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Items where Author is "Slabaugh, G. G."

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Riaz, A., Asad, M., Alonso, E. ORCID: 0000-0002-3306-695X & Slabaugh, G. G. (2020). DeepFMRI: End-to-end deep learning for functional connectivity and classification of ADHD using fMRI. Journal of Neuroscience Methods, 335, article number 108506. doi: 10.1016/j.jneumeth.2019.108506

Solis-Lemus, J. A., Stramer, B., Slabaugh, G. G. & Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018 (2019). MacroSight: A novel framework to analyze the shape and movement of interacting macrophages using MAtLABR †. Journal of Imaging, 5(1), article number 17. doi: 10.3390/jimaging5010017

Slabaugh, G. G. & Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018 (2018). Guest Editorial: Computer Vision in Cancer Data Analysis. IET Computer Vision, 12(8), pp. 1047-1048. doi: 10.1049/iet-cvi.2018.5606

Olliverre, N. J., Yang, G., Slabaugh, G. G. , Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018 & Alonso, E. (2018). Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models. In: Simulation and Synthesis in Medical Imaging. SASHIMI 2018: Simulation and Synthesis in Medical Imaging, 16 Sep 2018, Granada, Spain. doi: 10.1007/978-3-030-00536-8_14

Solis-Lemus, J. A., Stramer, B., Slabaugh, G. G. & Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018 (2018). Analysis of the Interactions of Migrating Macrophages. Communications in Computer and Information Science, 2018, pp. 262-273. doi: 10.1007/978-3-319-95921-4_25

Basaru, R. R., Child, C. H. T., Alonso, E. & Slabaugh, G. G. (2018). Conditional Regressive Random Forest Stereo-based Hand Depth Recovery. 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), pp. 614-622. doi: 10.1109/ICCVW.2017.78

Jawaid, M. M., Narejo, S., Pirzada, N. , Baloch, J., Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018 & Slabaugh, G. G. (2018). Automated quantification of non-calcified coronary plaques in cardiac CT angiographic imagery. International Journal of Advanced Computer Science and Applications, 9(7), pp. 216-222. doi: 10.14569/ijacsa.2018.090731

Basaru, R. R., Slabaugh, G. G., Alonso, E. & Child, C. H. T. (2018). Data-driven Recovery of Hand Depth using Conditional Regressive Random Forest on Stereo Images. IET Computer Vision, 12(5), pp. 666-678. doi: 10.1049/iet-cvi.2017.0227

Riaz, A., Asad, M., Al-Arif, S. M. , Alonso, E. ORCID: 0000-0002-3306-695X, Dima, D. ORCID: 0000-0002-2598-0952, Corr, P. J. ORCID: 0000-0002-7618-0058 & Slabaugh, G. G. (2018). DeepFMRI: And End-to-End Deep Network for Classification of FRMI Data. 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), pp. 1419-1422. doi: 10.1109/ISBI.2018.8363838

Solis-Lemus, J. A., Stramer, B., Slabaugh, G. G. & Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018 (2018). Shape analysis and tracking of migrating macrophages. 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), pp. 1006-1009. doi: 10.1109/ISBI.2018.8363741

Solis-Lemus, J. A., Stramer, B., Slabaugh, G. G. & Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018 (2017). Segmentation and Shape Analysis of Macrophages Using Anglegram Analysis. Journal of Imaging, 4(1), article number 2. doi: 10.3390/jimaging4010002

Riaz, A., Asad, M., Alonso, E. & Slabaugh, G. G. (2017). Fusion of fMRI and Non-Imaging Data for ADHD Classification. Computerized Medical Imaging and Graphics, 65, pp. 115-128. doi: 10.1016/j.compmedimag.2017.10.002

Reyes-Aldasoro, C. C. & Slabaugh, G. G. (2017). Special issue: medical image understanding and analysis. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 5(5), article number 317. doi: 10.1080/21681163.2015.1081080

Slabaugh, G. G., Knapp, K. & Al-Arif, S. M. (2017). Probabilistic Spatial Regression using a Deep Fully Convolutional Neural Network. In: Proceedings of the British Machine Vision Conference (BMVC). (154.1-154.12). BMVA Press.

Basaru, R. R., Child, C. H. T., Alonso, E. & Slabaugh, G. G. (2017). Hand Pose Estimation Using Deep Stereovision and Markov-chain Monte Carlo. Paper presented at the International Conference on Computer Vision Workshop on Observing and Understanding Hands in Action, 23 Oct 2017, Venice, Italy.

Albrecht, T., Slabaugh, G. G., Alonso, E. & Al-Arif, M. R. (2017). Deep Learning for Single-Molecule Science. Nanotechnology, 28(42), article number 423001. doi: 10.1088/1361-6528/aa8334

Jawaid, M. M., Rajani, R., Liatsis, P. , Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018 & Slabaugh, G. G. (2017). Improved CTA Coronary Segmentation with a Volume-Specific Intensity Threshold. Paper presented at the Medical Image Understanding and Analysis (MIUA) 2017, 11 Jul 2017, Edinburgh, UK.

