Ni X., Fieguth P.W., Ma Z., Shi B., Qiu Y., Chen Y., and Liu H, "Superpixel-Guided Multi-Type Rail Segmentation via Contextual Information Aggregation", IEEE Transactions on Intelligent Transportation Systems, vol. 25, pp. 14004-14018, 2024. Get it here. Nazemi A., Javad Shafiee M., Gharaee Z., and Fieguth P, "Memory-Efficient Continual Learning Object Segmentation for Long Videos", IEEE Access, vol. 12, pp. 97067-97084, 2024. Get it here. Du J., Ma L., Li J., Qin N., Zelek J., Guan H., and Li J, "RdmkNet & Toronto-RDMK: Large-Scale Datasets for Road Marking Classification and Segmentation", IEEE Transactions on Intelligent Transportation Systems, vol. 25, pp. 13467-13482, 2024. Get it here. Torenvliet N., and Zelek J.S, "Diffusion Partition Consensus: Diffusion-Aided Time-of-Flight Estimates, Anomaly Detection, and Localization for Ultrasonic Nond", IEEE Open Journal of Instrumentation and Measurement, vol. 5, 2024. Get it here. Raisi Z., and Zelek J, "Visual place recognition from end-to-end semantic scene text features", Frontiers in Robotics and AI, vol. 11, 2024. Get it here. Chen X., Scott K.A., Xu L., Jiang M., Fang Y., and Clausi D.A, "Uncertainty-Incorporated Ice and Open Water Detection on Dual-Polarized SAR Sea Ice Imagery", IEEE Transactions on Geoscience and Remote Sensing, vol. 61, 2023. Get it here. Wu Y., Xu L., Wang L., Chen Q., Chen Y., and Clausi D.A, "Multi-Task Edge Detection for Building Vectorization From Aerial Images", IEEE Geoscience and Remote Sensing Letters, vol. 20, 2023. Get it here. Ghanbari M., Xu L., and Clausi D.A, "Local and Global Spatial Information for Land Cover Semisupervised Classification of Complex Polarimetric SAR Data", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 3892-3904, 2023. Get it here. Taleghanidoozdoozan S., Xu L., and Clausi D.A, "Region-Based Sea Ice Mapping Using Compact Polarimetric Synthetic Aperture Radar Imagery with Learned Features and Contextual In", Remote Sensing, vol. 15, 2023. Get it here. Fang Y., Wang Y., Xu L., Chen Y., Wong A., and Clausi D.A, "Unsupervised Bayesian Subpixel Mapping Autoencoder Network for Hyperspectral Images", IEEE Transactions on Geoscience and Remote Sensing, vol. 61, 2023. Get it here. Shaabana A., Gharaee Z., and Fieguth P, "Video Relationship Detection Using Mixture of Experts", IEEE Access, vol. 11, pp. 26048-26058, 2023. Get it here. Pellegrino N., Fieguth P.W., and Haji Reza P, "K-Means for noise-insensitive multi-dimensional feature learning", Pattern Recognition Letters, vol. 127, pp. 113-120, 2023. Get it here. Gharaee Z., Gong Z., Pellegrino N., Zarubiieva I., Haurum J.B., Lowe S.C., McKeown J.T.A., Ho C.C.Y., McLeod J., Wei Y.-Y.C., Agda J., Ratnasingham S., Steinke D., Chang A.X., Taylor G.W., and Fieguth P, "A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset", Advances in Neural Information Processing Systems, vol. 36, pp. 43593-43619, 2023. Get it here. Carrington A.M., Manuel D.G., Fieguth P.W., Ramsay T., Osmani V., Wernly B., Bennett C., Hawken S., Magwood O., Sheikh Y., Mcinnes M., and Holzinger A, "Deep ROC Analysis and AUC as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, pp. 329-341, 2023. Get it here. Chen W., Liu Y., Wang W., Bakker E.M., Georgiou T., Fieguth P., Liu L., and Lew M.S, "Deep Learning for Instance Retrieval: A Survey", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, pp. 7270-7292, 2023. Get it here. Teller N., Chad J.A., Wong A., Gunraj H., Ji X., Goubran M., Gilboa A., Roudaia E., Sekuler A., Churchill N., Schweizer T., Gao F., Masellis M., Lam B., Heyn C., Cheng I., Fowler R., Black S.E., MacIntosh B.J., Graham S.J., and Chen J.J, "Feasibility of diffusion-tensor and correlated diffusion imaging for studying white-matter microstructural abnormalities: Applic", Human Brain Mapping, vol. 44, pp. 3998-4010, 2023. Get it here. Aghamohammadi H., Thomas K.E., Srikant S., Deglint J., Wong A., and Poudineh M, "A competitive, bead-based assay combined with microfluidics for multiplexed toxin detection", Lab on a Chip, vol. 23, pp. 3245-3257, 2023. Get it here. Zhu Z., Parker W., and Wong A, "Leveraging deep learning for automatic recognition of microplastics (MPs) via focal plane array (FPA) micro-FT-IR imaging", Environmental Pollution, vol. 127, 2023. Get it here. Ma K., He S., Sinha G., Ebadi A., Florea A., Tremblay S., Wong A., and Xi P, "Towards Building a Trustworthy Deep Learning Framework for Medical Image Analysis", Sensors, vol. 23, 2023. Get it here. Taleghanidoozdoozan S., Xu L., and Clausi D.A, "Oil Spill Candidate Detection Using a Conditional Random Field Model on Simulated Compact Polarimetric Imagery", Canadian Journal of Remote Sensing, vol. 48, pp. 425-440, 2022. Get it here. Fang Y., Xu L., Wong A., and Clausi D.A, "Multi-Temporal Landsat-8 Images for Retrieval and Broad Scale Mapping of Soil Copper Concentration Using Empirical Models", Remote Sensing, vol. 14, 2022. Get it here. Fang Y., Xu L., Chen Y., Zhou W., Wong A., and Clausi D.A, "A Bayesian Deep Image Prior Downscaling Approach for High-Resolution Soil Moisture Estimation", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 4571-4582, 2022. Get it here. Jiang M., Xu L., and Clausi D.A, "Sea Ice–Water Classification of RADARSAT-2 Imagery Based on Residual Neural Networks (ResNet) with Regional Pooling", Remote Sensing, vol. 14, 2022. Get it here. Lee P.Q., Xu L., and Clausi D.A, "Estimating Noise Floor in Sentinel-1 Images With Linear Programming and Least Squares", IEEE Transactions on