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Nicholas Nuechterlein
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Books and Theses
- 2023
- [b1]Nicholas Nuechterlein:
Radiomic and Genomic Approaches to Survival Stratification in Adult-type Diffuse Glioma. University of Washington, USA, 2023
Conference and Workshop Papers
- 2021
- [c4]Beibin Li, Nicholas Nuechterlein, Erin Barney, Claire E. Foster, Minah Kim, Monique Mahony, Adham Atyabi, Li Feng, Quan Wang, Pamela Ventola, Linda G. Shapiro, Frederick Shic:
Learning Oculomotor Behaviors from Scanpath. ICMI 2021: 407-415 - 2020
- [c3]Beibin Li, Erin Barney, Caitlin Hudac, Nicholas Nuechterlein, Pamela Ventola, Linda G. Shapiro, Frederick Shic:
Selection of Eye-Tracking Stimuli for Prediction by Sparsely Grouped Input Variables for Neural Networks: towards Biomarker Refinement for Autism. ETRA 2020: 21:1-21:8 - [c2]Nicholas Nuechterlein, Beibin Li, Mehmet Saygin Seyfioglu, Sachin Mehta, Patrick J. Cimino, Linda G. Shapiro:
Leveraging Unlabeled Data for Glioma Molecular Subtype and Survival Prediction. ICPR 2020: 7149-7156 - 2018
- [c1]Nicholas Nuechterlein, Sachin Mehta
:
3D-ESPNet with Pyramidal Refinement for Volumetric Brain Tumor Image Segmentation. BrainLes@MICCAI (2) 2018: 245-253
Informal and Other Publications
- 2021
- [i2]Beibin Li, Nicholas Nuechterlein, Erin Barney, Claire E. Foster, Minah Kim, Monique Mahony, Adham Atyabi, Li Feng, Quan Wang, Pamela Ventola, Linda G. Shapiro, Frederick Shic:
Learning Oculomotor Behaviors from Scanpath. CoRR abs/2108.05025 (2021) - 2019
- [i1]Beibin Li, Nicholas Nuechterlein, Erin Barney, Caitlin Hudac, Pamela Ventola, Linda G. Shapiro, Frederick Shic:
Sparsely Grouped Input Variables for Neural Networks. CoRR abs/1911.13068 (2019)
Coauthor Index
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