Yang, G., Zhuang, X., Khan, H. , Haldar, S., Nyktari, E., Ye, X., Slabaugh, G. G., Wong, T., Mohiaddin, R., Keegan, J. & Firman, D. (2017). Segmenting Atrial Fibrosis from late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders. Paper presented at the Medical Image Understanding and Analysis (MIUA) 2017, 11 Jul 2017, Edinburgh, UK.

Solis Lemus, J., Stramer, B., Slabaugh, G. G. & Reyes-Aldasoro, C. C. (2017). Segmentation of Overlapping Macrophages Using Anglegram Analysis. Paper presented at the Medical Image Understanding and Analysis (MIUA) 2017, 11 Jul 2017, Edinburgh, UK.

Slabaugh, G. G., Gundry, M., Knapp, K. , Asad, M. & Al Arif, S. M. M. R. (2017). Patch-based Corner Detection for Cervical Vertebrae in X-ray Images. Signal Processing: Image Communication, 59, pp. 27-36. doi: 10.1016/j.image.2017.04.002

Jawaid, M. M., Rajani, R., Liatsis, P. , Reyes-Aldasoro, C. C. & Slabaugh, G. G. (2017). A Hybrid Energy Model for Region Based Curve Evolution - Application to CTA Coronary Segmentation. Computer Methods and Programs in Biomedicine, 144, pp. 189-202. doi: 10.1016/j.cmpb.2017.03.020

Al-Arif, S. M., Gundry, M., Slabaugh, G. G. & Knapp, K. (2017). Global Localization and Orientation of the Cervical Spine in X-ray Imaging. In: Computational Methods and Clinical Applications for Spine Imaging. CSI 2016. Computational Methods and Clinical Applications for Spine Imaging, 17 Oct 2016, Athens, Greece.

Al-Arif, S. M., Gundry, M., Knapp, K. & Slabaugh, G. G. (2017). Improving an Active Shape Model with Random Classification Forest for Segmentation of Cervical Vertebrae. In: Yao, J., Vrtovec, T., Zheng, G. , Frangi, A., Glocker, B. & Li, S. (Eds.), Improving an Active Shape Model with Random Classification Forest for Segmentation of Cervical Vertebrae. Lecture Notes in Computer Science, 10182. (pp. 3-15). Cham: Springer.

Yu, S., Dong, H., Yang, G. , Slabaugh, G. G., Dragotti, P. L., Ye, X., Liu, F., Arridge, S., Keegan, J., Firmin, D. & Guo, Y. (2017). Deep De-Aliasing for Fast Compressive Sensing MRI. IEEE Transactions on Medical Imaging,

Riaz, A., Asad, M., Al-Arid, S. M. M. R. , Alonso, E., Dima, D., Corr, P. J. & Slabaugh, G. G. (2017). FCNet: A Convolutional Neural Network for Calculating Functional Connectivity from functional MRI. Lecture Notes in Computer Science, 10511, pp. 70-78. doi: 10.1007/978-3-319-67159-8_9

Jawaid, M. M., Riaz, A., Rajani, R. , Reyes-Aldasoro, C. C. & Slabaugh, G. G. (2017). Framework for Detection and Localization of Coronary Non-Calcified Plaques in Cardiac CTA using Mean Radial Profiles. Computers in Biology and Medicine, 89, pp. 84-95. doi: 10.1016/j.compbiomed.2017.07.021

Lazareva, A., Asad, M. & Slabaugh, G. G. (2017). Learning to Deblur Adaptive Optics Retinal Images. Paper presented at the 14th International Conference, ICIAR 2017, 5-7 Jul 2017, Montreal, Canada.

Asad, M. & Slabaugh, G. G. (2017). Staged Probabilistic Regression for Hand Orientation Inference. Computer Vision and Image Understanding, 161, pp. 114-129. doi: 10.1016/j.cviu.2017.05.009

Sarkar, S., Weyde, T., Garcez, A. , Slabaugh, G. G., Dragicevic, S. & Percy, C. (2016). Accuracy and interpretability trade-offs in machine learning applied to safer gambling. CEUR Workshop Proceedings, 1773,

Asad, M. & Slabaugh, G. G. (2016). Learning Marginalization through Regression for Hand Orientation Inference. 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 1215-1223. doi: 10.1109/CVPRW.2016.154

Slabaugh, G. G., Child, C. H. T., Alonso, E. & Basaru, R. R. (2016). HandyDepth: Example-based Stereoscopic Hand Depth Estimation using Eigen Leaf Node Features. Paper presented at the International Conference on Systems, Signals and Image Processing, 23-25 May 2016, Bratislava, Slovakia.

Uus, A., Liatsis, P., Slabaugh, G. G. , Anagnostis, A., Roberts, S. & Twist, S. (2016). Trend Deviation Analysis for Automated Detection of Defects in GPR Data for Road Condition Surveys. Proceedings of the 23rd International Conference on Systems, Signals and Image Processing (IWSSIP 2016), doi: 10.1109/IWSSIP.2016.7502765

Riaz, A., Alonso, E. & Slabaugh, G. G. (2016). Phenotypic Integrated Framework for Classification of ADHD using fMRI. In: Image Analysis and Recognition. ICIAR 2016. International Conference on Image Analysis and Recognition (ICIAR 2016), 13-15 Jul 2016, Póvoa de Varzim, Portugal.