Geoscience and Remote Sensing, vol. 60, 2022. Get it here. Jiang M., Clausi D.A., and Xu L, "Sea-Ice Mapping of RADARSAT-2 Imagery by Integrating Spatial Contexture With Textural Features", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 7964-7977, 2022. Get it here. Hosseinaee Z., Pellegrino N., Abbasi N., Amiri T., Simmons J.A.T., Fieguth P., and Haji Reza P, "Author Correction: In-vivo functional and structural retinal imaging using multiwavelength photoacoustic remote sensing microsco", Scientific Reports, vol. 12, 2022. Get it here. Hosseinaee Z., Pellegrino N., Abbasi N., Amiri T., Simmons J.A.T., Fieguth P., and Haji Reza P, "In-vivo functional and structural retinal imaging using multiwavelength photoacoustic remote sensing microscopy", Scientific Reports, vol. 12, 2022. Get it here. Aboutalebi H., Pavlova M., Shafiee M.J., Sabri A., Alaref A., and Wong A, "COVID-net CXR-S: Deep convolutional neural network for severity assessment of COVID-19 cases from chest X-ray images", Diagnostics, vol. 12, 2022. Get it here. Laschowski B., McNally W., Wong A., and McPhee J, "Environment Classification for Robotic Leg Prostheses and Exoskeletons Using Deep Convolutional Neural Networks", Frontiers in Neurorobotics, vol. 15, 2022. Get it here. Wong A., Gunraj H., Sivan V., and Haider M.A, "Synthetic correlated diffusion imaging hyperintensity delineates clinically significant prostate cancer", Scientific Reports, vol. 12, 2022. Get it here. Aboutalebi H., Pavlova M., Gunraj H., Shafiee M.J., Sabri A., Alaref A., and Wong A, "MEDUSA: Multi-Scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis", Frontiers in Medicine, vol. 8, 2022. Get it here. Pfisterer K.J., Amelard R., Chung A.G., Syrnyk B., MacLean A., Keller H.H., and Wong A, "Automated food intake tracking requires depth-refined semantic segmentation to rectify visual-volume discordance in long-term ca", Scientific Reports, vol. 12, 2022. Get it here. Pavlova M., Terhljan N., Chung A.G., Zhao A., Surana S., Aboutalebi H., Gunraj H., Sabri A., Alaref A., and Wong A, "COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest X-ray Images", Frontiers in Medicine, vol. 9, 2022. Get it here. Lee J.R.H., Pavlova M., Famouri M., and Wong A, "Cancer-Net SCa: tailored deep neural network designs for detection of skin cancer from dermoscopy images", BMC Medical Imaging, vol. 22, 2022. Get it here. Pfisterer K., Amelard R., Boger J., Keller H., Chung A., and Wong A, "Enhancing Food Intake Tracking in Long-term Care With Automated Food Imaging and Nutrient Intake Tracking (AFINI-T) Technology: ", JMIR Aging, vol. 5, 2022. Get it here. Ebadi A., Xi P., MacLean A., Florea A., Tremblay S., Kohli S., and Wong A, "COVIDx-US: An Open-Access Benchmark Dataset of Ultrasound Imaging Data for AI-Driven COVID-19 Analytics", Frontiers in Bioscience - Landmark, vol. 27, 2022. Get it here. Yang Y., Butt Z.A., Leatherdale S.T., Morita P.P., Wong A., Rosella L., and Chen H.H, "Exploring the dynamic transitions of polysubstance use patterns among Canadian youth using Latent Markov Models on COMPASS data", The Lancet Regional Health - Americas, vol. 16, 2022. Get it here. Wong A., Lee J.R.H., Rahmat-Khah H., Sabri A., Alaref A., and Liu H, "TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases From Chest X-Ray", Frontiers in Artificial Intelligence, vol. 5, 2022. Get it here. Gunraj H., Sabri A., Koff D., and Wong A, "COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 From Chest CT Images Through Bigger, More Diverse Learni", Frontiers in Medicine, vol. 8, 2022. Get it here. Lee P.Q., Radhakrishnan K., Clausi D.A., Scott K.A., Xu L., and Marcoux M, "Beluga whale detection in the Cumberland Sound Bay using convolutional neural networks", Canadian Journal of Remote Sensing, vol. 47, pp. 276-294, 2021. Get it here. Asadi N., Scott K.A., Komarov A.S., Buehner M., and Clausi D.A, "Evaluation of a Neural Network with Uncertainty for Detection of Ice and Water in SAR Imagery", IEEE Transactions on Geoscience and Remote Sensing, vol. 59, pp. 247-259, 2021. Get it here. Chen Y., Xu L., Fang Y., Peng J., Yang W., Wong A., and Clausi D.A, "Unsupervised Bayesian Subpixel Mapping of Hyperspectral Imagery Based on Band-Weighted Discrete Spectral Mixture Model and Marko", IEEE Geoscience and Remote Sensing Letters, vol. 18, pp. 162-166, 2021. Get it here. Ghanbari M., Clausi D.A., and Xu L, "CP-IRGS: A Region-Based Segmentation of Multilook Complex Compact Polarimetric SAR Data", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 6559-6571, 2021. Get it here. Hu X., Naiel M.A., Azimifar Z., Ben Daya I., Lamm M., and Fieguth P, "Non-stationary content-adaptive projector resolution enhancement", Signal Processing: Image Communication, vol. 97, 2021. Get it here. Shafiee M.J., Jeddi A., Nazemi A., Fieguth P., and Wong A, "Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement", IEEE Signal Processing Magazine, vol. 38, pp. 22-30, 2021. Get it here. Ertay D.S., Naiel M.A., Vlasea M., and Fieguth P, "Process performance evaluation and classification via in-situ melt pool monitoring in directed energy deposition", CIRP Journal of Manufacturing Science and Technology, vol. 35, pp. 298-314, 2021. Get it here. Liu X., Yang X., Wang D., and Wong A, "Detecting Pulse Rates from Facial Videos Recorded in Unstable Lighting Conditions: An Adaptive Spatiotemporal Homomorphic Filter", IEEE Transactions on Instrumentation and Measurement, vol. 70, 2021. Get it here. Abbasi S., Famouri M., Shafiee M.J., and