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CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation.

D. Jin, Z. Xu, Y. Tang, A. Harrison, and D. Mollura. MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 732-740. Springer, (2018)

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Adam Gyula University of Stuttgart

Harrison Hildebrandt University of Stuttgart

Sabrina Adam University of Stuttgart

Galina Adam University of Stuttgart

Univ. -Prof. a. D. Dr. -Ing. Jürgen Axel Adam University of Stuttgart

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White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections.D. Jin, Z. Xu, A. Harrison, and D. Mollura. CoRR, (2018)Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling.M. Gao, Z. Xu, L. Lu, A. Harrison, R. Summers, and D. Mollura. CoRR, (2017)Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST.J. Cai, Y. Tang, L. Lu, A. Harrison, K. Yan, J. Xiao, L. Yang, and R. Summers. CoRR, (2018)Deep Esophageal Clinical Target Volume Delineation using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk.D. Jin, D. Guo, T. Ho, A. Harrison, J. Xiao, C. Tseng, and L. Lu. CoRR, (2019)Random Hinge Forest for Differentiable Learning.N. Lay, A. Harrison, S. Schreiber, G. Dawer, and A. Barbu. CoRR, (2018)CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement.Y. Tang, J. Cai, L. Lu, A. Harrison, K. Yan, J. Xiao, L. Yang, and R. Summers. MLMI@MICCAI, volume 11046 of Lecture Notes in Computer Science, page 46-54. Springer, (2018)Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs.Y. Tang, X. Wang, A. Harrison, L. Lu, J. Xiao, and R. Summers. MLMI@MICCAI, volume 11046 of Lecture Notes in Computer Science, page 249-258. Springer, (2018)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, A. Harrison, M. Bagheri, and R. Summers. CoRR, (2017)Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation.H. Roth, L. Lu, N. Lay, A. Harrison, A. Farag, A. Sohn, and R. Summers. CoRR, (2017)Progressive and Multi-path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images.A. Harrison, Z. Xu, K. George, L. Lu, R. Summers, and D. Mollura. MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 621-629. Springer, (2017)