Slabaugh, G. G., Asad, M. & Yang, G. (2016). Supervised Partial Volume Effect Unmixing for Brain Tumor Characterization using Multi-voxel MR Spectroscopic Imaging. 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), pp. 436-439. doi: 10.1109/ISBI.2016.7493301

Yang, G., Ye, X., Slabaugh, G. G. , Keegan, J., Mohiaddin, R. & Firman, D. (2016). Super-Resolved Enhancement of a Single Image and Its Application in Cardiac MRI. Paper presented at the 7th International Conference, ICISP 2016, 30 May - 01 Jun 2016, Quebec, Canada.

Percy, C., Garcez, A., Dragicevic, S. , França, M. V. M., Slabaugh, G. G. & Weyde, T. (2016). The Need for Knowledge Extraction: Understanding Harmful Gambling Behavior with Neural Networks. Frontiers in Artificial Intelligence and Applications, 285, pp. 974-981. doi: 10.3233/978-1-61499-672-9-974

Asad, M., Gentet, E., Basaru, R. R. & Slabaugh, G. G. (2015). Generating a 3d hand model from frontal color and range scans. In: 2015 IEEE International Conference on Image Processing (ICIP). International Conference on Image Processing, 27-09-2015 - 30-09-2015, Quebec City, Canada. doi: 10.1109/ICIP.2015.7351676

Yang, G., Nawaz, T., Barrick, T. R. , Howe, F. A. & Slabaugh, G. G. (2015). Discrete Wavelet Transform-Based Whole-Spectral and Subspectral Analysis for Improved Brain Tumor Clustering Using Single Voxel MR Spectroscopy. IEEE Transactions on Biomedical Engineering, 62(12), pp. 2860-2866. doi: 10.1109/tbme.2015.2448232

Slabaugh, G. G., Basaru, R. R., Child, C. H. T. & Alonso, E. (2015). Quantized Census for Stereoscopic Image Matching. Paper presented at the Second International Conference on 3D Vision (3DV 2014), 08-12-2014 - 11-12-2014, Tokyo, Japan.

Jebri, B., Phillips, M. L., Knapp, K. , Appelboam, A., Reuben, A. & Slabaugh, G. G. (2015). Detection of degenerative change in lateral projection cervical spine x-ray images. Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 9414, article number 941404. doi: 10.1117/12.2082515

Narang, B., Phillips, M. L., Knapp, K. , Appelboam, A., Reuben, A. & Slabaugh, G. G. (2015). Semi-automatic delineation of the spino-laminar junction curve on lateral X-ray radiographs of the cervical spine. Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 9413, article number 94132P. doi: 10.1117/12.2082036

Al Arifi, S. M. M. R., Asad, M., Knapp, K. , Gundry, M. & Slabaugh, G. G. (2015). Cervical Vertebral Corner Detection using Haar-like Features and Modified Hough Forest. In: 2015 International Conference on Image Processing Theory, Tools and Applications. (pp. 417-422). IEEE. doi: 10.1109/IPTA.2015.7367179

Slabaugh, G. G. & Reyes-Aldasoro, C. C. (2015). Guest Editorial: Medical Image Understanding and Analysis. Annals of the British Machine Vision Association, 2015(1), pp. 1-2.

Al-Arif, S. M., Asad, M., Knapp, K. , Gundry, M. & Slabaugh, G. G. (2015). Hough Forest-based Corner Detection for Cervical Spine Radiographs. Paper presented at the Medical Image Understanding and Analysis Conference, MIUA 2015, 15-07-2015 - 17-07-2015, University of Lincoln, UK.

Slabaugh, G. G., Ye, X. & Yang, X. (2014). Multilabel region classification and semantic linking for colon segmentation in CT colonography. IEEE Transactions on Biomedical Engineering, 62(3), pp. 948-959. doi: 10.1109/tbme.2014.2374355

Bowyer, S., Kanthou, C. & Reyes-Aldasoro, C. C. (2014). Analysis of capillary-like structures formed by endothelial cells in a novel organotypic assay developed from heart tissue. In: Reyes-Aldasoro, C. C. & Slabaugh, G. G. (Eds.), Medical Image Understanding and Analysis 2014. (pp. 235-240). London: British Machine Vision Association.

Asad, M. & Slabaugh, G. G. (2014). Hand Orientation Regression Using Random Forest for Augmented Reality. In: DePaolis, L.T. & Mongelli, A. (Eds.), Augmented and Virtual Reality. AVR 2014. Lecture Notes in Computer Science, 8853. (pp. 159-174). Berlin, Germany: Springer Verlag. doi: 10.1007/978-3-319-13969-2_13

Boone, D. J., Halligan, S., Roth, H. R. , Hampshire, T. E., Helbren, E., Slabaugh, G. G., McQuillan, J., McClelland, J. R., Hu, M., Punwani, S., Taylor, S. A. & Hawkes, D. J. (2013). CT colonography: external clinical validation of an algorithm for computer-assisted prone and supine registration. Radiology, 268(3), pp. 752-760. doi: 10.1148/radiol.13122083