Wong A, "Outliernets: Highly compact deep autoencoder network architectures for on-device acoustic anomaly detection", Sensors, vol. 21, 2021. Get it here. Lee P.Q., Xu L., and Clausi D.A, "Sentinel-1 additive noise removal from cross-polarization extra-wide TOPSAR with dynamic least-squares", Remote Sensing of Environment, vol. 127, 2020. Get it here. Yang L., Xu L., Peng J., Song Y., Wong A., and Clausi D.A, "Nonlocal Band-Weighted Iterative Spectral Mixture Model for Hyperspectral Imagery Denoising", IEEE Transactions on Geoscience and Remote Sensing, vol. 58, pp. 5588-5601, 2020. Get it here. Zhong Z., Li J., Clausi D.A., and Wong A, "Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification", IEEE Transactions on Cybernetics, vol. 50, pp. 3318-3329, 2020. Get it here. Hoekstra M., Jiang M., Clausi D.A., and Duguay C, "Lake ice-water classification of RADARSAT-2 images by integrating IRGS Segmentation with pixel-based random forest labeling", Remote Sensing, vol. 12, 2020. Get it here. Naiel M.A., Ertay D.S., Vlasea M., and Fieguth P, "Adaptive vision-based detection of laser-material interaction for directed energy deposition", Additive Manufacturing, vol. 36, 2020. Get it here. Liu L., Ouyang W., Wang X., Fieguth P., Chen J., Liu X., and Pietikainen M, "Deep Learning for Generic Object Detection: A Survey", International Journal of Computer Vision, vol. 127, pp. 261-318, 2020. Get it here. Gong Z., Lin H., Zhang D., Luo Z., Zelek J., Chen Y., Nurunnabi A., Wang C., and Li J, "A Frustum-based probabilistic framework for 3D object detection by fusion of LiDAR and camera data", ISPRS Journal of Photogrammetry and Remote Sensing, vol. 127, pp. 90-100, 2020. Get it here. Laschowski B., McNally W., Wong A., and McPhee J, "ExoNet Database: Wearable Camera Images of Human Locomotion Environments", Frontiers in Robotics and AI, vol. 7, 2020. Get it here. Gunraj H., Wang L., and Wong A, "COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest CT Images", Frontiers in Medicine, vol. 7, 2020. Get it here. Wang L., Lin Z.Q., and Wong A, "COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images", Scientific Reports, vol. 10, 2020. Get it here. Liu X., Yang X., Jin J., and Wong A, "Detecting Pulse Wave from Unstable Facial Videos Recorded from Consumer-Level Cameras: A Disturbance-Adaptive Orthogonal Matchin", IEEE Transactions on Biomedical Engineering, vol. 67, pp. 3352-3362, 2020. Get it here. Yu B., Xu L., Peng J., Hu Z., and Wong A, "Global chlorophyll- a concentration estimation from moderate resolution imaging spectroradiometer using convolutional neural net", Journal of Applied Remote Sensing, vol. 14, 2020. Get it here. Fewster K.M., Haider S., Gooyers C.E., Callaghan J., and Wong A, "A computerised system for measurement of the radial displacement of the intervertebral disc using a laser scanning device", Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, vol. 8, pp. 287-293, 2020. Get it here. Al-Jebrni A.H., Chwyl B., Wang X.Y., Wong A., and Saab B.J, "AI-enabled remote and objective quantification of stress at scale", Biomedical Signal Processing and Control, vol. 59, 2020. Get it here. Dulhanty C., Wang L., Cheng M., Gunraj H., Khalvati F., Haider M.A., and Wong A, "Radiomics driven diffusion weighted imaging sensing strategies for zone-level prostate cancer sensing", Sensors (Switzerland), vol. 20, 2020. Get it here. Ghanbari M., Clausi D.A., Xu L., and Jiang M, "Contextual Classification of Sea-Ice Types Using Compact Polarimetric SAR Data", IEEE Transactions on Geoscience and Remote Sensing, vol. 57, pp. 7476-7491, 2019. Get it here. Fang Y., Hu Z., Xu L., Wong A., and Clausi D.A, "Estimation of Iron Concentration in Soil of A Mining Area from Uav-Based Hyperspectral Imagery", Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing, vol. 127, 2019. Get it here. Wang C., Xu L., Clausi D.A., and Wong A, "A Bayesian Joint Decorrelation and Despeckling of SAR Imagery", IEEE Geoscience and Remote Sensing Letters, vol. 16, pp. 1393-1397, 2019. Get it here. Liu L., Chen J., Zhao G., Fieguth P., Chen X., and Pietikainen M, "Texture Classification in Extreme Scale Variations Using GANet", IEEE Transactions on Image Processing, vol. 28, pp. 3910-3922, 2019. Get it here. Liu L., Chen J., Fieguth P., Zhao G., Chellappa R., and Pietikainen M, "From BoW to CNN: Two Decades of Texture Representation for Texture Classification", International Journal of Computer Vision, vol. 127, pp. 74-109, 2019. Get it here. Liu J., Scott K.A., and Fieguth P.W, "Detection of marginal ice zone in Synthetic Aperture Radar imagery using curvelet-based features: A case study on the Canadian E", Journal of Applied Remote Sensing, vol. 13, 2019. Get it here. Leopold H.A., Orchard J., Zelek J.S., and Lakshminarayanan V, "PixelBNN: Augmenting the Pixelcnn with batch normalization and the presentation of a fast architecture for retinal vessel segmen", Journal of Imaging, vol. 5, 2019. Get it here. Amelard R., and Wong A, "Hemodynamic imaging", Encyclopedia of Biomedical Engineering, vol. 1, pp. 545-550, 2019. Get it here. Pfisterer K.J., Boger J., and Wong A, "Prototyping the automated food imaging and nutrient intake tracking system: Modified participatory iterative design sprint", JMIR Human Factors, vol. 6, 2019. Get it here. Wang J., Duguay C.R., Clausi D.A., Pinard V., and Howell S.E.L, "Semi-automated classification of Lake Ice Cover using dual polarization RADARSAT-2 imagery", Remote Sensing, vol. 10, 2018. Get it here. Fang