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Adam P. Harrison
Adam P. Harrison
Director of Research Operations, Riverain Technology
Verified email at riveraintech.com - Homepage
Title
Cited by
Cited by
Year
Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation
HR Roth, L Lu, N Lay, AP Harrison, A Farag, A Sohn, RM Summers
Medical image analysis 45, 94-107, 2018
4292018
CT-realistic lung nodule simulation from 3D conditional generative adversarial networks for robust lung segmentation
D Jin, Z Xu, Y Tang, AP Harrison, DJ Mollura
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
2132018
Deep lesion graphs in the wild: relationship learning and organization of significant radiology image findings in a diverse large-scale lesion database
K Yan, X Wang, L Lu, L Zhang, AP Harrison, M Bagheri, RM Summers
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1812018
Attention-guided curriculum learning for weakly supervised classification and localization of thoracic diseases on chest radiographs
Y Tang, X Wang, AP Harrison, L Lu, J Xiao, RM Summers
Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018 …, 2018
1622018
Progressive and multi-path holistically nested neural networks for pathological lung segmentation from CT images
AP Harrison, Z Xu, K George, L Lu, RM Summers, DJ Mollura
International conference on medical image computing and computer-assisted …, 2017
1592017
Learning from multiple datasets with heterogeneous and partial labels for universal lesion detection in CT
K Yan, J Cai, Y Zheng, AP Harrison, D Jin, Y Tang, Y Tang, L Huang, ...
IEEE Transactions on Medical Imaging 40 (10), 2759-2770, 2020
802020
Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search
D Guo, D Jin, Z Zhu, TY Ho, AP Harrison, CH Chao, J Xiao, L Lu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
782020
Accurate weakly-supervised deep lesion segmentation using large-scale clinical annotations: Slice-propagated 3d mask generation from 2d recist
J Cai, Y Tang, L Lu, AP Harrison, K Yan, J Xiao, L Yang, RM Summers
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
702018
SAM: Self-supervised learning of pixel-wise anatomical embeddings in radiological images
K Yan, J Cai, D Jin, S Miao, D Guo, AP Harrison, Y Tang, J Xiao, J Lu, ...
IEEE Transactions on Medical Imaging 41 (10), 2658-2669, 2022
682022
3D convolutional neural networks with graph refinement for airway segmentation using incomplete data labels
D Jin, Z Xu, AP Harrison, K George, DJ Mollura
Machine Learning in Medical Imaging: 8th International Workshop, MLMI 2017 …, 2017
672017
DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy
D Jin, D Guo, TY Ho, AP Harrison, J Xiao, C Tseng, L Lu
Medical Image Analysis 68, 101909, 2021
602021
Deep hierarchical multi-label classification of chest X-ray images
H Chen, S Miao, D Xu, GD Hager, AP Harrison
International Conference on Medical Imaging with Deep Learning, 109-120, 2019
602019
Iterative attention mining for weakly supervised thoracic disease pattern localization in chest x-rays
J Cai, L Lu, AP Harrison, X Shi, P Chen, L Yang
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
602018
Accurate esophageal gross tumor volume segmentation in PET/CT using two-stream chained 3D deep network fusion
D Jin, D Guo, TY Ho, AP Harrison, J Xiao, CK Tseng, L Lu
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
592019
CT image enhancement using stacked generative adversarial networks and transfer learning for lesion segmentation improvement
Y Tang, J Cai, L Lu, AP Harrison, K Yan, J Xiao, L Yang, RM Summers
Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018 …, 2018
532018
Weakly supervised universal fracture detection in pelvic x-rays
Y Wang, L Lu, CT Cheng, D Jin, AP Harrison, J Xiao, CH Liao, S Miao
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
462019
Pathological pulmonary lobe segmentation from CT images using progressive holistically nested neural networks and random walker
K George, AP Harrison, D Jin, Z Xu, DJ Mollura
International Workshop on Deep Learning in Medical Image Analysis, 195-203, 2017
442017
Semi-automatic RECIST labeling on CT scans with cascaded convolutional neural networks
Y Tang, AP Harrison, M Bagheri, J Xiao, RM Summers
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
372018
Deep lesion tracker: Monitoring lesions in 4d longitudinal imaging studies
J Cai, Y Tang, K Yan, AP Harrison, J Xiao, G Lin, L Lu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
362021
Co-heterogeneous and adaptive segmentation from multi-source and multi-phase CT imaging data: A study on pathological liver and lesion segmentation
A Raju, CT Cheng, Y Huo, J Cai, J Huang, J Xiao, L Lu, CH Liao, ...
European Conference on Computer Vision, 448-465, 2020
352020
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