Hampshire, T. E., Roth, H. R., Helbren, E. , Plumb, A., Boone, D. J., Slabaugh, G. G., Halligan, S. & Hawkes, D. J. (2013). Endoluminal surface registration for CT colonography using haustral fold matching. Medical Image Analysis, 17(8), pp. 946-958. doi: 10.1016/j.media.2013.04.006

Weyde, T., Slabaugh, G. G., Fontaine, G. & Bederna, C. (2013). Predicting aquaplaning performance from tyre profile images with machine learning. Lecture Notes in Computer Science, 7950 L, pp. 133-142. doi: 10.1007/978-3-642-39094-4_16

Ganz, M., Yang, X. & Slabaugh, G. G. (2012). Automatic Segmentation of Polyps in Colonoscopic Narrow-Band Imaging Data. IEEE Transactions on Biomedical Engineering, 59(8), pp. 2144-2151. doi: 10.1109/tbme.2012.2195314

Roth, H. R., Hampshire, T. E., McClelland, J. R. , Hu, M., Boone, D. J., Slabaugh, G. G., Halligan, S. & Hawkes, D. J. (2012). Inverse Consistency Error in the Registration of Prone and Supine Images in CT Colonography. Lecture Notes in Computer Science, 7029, pp. 1-7. doi: 10.1007/978-3-642-28557-8_1

Hampshire, T. E., Roth, H. R., Boone, D. J. , Slabaugh, G. G., Halligan, S. & Hawkes, D. J. (2012). Prone to Supine CT Colonography Registration Using a Landmark and Intensity Composite Method. In: Yoshida, H, Hawkes, DJ & Vannier, MW (Eds.), Abdominal Imaging. Computational and Clinical Applications. (pp. 1-9). Springer. doi: 10.1007/978-3-642-33612-6_1

Yang, X. & Slabaugh, G. G. (2011). A robust and efficient approach to detect 3D rectal tubes from CT colonography. Medical Physics, 38(11), pp. 6238-6247. doi: 10.1118/1.3654842

Roth, H. R., McClelland, J. R., Boone, D. J. , Modat, M., Cardoso, M. J., Hampshire, T. E., Hu, M., Punwani, S., Ourselin, S., Slabaugh, G. G., Halligan, S. & Hawkes, D. J. (2011). Registration of the endoluminal surfaces of the colon derived from prone and supine CT colonography. Medical Physics, 38(6Part1), pp. 3077-3089. doi: 10.1118/1.3577603

Ye, X., Beddoe, G. & Slabaugh, G. G. (2011). A Bayesian Approach for False Positive Reduction in CTC CAD. In: Yoshida, H & Cai, W (Eds.), Virtual Colonoscopy and Abdominal Imaging. Second International Workshop on Computational Challenges and Clinical Opportunities in Virtual Colonoscopy and Abdominal Imaging, 20-09-2010, Beijing, China. doi: 10.1007/978-3-642-25719-3_6

Ye, X., Beddoe, G. & Slabaugh, G. G. (2011). A Bayesian Approach for False Positive Reduction in CTC CAD. Lecture Notes in Computer Science, 6668, pp. 40-46. doi: 10.1007/978-3-642-25719-3_6

Ye, X. & Slabaugh, G. G. (2011). Concavity analysis for reduction of ileocecal valve false positives in CTC. In: ISBI. 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 30-03-2011 - 02-04-2011, Chicago, USA. doi: 10.1109/ISBI.2011.5872381

Slabaugh, G. G. & Ye, X. (2011). Concavity analysis for reduction of ileocecal valve false positives in CTC. In: 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. (pp. 173-176). IEEE. doi: 10.1109/ISBI.2011.5872381

Unal, G. B., Nain, D., Slabaugh, G. G. & Fang, T. (2011). Generating shapes by analogies: An application to hearing aid design. Computer-Aided Design, 43(1), pp. 47-56. doi: 10.1016/j.cad.2010.09.008

Roth, H. R., Hampshire, T. E., McClelland, J. R. , Hu, M., Boone, D. J., Slabaugh, G. G., Halligan, S. & Hawkes, D. J. (2011). Inverse Consistency Error in the Registration of Prone and Supine Images in CT Colonography. In: Yoshida, H, Sakas, G & Linguraru, MG (Eds.), Abdominal Imaging. Third International Workshop on Computational and Clinical Applications in Abdominal Imaging, 18-09-2011, Toronto, Canada. doi: 10.1007/978-3-642-28557-8_1

Yang, X., Beddoe, G. & Slabaugh, G. G. (2011). Learning to Detect 3D Rectal Tubes in CT Colonography Using a Global Shape Model. Lecture Notes in Computer Science, 6668, pp. 53-59. doi: 10.1007/978-3-642-25719-3_8

Yang, X., Tek, B., Beddoe, G. & Slabaugh, G. G. (2010). Feature Selection for Computer-Aided Polyp Detection using MRMR. SPIE Proceedings, 7624, article number 76241B. doi: 10.1117/12.844165

Slabaugh, G. G., Yang, X., Ye, X. , Boyes, R, & Beddoe, G. (2010). A Robust and Fast System for CTC Computer-Aided Detection of Colorectal Lesions. Algorithms, 3(1), pp. 21-43. doi: 10.3390/a3010021