Y., Xu L., Peng J., Yang H., Wong A., and Clausi D.A, "Unsupervised Bayesian Classification of a Hyperspectral Image Based on the Spectral Mixture Model and Markov Random Field", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, pp. 3325-3337, 2018. Get it here. Fang Y., Xu L., Peng J., Wang H., Wong A., and Clausi D.A, "Retrieval and mapping of heavy metal concentration in soil using time series landsat 8 imagery", International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, vol. 42, pp. 335-340, 2018. Get it here. Li F., Clausi D.A., Xu L., and Wong A, "St-irgs: A region-based self-training algorithm applied to hyperspectral image classification and segmentation", IEEE Transactions on Geoscience and Remote Sensing, vol. 56, pp. 3-16, 2018. Get it here. Shafiee M.J., Siva P., Fieguth P., and Wong A, "Real-Time Embedded Motion Detection via Neural Response Mixture Modeling", Journal of Signal Processing Systems, vol. 90, pp. 931-946, 2018. Get it here. Jin C., Mesquita M.M.F., Deglint J.L., Emelko M.B., and Wong A, "Quantification of cyanobacterial cells via a novel imaging-driven technique with an integrated fluorescence signature", Scientific Reports, vol. 8, 2018. Get it here. Khalvati F., Zhang J., Chung A.G., Shafiee M.J., Wong A., and Haider M.A, "MPCaD: A multi-scale radiomics-driven framework for automated prostate cancer localization and detection", BMC Medical Imaging, vol. 18, 2018. Get it here. Tan B., Wong A., and Bizheva K, "Enhancement of morphological and vascular features in OCT images using a modified Bayesian residual transform", Biomedical Optics Express, vol. 9, pp. 2394-2406, 2018. Get it here. Medeiros R.S., Wong A., and Scharcanski J, "Scalable image segmentation via decoupled sub-graph compression", Pattern Recognition, vol. 78, pp. 228-241, 2018. Get it here. Shafiee M.J., Mishra A., and Wong A, "Deep Learning with Darwin: Evolutionary Synthesis of Deep Neural Networks", Neural Processing Letters, vol. 48, pp. 603-613, 2018. Get it here. Wong A., Shafiee M.J., and St Jules M, "MicronNet: A highly compact deep convolutional neural network architecture for real-time embedded traffic sign classification", IEEE Access, vol. 6, pp. 59803-59810, 2018. Get it here. Xu L., Wong A., and Clausi D.A, "A novel Bayesian spatial-temporal random field model applied to cloud detection from remotely sensed imagery", IEEE Transactions on Geoscience and Remote Sensing, vol. 55, pp. 4913-4924, 2017. Get it here. Wang L., Scott K.A., and Clausi D.A, "Sea ice concentration estimation during freeze-up from SAR imagery using a convolutional neural network", Remote Sensing, vol. 9, 2017. Get it here. Xu L., Clausi D.A., Li F., and Wong A, "Weakly Supervised Classification of Remotely Sensed Imagery Using Label Constraint and Edge Penalty", IEEE Transactions on Geoscience and Remote Sensing, vol. 55, pp. 1424-1436, 2017. Get it here. Xu L., Wong A., and Clausi D.A, "An Enhanced Probabilistic Posterior Sampling Approach for Synthesizing SAR Imagery with Sea Ice and Oil Spills", IEEE Geoscience and Remote Sensing Letters, vol. 14, pp. 188-192, 2017. Get it here. Amelard R., Hughson R.L., Greaves D.K., Pfisterer K.J., Leung J., Clausi D.A., and Wong A, "Non-contact hemodynamic imaging reveals the jugular venous pulse waveform", Scientific Reports, vol. 7, 2017. Get it here. Li F., Sekkati H., Deglint J., Scharfenberger C., Lamm M., Clausi D., Zelek J., and Wong A, "Simultaneous Projector-Camera Self-Calibration for Three-Dimensional Reconstruction and Projection Mapping", IEEE Transactions on Computational Imaging, vol. 3, pp. 74-83, 2017. Get it here. Liu L., Fieguth P., Guo Y., Wang X., and Pietikainen M, "Local binary features for texture classification: Taxonomy and experimental study", Pattern Recognition, vol. 62, pp. 135-160, 2017. Get it here. Shafiee M.J., Wong A., and Fieguth P, "Deep Randomly-Connected Conditional Random Fields for Image Segmentation", IEEE Access, vol. 5, pp. 366-378, 2017. Get it here. Shafiee M.J., Chung A.G., Khalvati F., Haider M.A., and Wong A, "Discovery radiomics via evolutionary deep radiomic sequencer discovery for pathologically proven lung cancer detection", Journal of Medical Imaging, vol. 4, 2017. Get it here. Ben Daya I., Chen A.I.H., Shafiee M.J., Wong A., and Yeow J.T.W, "Compensated Row-Column Ultrasound Imaging System Using Multilayered Edge Guided Stochastically Fully Connected Random Fields", Scientific Reports, vol. 7, 2017. Get it here. Clark T., Zhang J., Baig S., Wong A., Haider M., and Khalvati F, "Fully automated segmentation of prostate whole gland and transition zone in diffusion-weighted MRI using convolutional neural ne", Journal of Medical Imaging, vol. 4, 2017. Get it here. Scharfenberger C., Chung A.G., Wong A., and Clausi D.A, "Salient Region Detection Using Self-Guided Statistical Non-Redundancy in Natural Images", IEEE Access, vol. 4, pp. 48-60, 2016. Get it here. Amelard R., Clausi D.A., and Wong A, "Spectral-spatial fusion model for robust blood pulse waveform extraction in photoplethysmographic imaging", Biomedical Optics Express, vol. 7, pp. 4874-4885, 2016. Get it here. Amelard R., Clausi D.A., and Wong A, "Spatial probabilistic pulsatility model for enhancing photoplethysmographic imaging systems", Journal of Biomedical Optics, vol. 21, 2016. Get it here.

