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Gregory G. Slabaugh
- > Home > Persons > Gregory G. Slabaugh
Publications
- 2024
- [i38]Abbas Khan, Muhammad Asad, Martin Benning, Caroline H. Roney, Gregory G. Slabaugh:
Crop and Couple: cardiac image segmentation using interlinked specialist networks. CoRR abs/2402.09156 (2024) - 2023
- [c103]Abbas Khan, Muhammad Asad, Alexander M. Zolotarev, Caroline H. Roney, Anthony Mathur, Martin Benning, Gregory G. Slabaugh:
Misclassification Loss for Segmentation of the Aortic Vessel Tree. SEG.A@MICCAI 2023: 67-79 - 2020
- [c87]Muhammad Asad, Rilwan Remilekun Basaru, S. M. Masudur Rahman Al-Arif, Greg G. Slabaugh:
PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks. ICPR 2020: 481-488 - 2018
- [j31]Atif Riaz, Muhammad Asad, Eduardo Alonso, Gregory G. Slabaugh:
Fusion of fMRI and non-imaging data for ADHD classification. Comput. Medical Imaging Graph. 65: 115-128 (2018) - [c80]Atif Riaz, Muhammad Asad, S. M. Masudur Rahman Al-Arif, Eduardo Alonso, Danai Dima, Philip Corr, Greg G. Slabaugh:
Deep fMRI: AN end-to-end deep network for classification of fMRI data. ISBI 2018: 1419-1422 - [i5]Muhammad Asad, Rilwan Remilekun Basaru, S. M. Masudur Rahman Al-Arif, Greg G. Slabaugh:
PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks. CoRR abs/1807.10937 (2018) - 2017
- [j23]Muhammad Asad, Gregory G. Slabaugh:
SPORE: Staged Probabilistic Regression for Hand Orientation Inference. Comput. Vis. Image Underst. 161: 114-129 (2017) - [j22]S. M. Masudur Rahman Al-Arif, Muhammad Asad, Michael Gundry, Karen Knapp, Gregory G. Slabaugh:
Patch-based corner detection for cervical vertebrae in X-ray images. Signal Process. Image Commun. 59: 27-36 (2017) - [c73]Anfisa Lazareva, Muhammad Asad, Gregory G. Slabaugh:
Learning to Deblur Adaptive Optics Retinal Images. ICIAR 2017: 497-506 - [c70]Nathan Olliverre, Muhammad Asad, Guang Yang, Franklyn A. Howe, Gregory G. Slabaugh:
Pairwise mixture model for unmixing partial volume effect in multi-voxel MR spectroscopy of brain tumour patients. Medical Imaging: Computer-Aided Diagnosis 2017: 101341R - [c68]Atif Riaz, Muhammad Asad, S. M. Masudur Rahman Al-Arif, Eduardo Alonso, Danai Dima, Philip Corr, Greg G. Slabaugh:
FCNet: A Convolutional Neural Network for Calculating Functional Connectivity from Functional MRI. CNI@MICCAI 2017: 70-78 - 2016
- [c62]Muhammad Asad, Greg G. Slabaugh:
Learning Marginalization through Regression for Hand Orientation Inference. CVPR Workshops 2016: 1215-1223 - [c58]Muhammad Asad, Guang Yang, Gregory G. Slabaugh:
Supervised partial volume effect unmixing for brain tumor characterization using multi-voxel MR spectroscopic imaging. ISBI 2016: 436-439 - 2015
- [c51]Muhammad Asad, Enguerrand Gentet, Rilwan Remilekun Basaru, Gregory G. Slabaugh:
Generatinga 3D hand model from frontal color and range scans. ICIP 2015: 4589-4593 - [c50]S. M. Masudur Rahman Al-Arif, Muhammad Asad, Karen Knapp, Michael Gundry, Greg G. Slabaugh:
Cervical vertebral corner detection using haar-like features and modified hough forest. IPTA 2015: 417-422 - [c47]S. M. Masudur Rahman Al-Arif, Muhammad Asad, Karen Knapp, Michael Gundry, Gregory G. Slabaugh:
Hough Forest-based Corner Detection for Cervical Spine Radiographs. MIUA 2015: 183-188 - 2014
- [c45]Muhammad Asad, Greg G. Slabaugh:
Hand Orientation Regression Using Random Forest for Augmented Reality. AVR 2014: 159-174
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last updated on 2024-04-25 05:54 CEST by the dblp team
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