Slabaugh, G. G., Whited, B., Rossignac, J. , Fang, T. & Unal, G. B. (2010). 3D ball skinning using PDEs for generation of smooth tubular surfaces. Computer-Aided Design, 42(1), pp. 18-26. doi: 10.1016/j.cad.2009.03.004

Baloch, S., Melkisetoglu, R., Flöry, S. , Azernikov, S., Slabaugh, G. G., Zouhar, A. & Fang, T. (2010). Automatic Detection of Anatomical Features on 3D Ear Impressions for Canonical Representation.. Lecture Notes in Computer Science, 6363, pp. 555-562. doi: 10.1007/978-3-642-15711-0_69

Ye, X., Beddoe, G. & Slabaugh, G. G. (2010). Automatic Graph Cut Segmentation of Lesions in CT Using Mean Shift Superpixels. International Journal of Biomedical Imaging (IJBI), 2010(1), pp. 1-14. doi: 10.1155/2010/983963

Yang, X., Beddoe, G. & Slabaugh, G. G. (2010). Learning to Detect 3D Rectal Tubes in CT Colonography Using a Global Shape Model. In: Yoshida, H & Cai, W (Eds.), Virtual Colonoscopy and Abdominal Imaging. Second International Workshop on Computational Challenges and Clinical Opportunities in Virtual Colonoscopy and Abdominal Imaging, 20-09-2010, Beijing, China. doi: 10.1007/978-3-642-25719-3_8

Slabaugh, G. G., Unal, G. B., Wels, M. , Fang, T. & Rao, B. (2009). Statistical Region-Based Segmentation of Ultrasound Images. Ultrasound in Medicine and Biology, 35(5), pp. 781-795. doi: 10.1016/j.ultrasmedbio.2008.10.014

Douiri, A., Siddique, M., Ye, X. , Beddoe, G. & Slabaugh, G. G. (2009). Enhanced detection in CT colonography using adaptive diffusion filtering. Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 7259, article number 725923. doi: 10.1117/12.811563

Boyes, R., Slabaugh, G. G. & Beddoe, G. (2009). Fast pseudo-enhancement correction in CT colonography using linear shift-invariant filters. In: ICIP. 16th IEEE International Conference on Image Processing (ICIP), 2009., 07-11-2009 - 10-11-2009, Cairo, Eygpt. doi: 10.1109/ICIP.2009.5414016

Boyes, R., Slabaugh, G. G. & Beddoe, G. (2009). Fast pseudo-enhancement correction in CT colonography using linear shift-invariant filters. In: 16th IEEE International Conference on Image Processing (ICIP), 2009. (pp. 2509-2512). IEEE. doi: 10.1109/ICIP.2009.5414016

Ye, X., Siddique, M., Douiri, A. , Beddoe, G. & Slabaugh, G. G. (2009). Image segmentation using joint spatial-intensity-shape features: Application to CT lung nodule segmentation. Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 7259, article number 72594V. doi: 10.1117/12.811151

Whited, B., Rossignac, J., Slabaugh, G. G. , Fang, T. & Unal, G. B. (2009). Pearling: Stroke segmentation with crusted pearl strings. Pattern Recognition and Image Analysis, 19(2), pp. 277-283. doi: 10.1134/s1054661809020102

Ye, X., Lin, X., Dehmeshki, J. , Slabaugh, G. G. & Beddoe, G. (2009). Shape-Based Computer-Aided Detection of Lung Nodules in Thoracic CT Images. IEEE Transactions on Biomedical Engineering, 56(7), pp. 1810-1820. doi: 10.1109/tbme.2009.2017027

Unal, G. B. & Slabaugh, G. G. (2008). Guidewire tracking in x-ray videos of endovascular interventions. 2008 IEEE 16th Signal Processing, Communication and Applications Conference, 1, pp. 1-4. doi: 10.1109/siu.2008.4632624

Slabaugh, G. G., Fang, T., McBagonluri, F. , Zouhar, A., Melkisetoglu, R., Xie, H. & Unal, G. B. (2008). 3-D shape modeling for hearing aid design. IEEE Signal Processing Magazine, 25(5), pp. 98-102. doi: 10.1109/msp.2008.926653

Odry, B., Kiraly, A. P., Slabaugh, G. G. , Novak, C. L., Naidich, D. L. & Lerallut, J. (2008). Active contour approach for accurate quantitative airway analysis. Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 6916, article number 691613. doi: 10.1117/12.772592

Wang, Z., Slabaugh, G. G., Zhou, M. & Fang, T. (2008). Automatic tracing of blood flow velocity in pulsed Doppler images. In: CASE. IEEE International Conference on Automation Science and Engineering, 2008 (CASE 2008), 23-08-2008 - 26-08-2008, Washington D.C., USA. doi: 10.1109/COASE.2008.4626568

Wang, Z., Slabaugh, G. G., Zhou, M. & Fang, T. (2008). Automatic tracing of blood flow velocity in pulsed Doppler images. In: IEEE International Conference on Automation Science and Engineering, 2008. CASE 2008. (pp. 218-222). IEEE. doi: 10.1109/COASE.2008.4626568