Bright J., Balaji B., Chen Y., Clausi D.A., and Zelek J.S, "PitcherNet: Powering the Moneyball Evolution in Baseball Video Analytics", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2024. Get it here. Chen X., Patel M., Xu L., Chen Y., Clausi D.A., Andrea Scott K., and Huang W, "Pixel-Level Sea Ice Concentration Retrieval from Sentinel-1 SAR Imagery and Ancillary Data via Regional Loss Representations", Oceans Conference Record (IEEE), 2024. Get it here. Chen X., Patel M., Xu L., Scott K.A., Clausi D.A., and Huang W, "Enhancing Sea Ice Type Classification from AI4Arctic Dataset Based On Regional Loss Representations", International Geoscience and Remote Sensing Symposium (IGARSS), 2024. Get it here. Chomko V., Chen Y., Clausi D.A., and Wong A, "Synthetic Local Data Augmentation", 2024 IEEE 26th International Workshop on Multimedia Signal Processing, MMSP 2024, 2024. Get it here. Huang Y., Chen Y., and Zelek J, "Zero-Shot Monocular Motion Segmentation in the Wild by Combining Deep Learning with Geometric Motion Model Fusion", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2024. Get it here. Tai C.-E.A., Gunraj H., Hodzic N., Flanagan N., Sabri A., and Wong A, "Enhancing Clinical Support for Breast Cancer with Deep Learning Models Using Synthetic Correlated Diffusion Imaging", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2024. Get it here. Zhu Z., Parker W., and Wong A, "Microplastic Mass Quantification Using Focal Plane Array-Based Micro-Fourier-Transform Infrared Imaging", Environmental Engineering Science, 2024. Get it here. Sharma A., Czarnecki C., Chen Y., Xi P., Xu L., and Wong A, "How Much You Ate? Food Portion Estimation on Spoons", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2024. Get it here. Chen X., Scott K.A., Jiang M., Fang Y., Xu L., and Clausi D.A, "Sea ice classification with dual-polarized SAR imagery: a hierarchical pipeline", Proceedings - 2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2023, 2023. Get it here. Chen X., Scott K.A., and Clausi D.A, "Uncertainty Analysis of Sea Ice and Open Water Classification on SAR Imagery Using a Bayesian CNN", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2023. Get it here. Patel M., Chen X., Xu L., Pena Cantu F.J., Noa Turnes J., Brubacher N.C., Clausi D.A., and Scott K.A, "The Influence of Input Image Scale on Deep Learning-Based Beluga Whale Detection from Aerial Remote Sensing Imagery", International Geoscience and Remote Sensing Symposium (IGARSS), 2023. Get it here. Xu L., Fang Y., Chen X., and Clausi D.A, "Light-Weighted Explainable Dual Transformer Network for Hyperspectral Image Classification", International Geoscience and Remote Sensing Symposium (IGARSS), 2023. Get it here. Fang Y., De Souza A., Xu L., Chen X., and Clausi D.A, "Endmember Variable Mineral Mapping with Bayesian Convolutional Unmixing Network Using Prisma Hyperspectral Imagery", Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing, 2023. Get it here. Nazemi A., Moustafa Z., and Fieguth P, "CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2023. Get it here. Chacra D.A., and Zelek J, "Naive Scene Graphs: How Visual is Modern Visual Relationship Detection?", Proceedings - 2023 20th Conference on Robots and Vision, CRV 2023, 2023. Get it here. Wong A., Wu Y., Abbasi S., Nair S., Chen Y., and Shafiee M.J, "Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic G", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2023. Get it here. Chen Y., Gunraj H., Zeng E.Z., Meyer R., Gilles M., and Wong A, "MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking via Multimodal Redundancy", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2023. Get it here. Vanberlo B., Li B., Wong A., Hoey J., and Arntfield R, "Exploring the Utility of Self-Supervised Pretraining Strategies for the Detection of Absent Lung Sliding in M-Mode Lung Ultrasou", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2023. Get it here. Hryniowski A., and Wong A, "Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Si", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2023. Get it here. Jiang M., Chen X., Xu L., and Clausi D.A, "Semi-Supervised Sea Ice Classification of SAR Imagery Based on Graph Convolutional Network", International Geoscience and Remote Sensing Symposium (IGARSS), 2022. Get it here. Vats K., McNally W., Walters P., Clausi D.A., and Zelek J.S, "Ice hockey player identification via transformers and weakly supervised learning", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2022. Get it here. Arnold K., Fieguth P., and Lamm M, "A Moving Camera and Synthetic Calibration Target Solution for Non-Planar Scene Estimation and Projector Calibration", Digest of Technical Papers - SID International Symposium, 2022. Get it here. Raisi Z., Naiel M.A., Younes G., Fieguth P., and Zelek J, "Smart text reader system for people who are blind using machine and deep learning", Machine Learning Algorithms for Signal and Image Processing, 2022. Get it here. Raisi Z., Younes G., and Zelek J, "Arbitrary Shape Text Detection using Transformers", Proceedings - International Conference on Pattern Recognition, 2022. Get it here. Raisi Z., and Zelek J, "Occluded Text Detection and Recognition in the Wild", Proceedings - 2022 19th Conference on Robots and Vision, CRV 2022, 2022. Get it here. Chacra D.A., and Zelek J, "The Topology and Language of Relationships in the Visual Genome Dataset", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2022. Get it here. Michalopoulos G., Malyska M., Sahar N., Wong A., and Chen H, "ICDBigBird: A Contextual Embedding Model for ICD Code Classification", Proceedings of the Annual Meeting of the Association for Computational