| Robust Initialization of Active Shape Models for Lung Segmentation in CT Scans: A Feature-Based Atlas Approach G Gill, M Toews, RR Beichel International Journal of Biomedical Imaging, 2014 | 45 | 2014 |
| Soundscape classification with convolutional neural networks reveals temporal and geographic patterns in ecoacoustic data CA Quinn, P Burns, G Gill, S Baligar, RL Snyder, L Salas, SJ Goetz, ... Ecological Indicators 138, 108831, 2022 | 22 | 2022 |
| An approach for reducing the error rate in automated lung segmentation G Gill, RR Beichel Computers in Biology and Medicine 76, 143-153, 2016 | 22 | 2016 |
| Multi-view Object Detection Based on Spatial Consistency in a Low Dimensional Space. G Gill, M Levine DAGM-Symposium, 211-220, 2009 | 13 | 2009 |
| A method for avoiding overlap of left and right lungs in shape model guided segmentation of lungs in CT volumes G Gill, C Bauer, RR Beichel Medical physics 41 (10), 101908, 2014 | 11 | 2014 |
| Segmentation of Lungs with Interstitial Lung Disease in CT Scans: A TV- L1 Based Texture Analysis Approach G Gill, RR Beichel International Symposium on Visual Computing, 2014 | 8 | 2014 |
| A Single Classifier for View-Invariant Multiple Object Class Recognition. G Gill, M Levine BMVC, 257-266, 2006 | 5 | 2006 |
| Comparison of Pre-Trained vs Domain-Specific Convolutional Neural Networks for Classification of Interstitial Lung Disease JB Martinez, G Gill 2019 International Conference on Computational Science and Computational …, 2019 | 4 | 2019 |
| Lung Segmentation in 4D CT Volumes based on Robust Active Shape Model Matching G Gill, RR Beichel International Journal of Biomedical Imaging 2015 (Article ID 125648), 9, 2015 | 4 | 2015 |
| Searching for the holy grail: A completely automated 3D morphable model GS Gill, MD Levine Technical Report, March 15, 2005. Department of Electrical & Computer …, 2005 | 3 | 2005 |
| An Automated Initialization System for Robust Model-Based Segmentation of Lungs in CT Data G Gill, M Toews, RR Beichel Fifth International Workshop on Pulmonary Image analysis, 2013 | 1 | 2013 |
| Cyberinfrastructure for collecting and integrating geology field data: Community priorities and research agenda M Mookerjee, MA Chan, Y Gil, G Gill, C Goodwin, TL Pavlis, TF Shipley, ... Recent Advancement in Geoinformatics and Data Science, 2023 | | 2023 |
| Building a Geological Cyber-infrastructure: Automatically detecting Clasts in Photomicrographs B Katin, M Mookerjee, G Gill Authorea Preprints, 2022 | | 2022 |
| Utilizing Deep Learning for Mapping Dozer Lines from Aerial Imagery J Calderon Chavez, M Clark, G Gill Computer Science Conference for CSU Undergraduates, CSCSU, 2022 | | 2022 |
| Automatic Detection and Classification of Rock Microstructures through Machine Learning S Iota, J Liu, M Lyu, B Pan, X Wang, Y Gil, W AbdAlmageed, G Gill, ... AGU Fall Meeting Abstracts 2021, EP15H-08, 2021 | | 2021 |
| Classifying False Alarms in Camera Trap Images using Convolutional Neural Networks J Granados, C Halle, G Gill 2020 International Conference on Computational Science and Computational …, 2020 | | 2020 |
| Building a Geological Cyber-infrastructure: Automatically detecting Clasts in Photomicrographs AE Encarnacion, B Katin, M Mookerjee, G Gill | | 2020 |
| Building a Geological Cyber-infrastructure: Classifying Shear Sense of Clasts in Photomicrographs M Mookerjee, G Gill AGU Fall Meeting 2019, 2019 | | 2019 |
| Building a Model for a 3D Object Class in a Low Dimensional Space for Object Detection GS Gill McGill University, 2009 | | 2009 |
| Incorporating Shape Features in an Appearance-Based Object Detection System G Gill, M Levine Computer Analysis of Images and Patterns: 13th International Conference …, 2009 | | 2009 |
Martin D. LevineProfesor of Electrical & Computer Engineering, McGill UNiversity在 ieee.org 的电子邮件经过验证