Unal, G. B., Nain, D., Slabaugh, G. G. & Fang, T. (2008). Customized Design of Hearing Aids Using Statistical Shape Learning. In: Metaxas, DN, Axel, L, Fichtinger, G & Székely, G (Eds.), MICCAI (1). 11th International Conference on Medical Imaging and Computer Assisted Intervention (MICCAI 2008), 06-09-2008 - 10-09-2008, New York, USA. doi: 10.1007/978-3-540-85988-8_62

Unal, G. B., Nain, D., Slabaugh, G. G. & Fang, T. (2008). Customized Design of Hearing Aids Using Statistical Shape Learning. Lecture Notes in Computer Science, 5241(2008), pp. 518-526. doi: 10.1007/978-3-540-85988-8_62

Unal, G. B. & Slabaugh, G. G. (2008). Estimation of Vector Fields in Unconstrained and Inequality Constrained Variational Problems for Segmentation and Registration. Journal of Mathematical Imaging and Vision, 31(1), pp. 57-72. doi: 10.1007/s10851-008-0064-7

Gucunski, N., Slabaugh, G. G., Wang, Z. , Fang, T. & Maher, A. (2008). Impact echo data from bridge deck testing: Visualization and interpretation. Transportation Research Record, 2050(1), pp. 111-121. doi: 10.3141/2050-11

Abufadel, A., Slabaugh, G. G., Unal, G. B. , Zhang, L. & Odry, B. (2008). Interacting Active Rectangles for Estimation of Intervertebral Disk Orientation. Paper presented at the 8th International Conference on Pattern Recognition (ICPR), 2006., 20-08-2006 - 24-08-2008, Hong Kong.

Unal, G. B., Bucher, S., Carlier, S. G. , Slabaugh, G. G., Fang, T. & Tanaka, K. (2008). Shape-Driven Segmentation of the Arterial Wall in Intravascular Ultrasound Images. IEEE Transactions on Information Technology in Biomedicine, 12(3), pp. 335-347. doi: 10.1109/titb.2008.920620

Slabaugh, G. G., Unal, G. B., Fang, T. , Rossignac, J. & Whited, B. (2008). Variational Skinning of an Ordered Set of Discrete 2D Balls. In: Chen, F & Jüttler, B (Eds.), GMP. 5th International Conference, GMP 2008., 23-04-2008 - 25-04-2008, Hangzhou, China. doi: 10.1007/978-3-540-79246-8_34

Unal, G. B., Yezzi, A. J., Soatto, S. & Slabaugh, G. G. (2007). A Variational Approach to Problems in Calibration of Multiple Cameras.. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(8), pp. 1322-1338. doi: 10.1109/tpami.2007.1035

Alvino, C. V., Unal, G. B., Slabaugh, G. G. , Peny, B. & Fang, T. (2007). Efficient segmentation based on Eikonal and diffusion equations. International Journal of Computer Mathematics, 84(9), pp. 1309-1324. doi: 10.1080/00207160701324249

Wang, Z., Slabaugh, G. G., Unal, G. B. & Fang, T. (2007). Registration of Ultrasound Images Using an Information-Theoretic Feature Detector. In: ISBI. The Fourth IEEE International Symposium on Biomedical Imaging (ISBI ’07), 12-04-2007 - 15-04-2007, Washingon D.C., USA. doi: 10.1109/ISBI.2007.356957

Wang, Z., Slabaugh, G. G., Unal, G. B. & Fang, T. (2007). Registration of Ultrasound Images Using an Information-Theoretic Feature Detector. In: 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. (pp. 736-739). IEEE. doi: 10.1109/ISBI.2007.356957

Slabaugh, G. G., Dinh, H. Q. & Unal, G. B. (2007). A Variational Approach to the Evolution of Radial Basis Functions for Image Segmentation. In: CVPR. IEEE Conference on Computer Vision and Pattern Recognition, 2007, 17-06-2007 - 22-07-2007, Minneapolis, USA. doi: 10.1109/CVPR.2007.383013

Slabaugh, G. G., Dinh, Q. & Unal, G. B. (2007). A Variational Approach to the Evolution of Radial Basis Functions for Image Segmentation. In: IEEE Conference on Computer Vision and Pattern Recognition, 2007 (CVPR '07). (pp. 1-8). IEEE. doi: 10.1109/CVPR.2007.383013

Slabaugh, G. G., Kong, K., Unal, G. B. & Fang, T. (2007). Variational Guidewire Tracking Using Phase Congruency. In: Ayache, N, Ourselin, S & Maeder, AJ (Eds.), MICCAI (2). 10th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 29-10-2007 - 02-11-2007, Brisbane, Australia. doi: 10.1007/978-3-540-75759-7_74

Slabaugh, G. G., Kong, K., Unal, G. B. & Fang, T. (2007). Variational guidewire tracking using phase congruency. Lecture Notes in Computer Science, 4792 L(PART 2), pp. 612-619. doi: 10.1007/978-3-540-75759-7_74

Wang, Z., Slabaugh, G. G., Unal, G. B. , Zhou, M. & Fang, T. (2007). An information-theoretic detector based scheme for registration of speckled medical images. In: SMC. IEEE International Conference on Systems, Man and Cybernetics, 2007, 07-10-2007 - 10-10-2007, Montreal, Canada. doi: 10.1109/ICSMC.2007.4413864