Linguistics, 2022. Get it here. Abbasi S., Wong A., and Shafiee M.J, "MAPLE: Microprocessor A Priori for Latency Estimation", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2022. Get it here. Gilles M., Chen Y., Robin Winter T., Zhixuan Zeng E., and Wong A, "MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis", IEEE International Conference on Automation Science and Engineering, 2022. Get it here. Zhu K., Wong A., and McPhee J, "FenceNet: Fine-grained Footwork Recognition in Fencing", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2022. Get it here. Nair S., Abbasi S., Wong A., and Shafiee M.J, "MAPLE-Edge: A Runtime Latency Predictor for Edge Devices", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2022. Get it here. Vats K., Fani M., Clausi D.A., and Zelek J, "Puck localization and multi-task event recognition in broadcast hockey videos", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2021. Get it here. Sadatsharifi K., Naiel M.A., Lamm M., and Fieguth P, "Efficient Model Based Grid Intersection Detection for Single-Shot 3D Reconstruction", Canadian Conference on Electrical and Computer Engineering, 2021. Get it here. Raisi Z., Naiel M.A., Younes G., Wardell S., and Zelek J, "2LSPE: 2D Learnable Sinusoidal Positional Encoding using Transformer for Scene Text Recognition", Proceedings - 2021 18th Conference on Robots and Vision, CRV 2021, 2021. Get it here. Raisi Z., Naiel M.A., Younes G., Wardell S., and Zelek J.S, "Transformer-based text detection in the wild", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2021. Get it here. McNally W., Walters P., Vats K., Wong A., and McPhee J, "DeepDarts: Modeling keypoints as objects for automatic scorekeeping in darts using a single camera", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2021. Get it here. Yun S., and Wong A, "Do all mobilenets quantize poorly? gaining insights into the effect of quantization on depthwise separable convolutional network", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2021. Get it here. MacLean A., Abbasi S., Ebadi A., Zhao A., Pavlova M., Gunraj H., Xi P., Kohli S., and Wong A, "COVID-Net US: A Tailored, Highly Efficient, Self-attention Deep Convolutional Neural Network Design for Detection of COVID-19 P", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2021. Get it here. Liu X., Yang X., Meng Z., Wang Y., Zhang J., and Wong A, "MANet: A Motion-Driven Attention Network for Detecting the Pulse from a Facial Video with Drastic Motions", Proceedings of the IEEE International Conference on Computer Vision, 2021. Get it here. Ghanbari M., Clausi D.A., Xu L., and Jiang M, "Unsupervised Segmentation of Multilook Compact Polarimetric Sar Data based on Complex Wishart Distribution", International Geoscience and Remote Sensing Symposium (IGARSS), 2020. Get it here. Lee P.Q., Xu L., and Clausi D.A, "Recalibrating Sentinel-1 Additive Noise-Gain with Linear Programming", International Geoscience and Remote Sensing Symposium (IGARSS), 2020. Get it here. Vats K., Fani M., Walters P., Clausi D.A., and Zelek J, "Event detection in coarsely annotated sports videos via parallel multi receptive field 1D convolutions", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2020. Get it here. Singh A., Sengupta S., J J.B., Mohammed A.R., Faruq I., Jayakumar V., Zelek J., and Lakshminarayanan V, "What is the Optimal Attribution Method for Explainable Ophthalmic Disease Classification?", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020. Get it here. Sengupta S., Athwale A., Gulati T., Zelek J., and Lakshminarayanan V, "Funsyn-Net: Enhanced residual variational auto-encoder and image-to-image translation network for fundus image synthesis", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2020. Get it here. Minhas M.S., and Zelek J, "Defect detection using deep learning from minimal annotations", VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2020. Get it here. Jeddi A., Shafiee M.J., Karg M., Scharfenberger C., and Wong A, "Learn2Perturb: An end-to-end feature perturbation learning to improve adversarial robustness", Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2020. Get it here. Zhong Z., Lin Z.Q., Bidart R., Hu X., Daya I.B., Li Z., Zheng W.-S., Li J., and Wong A, "Squeeze-And-Attention networks for semantic segmentation", Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2020. Get it here. Chen Y., Wu Y., Xu L., and Wong A, "Quantization in relative gradient angle domain for building polygon estimation", Proceedings - International Conference on Pattern Recognition, 2020. Get it here. Cai Z., Neher H., Vats K., Clausi D.A., and Zelek J, "Temporal hockey action recognition via pose and optical flows", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019. Get it here. Chung A.G., Fieguth P., and Wong A, "Assessing architectural similarity in populations of deep neural networks", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019. Get it here. Hu X., Naiel M.A., Wong A., Lamm M., and Fieguth P, "RUNet: A robust UNet architecture for image super-resolution", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019. Get it here. Post M., Fieguth P., Naiel M.A., Azimifar Z., and Lamm M, "FRESCO: Fast radiometric egocentric screen compensation", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019. Get it here. Saffih F., and Fieguth P, "Vehicle Longitudinal Acceleration Determination from Mobile Phone Sensor: An IoT System Solution for Intelligent Transportation", 2018 