Harrison, Ziyue Xu, Amir Pourmorteza, et al.
IEEE Transactions on Medical Imaging|September 7, 2020
Lesion-Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at ScaleJinzheng Cai, Adam P Harrison, Youjing Zheng, et al.
Medical Image Analysis|February 11, 2018
Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentationHolger R Roth, Le Lu, Nathan Lay, et al.
Medical Image Analysis|December 20, 2020
DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapyDakai Jin, Dazhou Guo, Tsung-Ying Ho, et al.
IEEE Transactions on Medical Imaging|December 28, 2020
Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CTKe Yan, Jinzheng Cai, Youjing Zheng, et al.
IEEE Transactions on Medical Imaging|April 20, 2022
SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiological ImagesKe Yan, Jinzheng Cai, Dakai Jin, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 21, 2011
Maximum Likelihood Estimation of Depth Maps Using Photometric StereoAdam P Harrison, Dileepan Joseph
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 8, 2014
IntellEditS: intelligent learning-based editor of segmentationsAdam P Harrison, Neil Birkbeck, Michal Sofka
Medical Image Analysis|September 16, 2020
Deep hiearchical multi-label classification applied to chest X-ray abnormality taxonomiesHaomin Chen, Shun Miao, Daguang Xu, et al.
Medical Physics|March 24, 2017
A multichannel block-matching denoising algorithm for spectral photon-counting CT imagesAdam P Harrison, Ziyue Xu, Amir Pourmorteza, et al.
Medical Physics|October 14, 2017
Erratum: "A multichannel block-matching denoising algorithm for spectral photon-counting CT images" [Med. Phys. 44, 2447-2452 (2017)]Adam P Harrison, Ziyue Xu, Amir Pourmorteza, et al.
IEEE Transactions on Medical Imaging|September 7, 2020
Lesion-Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at ScaleJinzheng Cai, Adam P Harrison, Youjing Zheng, et al.
Medical Image Analysis|February 11, 2018
Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentationHolger R Roth, Le Lu, Nathan Lay, et al.
Medical Image Analysis|December 20, 2020
DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapyDakai Jin, Dazhou Guo, Tsung-Ying Ho, et al.
IEEE Transactions on Medical Imaging|December 28, 2020
Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CTKe Yan, Jinzheng Cai, Youjing Zheng, et al.
IEEE Transactions on Medical Imaging|April 20, 2022
SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiological ImagesKe Yan, Jinzheng Cai, Dakai Jin, et al.
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