Wang, Z., Slabaugh, G. G., Unal, G. B. & Zhou, M. (2007). An information-theoretic detector based scheme for registration of speckled medical images. In: IEEE International Conference on Systems, Man and Cybernetics, 2007. ISIC. (pp. 1026-1030). IEEE. doi: 10.1109/ICSMC.2007.4413864

Peny, B., Unal, G. B., Slabaugh, G. G. , Fang, T. & Alvino, C. V. (2006). Efficient and Robust Segmentations Based on Eikonal and Diffusion PDEs. In: Zheng, N, Jiang, X & Lan, X (Eds.), Advances in Machine Vision, Image Processing, and Pattern Analysis. Lecture Notes in Computer Science, 4153. (pp. 339-348). Springer. doi: 10.1007/11821045_36

Slabaugh, G. G., Unal, G. B. & Chang, T. C. (2006). Information-theoretic feature detection in ultrasound images. In: 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2006 (EMBS '06). (pp. 2638-2642). IEEE. doi: 10.1109/IEMBS.2006.260254

Slabaugh, G. G., Unal, G. B. & Chang, T. C. (2006). Information-theoretic feature detection in ultrasound images. Paper presented at the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2006 (EMBS '06), 30-08-2006 - 03-09-2006, New York, USA.

Abufadel, A., Slabaugh, G. G., Unal, G. B. , Zhang, L. & Odry, B. (2006). Interacting Active Rectangles for Estimation of Intervertebral Disk Orientation. In: 18th International Conference on Pattern Recognition, 2006. ICPR 2006. (pp. 1013-1016). IEEE Computer Society. doi: 10.1109/ICPR.2006.719

Doan, H., Slabaugh, G. G., Unal, G. B. & Fang, T. (2006). Semi-Automatic 3-D Segmentation of Anatomical Structures of Brain MRI Volumes using Graph Cuts. In: ICIP. 2006 IEEE International Conference on Image Processing,, 08-10-2006 - 11-10-2006, Atlanta, USA. doi: 10.1109/ICIP.2006.313142

Doan, H., Slabaugh, G. G., Unal, G. B. & Fang, T. (2006). Semi-Automatic 3-D Segmentation of Anatomical Structures of Brain MRI Volumes using Graph Cuts. In: 2006 IEEE International Conference on Image Processing. (pp. 1913-1916). IEEE. doi: 10.1109/ICIP.2006.313142

Unal, G. B., Slabaugh, G. G., Ess, A. , Yezzi, A. J., Fang, T., Tyan, J., Requardt, M., Krieg, R., Seethamraju, R., Harisinghani, M. & Weissleder, R. (2006). Semi-Automatic Lymph Node Segmentation in LN-MRI. In: ICIP. 2006 IEEE International Conference on Image Processing,, 08-10-2006 - 11-10-2006, Atlanta, USA. doi: 10.1109/ICIP.2006.312366

Slabaugh, G. G., Unal, G. B., Fang, T. & Wels, M. (2006). Ultrasound-Specific Segmentation via Decorrelation and Statistical Region-Based Active Contours. In: 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. (pp. 45-53). IEEE Computer Society. doi: 10.1109/CVPR.2006.318

Slabaugh, G. G., Unal, G. B., Tong Fang, . & Wels, M. (2006). Ultrasound-Specific Segmentation via Decorrelation and Statistical Region-Based Active Contours. Paper presented at the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 17-06-2006 - 22-06-2006, New York, USA.

Slabaugh, G. G. & Unal, G. B. (2005). Graph cuts segmentation using an elliptical shape prior. Image Processing, 2005. ICIP 2005. IEEE International Conference on, 2, pp. 1222-1225. doi: 10.1109/ICIP.2005.1530282

Slabaugh, G. G. & Unal, G. B. (2005). Active Polyhedron: Surface Evolution Theory Applied to Deformable Meshes. Computer Vision and Pattern Recognition, 2, pp. 84-91. doi: 10.1109/CVPR.2005.60

Slabaugh, G. G., Mihalef, V. & Unal, G. B. (2005). A Contour-Based Approach to 3D Text Labeling on Triangulated Surfaces. In: Fifth International Conference on 3-D Digital Imaging and Modeling, 2005 (3DIM 2005). (pp. 416-423). IEEE Computer Society. doi: 10.1109/3DIM.2005.7

Slabaugh, G. G., Mihalef, V. & Unal, G. B. (2005). A Contour-Based Approach to 3D Text Labeling on Triangulated Surfaces. Paper presented at the Fifth International Conference on 3-D Digital Imaging and Modeling, 2005 (3DIM 2005), 13-06-2005 - 16-06-2005, Ottowa, Canada. doi: 10.1109/3DIM.2005.7

Unal, G. B. & Slabaugh, G. G. (2005). Coupled PDEs for Non-Rigid Registration and Segmentation. In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. (pp. 168-175). IEEE Computer Society. doi: 10.1109/CVPR.2005.115

Unal, G. B. & Slabaugh, G. G. (2005). Coupled PDEs for Non-Rigid Registration and Segmentation. Paper presented at the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 21-09-2005 - 23-09-2005, San Diego, USA. doi: 10.1109/CVPR.2005.115