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2018, 2019. Get it here. Bello-Cerezo R., Fieguth P., and Bianconi F, "LBP-motivated colour texture classification", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019. Get it here. Hu X., Naiel M.A., Azimifar Z., Lamm M., and Fieguth P, "Robust Visual Enhancement of Moving Contents in Projected Imagery", Digest of Technical Papers - SID International Symposium, 2019. Get it here. Younes G., Asmar D., and Zelek J, "FDMO: Feature assisted direct monocular odometry", VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2019. Get it here. Barritt N., Kuppuswamy Parthasarathy M., Faruq I., Zelek J., and Lakshminarayanan V, "Fundus camera versus smartphone camera attachment: Image quality analysis", Proceedings of SPIE - The International Society for Optical Engineering, 2019. Get it here. Sengupta S., Singh A., Zelek J., and Lakshminarayanan V, "Cross-domain diabetic retinopathy detection using deep learning", Proceedings of SPIE - The International Society for Optical Engineering, 2019. Get it here. Hosseinaee Z., Tan B., Kralj O., Han L., Wong A., Sorbara L., and Bizheva K, "Fully automated corneal nerve segmentation algorithm for corneal nerves analysis from in-vivo UHR-OCT images", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2019. Get it here. McNally W., Vats K., Pinto T., Dulhanty C., McPhee J., and Wong A, "GolfDB: A video database for golf swing sequencing", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019. Get it here. Daya I.B., Yeow J.T.W., and Wong A, "Compensated row-column ultrasound imaging systems with data-driven point spread function learning", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019. Get it here. Pfisterer K.J., Amelard R., Syrnyk B., and Wong A, "Towards computer vision powered color-nutrient assessment of puréed food", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019. Get it here. Shafiee M.S., Shafiee M.J., and Wong A, "Dynamic representations toward efficient inference on deep neural networks by decision gates", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019. Get it here. Wong A., Lin Z.Q., and Chwyl B, "AttoNets: Compact and efficient deep neural networks for the edge via human-machine collaborative design", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019. Get it here. Neher H., Arlette J., and Wong A, "Discovery radiomics for detection of severely atypical melanocytic lesions (saml) from skin imaging via deep residual group conv", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019. Get it here. Deglint J.L., Jin C., and Wong A, "Investigating the automatic classification of algae using the spectral and morphological characteristics via deep residual learn", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019. Get it here. Kazemzadeh F., Li-Chang H., and Wong A, "Enhanced spectral lightfield fusion microscopy via deep computational optics for whole-slide pathology", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2019. Get it here. Kabiljagic D., and Wong A, "Resolution-enhanced digital epiluminescence microscopy using deep computational optics", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2019. Get it here. Deglint J.L., Jin C., and Wong A, "A multispectral Bayesian-based computational microscopy method for enhancing image quality", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2019. Get it here. Daya I.B., Shafiee M.J., Karg M., Scharfenberger C., and Wong A, "SANE: Towards improved prediction robustness via stochastically activated network ensembles", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019. Get it here. Daya I.B., Shafiee M.J., Karg M., Scharfenberger C., and Wong A, "SANE: Exploring adversarial robustness with stochastically activated network ensembles", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2019. Get it here. Wong A., Famuori M., Shafiee M.J., Li F., Chwyl B., and Chung J, "YOLO Nano: A Highly Compact You only Look Once Convolutional Neural Network for Object Detection", Proceedings - 5th Workshop on Energy Efficient Machine Learning and Cognitive Computing, EMC2-NIPS 2019, 2019. Get it here. Ma A., Wong A., and Clausi D.A, "Deep learning-driven depth from defocus via active multispectral quasi-random projections with complex subpatterns", Proceedings - 2018 15th Conference on Computer and Robot Vision, CRV 2018, 2018. Get it here. Amelard R., Pfisterer K.J., Jagani S., Clausi D.A., and Wong A, "Non-contact assessment of obstructive sleep apnea cardiovascular biomarkers using photoplethysmography imaging", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2018. Get it here. Roy P., Kuppuswamy Parthasarathy M., Zelek J., and Lakshminarayanan V, "Comparison of Gaussian filter versus wavelet-based denoising on graph-based segmentation of retinal OCT images", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2018. Get it here. Gholami P., Sheikh Hassani M., Kuppuswamy Parthasarathy M., Zelek J.S., and Lakshminarayanan V, "Classification of optical coherence tomography images for diagnosing different ocular diseases", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2018. Get it here. Roy P., Gholami P., Kuppuswamy Parthasarathy M., Zelek J., and Lakshminarayanan V, "Automated intraretinal layer segmentation of optical coherence tomography images using graph-theoretical methods", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2018. Get it here. Gholami P., Roy P., Kuppuswamy Parthasarathy M., Ommani A., Zelek J., and Lakshminarayanan