Author Info
Name
Affiliation
Papers
ADAM P. HARRISON
Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada T6G 2V4
41
Collaborators
Citations 
PageRank 
84
101
17.06
Referers 
Referees 
References 
404
1008
311
Search Limit
1001000
Title
Citations
PageRank
Year
SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiological Images00.342022
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation.00.342022
Localized Adversarial Domain Generalization00.342022
Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction - A Physician-Inspired Approach.00.342021
Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT00.342021
Hetero-Modal Learning and Expansive Consistency Constraints for Semi-supervised Detection from Multi-sequence Data.00.342021
Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings00.342021
Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies00.342021
DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy20.372021
Lesion-Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale00.342021
SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings00.342021
Contour Transformer Network for One-Shot Segmentation of Anatomical Structures00.342021
Window Loss For Bone Fracture Detection And Localization In X-Ray Images With Point-Based Annotation00.342021
Organ At Risk Segmentation For Head And Neck Cancer Using Stratified Learning And Neural Architecture Search10.342020
Deep hiearchical multi-label classification applied to chest X-ray abnormality taxonomies10.482020
CT Data Curation for Liver Patients - Phase Recognition in Dynamic Contrast-Enhanced CT.00.342019
Weakly Supervised Universal Fracture Detection in Pelvic X-Rays10.352019
Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT Using Two-Stream Chained 3D Deep Network Fusion20.362019
Deep Esophageal Clinical Target Volume Delineation Using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk.10.352019
Deep Hierarchical Multi-label Classification of Chest X-ray Images.00.342019
High Performance Rearrangement and Multiplication Routines for Sparse Tensor Arithmetic.10.352018
Semi-Automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks.20.422018
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation.120.662018
Random Hinge Forest for Differentiable Learning.10.352018
White Matter Hyperintensity Segmentation From T1 And Flair Images Using Fully Convolutional Neural Networks Enhanced With Residual Connections00.342018
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays.20.392018
Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs.100.512018
Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST.30.412018
Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation.261.672018
Deep Medical Image Computing in Preventive and Precision Medicine.10.342018
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement.10.352018
Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST.10.462018
3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels.10.382017
Progressive and Multi-Path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images.170.702017
Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling.00.342017
Pathological Pulmonary Lobe Segmentation From Ct Images Using Progressive Holistically Nested Neural Networks And Random Walker10.342017
Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection.30.442016
Numeric tensor framework: Exploiting and extending Einstein notation.20.382016
IntellEditS: Intelligent Learning-Based Editor of Segmentations.30.442013
Translational photometric alignment of single-view image sequences00.342012
Maximum Likelihood Estimation of Depth Maps Using Photometric Stereo60.442012