Slabaugh, G. G., Culbertson, W. B., Malzbender, T. , Stevens, M. R. & Schafer, R. W. (2004). Methods for Volumetric Reconstruction of Visual Scenes. International Journal of Computer Vision, 57(3), pp. 179-199. doi: 10.1023/b:visi.0000013093.45070.3b

Slabaugh, G. G., Schafer, R. W. & Hans, M. C. (2003). Image-based photo hulls for fast and photo-realistic new view synthesis. Real-Time Imaging, 9(5), pp. 347-360. doi: 10.1016/j.rti.2003.08.004

Slabaugh, G. G., Schafer, R. W. & Hans, M. C. (2002). Image-Based Photo Hulls. In: First International Symposium on 3D Data Processing Visualization and Transmission, 2002. Proceedings. (pp. 704-708). IEEE Computer Society. doi: 10.1109/TDPVT.2002.1024145

Slabaugh, G. G., Schafer, R. W. & Hans, M. C. (2002). Image-Based Photo Hulls. Paper presented at the First International Symposium on 3D Data Processing Visualization and Transmission, 19-06-2002 - 21-06-2002, Padova, Italy.

Slabaugh, G. G., Schafer, R. W. & Hans, M. C. (2002). Multi-resolution space carving using level set methods. In: ICIP (2). 2002 International Conference on Image Processing., 22-09-2002 - 25-09-2002, New York, USA.

Slabaugh, G. G., Schafer, R. W. & Hans, M. C. (2002). Multi-resolution space carving using level set methods. In: 2002 International Conference on Image Processing. (2002, Proceedings). (pp. 545-548). IEEE. doi: 10.1109/ICIP.2002.1040008

Dinh, H. Q., Turk, G. & Slabaugh, G. G. (2002). Reconstructing Surfaces by Volumetric Regularization Using Radial Basis Functions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(10), pp. 1358-1371. doi: 10.1109/tpami.2002.1039207

Yezzi, A. J., Slabaugh, G. G., Broadhurst, A. , Cipolla, R. & Schafer, R. W. (2002). A Surface Evolution Approach to Probabilistic Space Carving. In: First International Symposium on 3D Data Processing Visualization and Transmission, 2002. Proceedings. (pp. 618-621). IEEE Computer Society. doi: 10.1109/TDPVT.2002.1024126

Yezzi, A. J., Slabaugh, G. G., Broadhurst, A. , Cipolla, R. & Schafer, R. W. (2002). A Surface Evolution Approach to Probabilistic Space Carving. Paper presented at the First International Symposium on 3D Data Processing Visualization and Transmission, 19-06-2002 - 21-06-2002, Padova, Italy.

Dinh, H. Q., Turk, G. & Slabaugh, G. G. (2001). Reconstructing Surfaces Using Anisotropic Basis Functions. In: ICCV. Eighth IEEE International Conference on Computer Vision, 2001. (ICCV 2001), 07-07-2001 - 14-07-2001, Vancouver, Canada.

Dinh, H. Q., Turk, G. & Slabaugh, G. G. (2001). Reconstructing Surfaces Using Anisotropic Basis Functions. In: Eighth IEEE International Conference on Computer Vision, 2001. ICCV 2001. Proceedings. (pp. 606-613). IEEE. doi: 10.1109/ICCV.2001.937682

Slabaugh, G. G., Culbertson, W. B., Malzbender, T. & Schafer, R. W. (2001). A Survey of Methods for Volumetric Scene Reconstruction from Photographs. In: Mueller, K. & Kaufman, A. E. (Eds.), Proceedings of the 2001 Eurographics conference on Volume Graphics. . Eurographics Association. doi: 10.2312/VG/VG01/081-101

Slabaugh, G. G., Culbertson, B., Malzbender, T. & Schafer, R. W. (2001). A survey of methods for volumetric scene reconstruction from photographs. Paper presented at the 2001 Eurographics conference on Volume Graphics, 21-06-2001 - 22-06-2001, New York, USA. doi: 10.2312/VG/VG01/081-101

Culbertson, W. B., Malzbender, T. & Slabaugh, G. G. (2000). Generalized Voxel Coloring. In: Triggs, B., Zisserman, A. & Szeliski, R. (Eds.), Vision Algorithms: Theory and Practice. (pp. 100-115). Springer. doi: 10.1007/3-540-44480-7_7

Slabaugh, G. G., Malzbender, T. & Culbertson, W. B. (2000). Volumetric Warping for Voxel Coloring on an Infinite Domain. In: Pollefeys, M., Gool, L. J. V., Zisserman, A. & Fitzgibbon, A. W. (Eds.), 3D Structure from Images — SMILE 2000. Lecture Notes in Computer Science, 2018. (pp. 109-123). Springer. doi: 10.1007/3-540-45296-6_8

Slabaugh, G. G., Unal, G. B., Fang, T. , Rossignac, J. & Whited, B. Variational Skinning of an Ordered Set of Discrete 2D Balls. Lecture Notes in Computer Science, 4975(2008), pp. 450-461. doi: 10.1007/978-3-540-79246-8_34

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