V, "Intra-retinal segmentation of optical coherence tomography images using active contours with a dynamic programming initializatio", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2018. Get it here. Lunscher N., and Zelek J, "Deep learning whole body point cloud scans from a single depth map", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2018. Get it here. Chacra D.A., and Zelek J, "Municipal infrastructure anomaly and defect detection", European Signal Processing Conference, 2018. Get it here. Chacra D.B.A., and Zelek J.S, "Fully Automated Road Defect Detection Using Street View Images", Proceedings - 2017 14th Conference on Computer and Robot Vision, CRV 2017, 2018. Get it here. Wong A., Shafiee M.J., Li F., and Chwyl B, "Tiny SSD: A tiny single-shot detection deep convolutional neural network for real-time embedded object detection", Proceedings - 2018 15th Conference on Computer and Robot Vision, CRV 2018, 2018. Get it here. Kumar D., Menkovski V., Taylor G.W., and Wong A, "Understanding anatomy classification through attentive response maps", Proceedings - International Symposium on Biomedical Imaging, 2018. Get it here. Pfisterer K.J., Amelard R., and Wong A, "Differential color space analysis for investigating nutrient content in a puréed food dilution-flavor matrix: A step toward obj", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2018. Get it here. Haider S.A., Tran M.Y., and Wong A, "Computational circular dichroism estimation for point-of-care diagnostics via vortex half-wave retarders", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2018. Get it here. Fani M., Neher H., Clausi D.A., Wong A., and Zelek J, "Hockey Action Recognition via Integrated Stacked Hourglass Network", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2017. Get it here. Amelard R., Hughson R.L., Greaves D.K., Clausi D.A., and Wong A, "Assessing photoplethysmographic imaging performance beyond facial perfusion analysis", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2017. Get it here. Amelard R., Hughson R.L., Clausi D.A., and Wong A, "Non-contact arrhythmia assessment in natural settings: A step toward preventive cardiac care", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2017. Get it here. Leopold H.A., Orchard J., Zelek J., and Lakshminarayanan V, "Use of gabor filters and deep networks in the segmentation of retinal vessel morphology", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2017. Get it here. Leopold H.A., Orchard J., Zelek J., and Lakshminarayanan V, "Segmentation and feature extraction of retinal vascular morphology", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2017. Get it here. Karimi A.-H., Chung A.G., Shafiee M.J., Khalvati F., Haider M.A., Ghodsi A., and Wong A, "Discovery radiomics via a mixture of deep ConvNet sequencers for multi-parametric MRI prostate cancer classification", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017. Get it here. Boroomand A., Tan B., Wong A., and Bizheva K, "A stochastically fully connected conditional random field framework for super resolution OCT", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2017. Get it here. Daya I.B., Chen A.I.H., Shafiee M.J., Wong A., and Yeow J.T.W, "Compensated row-column ultrasound imaging system using three dimensional random fields", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017. Get it here. Kumar D., Wong A., and Taylor G.W, "Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2017. Get it here. Dash P.P., Wong A., and Mishra A, "VeNICE: A very deep neural network approach to no-reference image assessment", Proceedings of the IEEE International Conference on Industrial Technology, 2017. Get it here. Khalvati F., Zhang J., Wong A., and Haider M.A, "Bag of bags: Nested multi instance classification for prostate cancer detection", Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016, 2017. Get it here. Haider S.A., Kazemzadeh F., and Wong A, "Computational laser intensity stabilisation for organic molecule concentration estimation in low-resource settings", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2017. Get it here. Clark T., Wong A., Haider M.A., and Khalvati F, "Fully deep convolutional neural networks for segmentation of the prostate gland in diffusion-weighted MR images", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017. Get it here. Zhang J., Baig S., Wong A., Haider M.A., and Khalvati F, "Segmentation of prostate in diffusion MR images via clustering", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017. Get it here. Chwyl B., Chung A.G., Amelard R., Deglint J., Clausi D.A., and Wong A, "SAPPHIRE: Stochastically acquired photoplethysmogram for heart rate inference in realistic environments", Proceedings - International Conference on Image Processing, ICIP, 2016. Get it here. Deglint J., Chung A.G., Chwyl B., Amelard R., Kazemzadeh F., Wang X.Y., Clausi D.A., and Wong A, "Photoplethysmographic imaging via spectrally demultiplexed erythema fluctuation analysis for remote heart rate monitoring", Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 2016. Get it here. Kasiri K., Fieguth P., and Clausi D.A, "Sorted self-similarity for multi-modal image registration", Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2016. Get it here. Boroomand A., Sekkati H., Lamm M., Clausi D.A., and Wong A, "Saliency-guided projection geometric correction using a projector-camera system", Proceedings - International Conference on Image Processing, ICIP, 2016. Get it here.