Publication List

Journal Articles

• F. Khalvati, J. Zhang, A. G. Chung, M. J. Shafiee, A. Wong, M. A. Haider. MPCaD: A Multi-Scale Radiomics-Driven Framework for Automated Prostate Cancer Localization and Detection. BMC Medical Imaging, Accepted, 2018. [PDF]

• T. Clark, J. Zhang, S. Baig, A. Wong, M.A. Haider, F. Khalvati. Fully Automated Segmentation of Prostate and Transition Zone in Diffusion MRI using Convolutional Neural Networks. SPIE Journal of Medical Imaging, 4(4):041307. DOI: 10.1117/1.JMI.4.4.041307, 2017. [PDF]

• J. Zhang, S. Baig, A. Wong, M.A. Haider, F. Khalvati. A Local ROI-specific Atlas-based Segmentation of Prostate Gland and Transitional Zone in Diffusion MRI. Journal of Computational Vision and Imaging Systems, 2:1, 2016. [PDF]

• F. Khalvati, J. Zhang, S. Baig, M.A. Haider, A. Wong. Sparse Correlated Diffusion Imaging: A New Computational Diffusion MRI Modality for Prostate Cancer Detection. Journal of Computational Vision and Imaging Systems, 2:1, 2016. [PDF]

• J. Zhang, F. Khalvati, A. Wong, M.A. Haider. Superpixel-based Prostate Cancer Detection from Diffusion Magnetic Resonance Imaging. Vision Letters, 1:1, 2015. [PDF]

• J. Zhang, G. Sohn, M. Brédif. A hybrid framework for single tree detection from airborne laser scanning data: A case study in temperate mature coniferous forests in Ontario, Canada. ISPRS Journal of Photogrammetry and Remote Sensing, 98, 44-57, 2014. [PDF]

• J. Zhang, A. de Gier, G. Sohn, Y. Xing. Full waveform-based analysis for forest type information derivation from large footprint spaceborne lidar data. Photogrammetric Engineering & Remote Sensing, 77:3, 281-290, 2011. [PDF]

• J. Zhang, A. de Gier, G. Sohn, Y. Xing. An improved method for estimating forest canopy height using ICESat-GLAS full waveform data over sloping terrain: A case study in Changbai mountains, China. International Journal of Applied Earth Observation and Geoinformation, 12:5, 385-392, 2010. [PDF]

Conference Papers

• J. Zhang, S. Baig, A. Wong, M.A. Haider, F. Khalvati. Segmentation of Prostate in Diffusion MR Images via Clustering. Machine Learning for Medical Image Computing, 14th International Conference on Image Analysis and Recognition (ICIAR), 2017. [PDF]

• F. Khalvati, J. Zhang, A. Wong, M.A. Haider. Bag of Bags: Nested Multi-Instance Classification for Prostate Cancer Detection. IEEE ICMLA, 2016. [PDF]

• F. Khalvati, J. Zhang, S. Baig, M.A. Haider, A. Wong. Sparse Correlated Diffusion Imaging: A New Computational Diffusion MRI Modality for Prostate Cancer Detection. CVIS 2016. [PDF]

• J. Zhang, S. Baig, A. Wong, M.A. Haider, F. Khalvati. A Local ROI-specific Atlas-based Segmentation of Prostate Gland and Transitional Zone in Diffusion MRI. CVIS 2016. [PDF]

• J. Zhang, F. Khalvati, M.A. Haider, A. Wong. Enhanced Dual-Stage Correlated Diffusion Imaging. EMBC 2016. [PDF]

• J. Zhang, A. Eilaghi, M.A. Haider, A. Wong, F. Khalvati. Optimized Correlated Diffusion Imaging for Prostate Cancer Detection. ImNO 2016 (short paper). [PDF coming soon]

• A. Eilaghi, S. Baig, J. Zhang, Alexander Wong, P. Karanicolas, S. Gallinger, Farzad Khalvati, M. A. Haider. Radiomics Features Analysis for Tumor Characterization in Pancreatic Ductal Adenocarcinoma. ImNO 2016 (short paper). [PDF coming soon]

• J. Zhang, F. Khalvati, A. Wong, M.A. Haider. Superpixel-based Prostate Cancer Detection from Diffusion Magnetic Resonance Imaging. CVIS 2015. [PDF]

• J. Zhang, J. Jung, G. Sohn, M. Cohen. Thermal Infrared Inspection of Roof Insulation Using Unmanned Aerial Vehicles. UAV-g 2015. [PDF]

• Y. Jwa, G. Sohn, T.S. Pierre, C. Sarthou, J. Zhang. 3D Reconstruction of Power Line Models from Airborne Image-based Point Cloud Data. IGARSS 2014. [PDF coming soon]

• J. Zhang, G. Sohn, M. Brédif. A Hybrid Framework for Single Tree Detection from Airborne Laser Scanning Data with Application in Boreal Forests, Ontario, Canada. Silvilaser 2013. [PDF]

• J. Zhang, G. Sohn, M. Brédif. Single Tree Detection from Airborne Laser Scanning Data Using a Marked Point Process Based Method. VCM 2013. [PDF]

• J. Zhang, G. Sohn. Single Tree Detection from Airborne Laser Scanning Data Using a Marked Point Process. Silvilaser 2012. [PDF coming soon]

• J. Zhang, G. Sohn. A Comparative Study of Single Tree Detection Algorithms Using Simulated Forest Plots. Silvilaser 2010. [PDF coming soon]

• J. Zhang, G. Sohn. A Markov Random Field Model for individual tree detection from airborne laser scanning data. PCV 2010. [PDF]

• J. Zhang, A. de Gier, G. Sohn, Y. Xing. Derivation of forest type information from large-footprint spaceborne LiDAR waveforms. Silvilaser 2009. [PDF]

• Y. Xing, J. Zhang. Estimating canopy height of montane cool temperate forest using large-footprint spaceborne lidar. ISPRS Congress 2008. [PDF]

Theses

• J. Zhang. Single Tree Detection from Airborne Laser Scanning Data: A Stochastic Approach. Doctor of Philosophy Dissertation, York University, 2015. [Library Link] [PDF]

• J. Zhang. Derivation of forest type information from large footprint spaceborne LIDAR waveforms: a case study in cool temperate forests of Northeastern China. Master Thesis, ITC, University of Twente, 2009. [Library Link] [PDF]