Search Results - "Iftekharuddin, K. M"

Survey on Deep Neural Networks in Speech and Vision Systems by Alam, M., Samad, M.D., Vidyaratne, L., Glandon, A., Iftekharuddin, K.M.

“…This survey presents a review of state-of-the-art deep neural network architectures, algorithms, and systems in speech and vision applications. Recent advances…”
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Detection and tracking of targets in infrared images using Bayesian techniques by Shaik, J., Iftekharuddin, K.M.

“…Simple yet robust techniques for detecting targets in infrared (IR) images are an important component of automatic target recognition (ATR) systems. In our…”
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Glidar3DJ: a View-Invariant Gait Identification via Flash Lidar Data Correction by Sadeghzadehyazdi, Nasrin, Batabyal, Tamal, Glandon, A., Dhar, Nibir K., Familoni, B. O., Iftekharuddin, K. M., Acton, Scott T.

“…Gait recognition is a leading remote-based identification method, suitable for real-world surveillance and medical applications. Model-based gait recognition…”
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Brain Tumor Recurrence vs. Radiation Necrosis Classification and Patient Survivability Prediction by Sadique, M. S., Farzana, W., Temtam, A., Lappinen, E., Vossough, A., Iftekharuddin, K. M.

“…GB (Glioblastoma WHO Grade 4) is the most aggressive type of brain tumor in adults that has a short survival rate even after aggressive treatment with surgery…”
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3D far-field Lidar sensing and computational modeling for human identification by Glandon, A, Vidyaratne, L, Dhar, N K, Familoni, B O, Sadeghzadehyazdi, N, Acton, S T, Iftekharuddin, K M

“…3D sensors offer depth sensing that may be used for task-specific data processing and computational modeling. Many existing methods for human identification…”
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Novel deep generative simultaneous recurrent model for efficient representation learning by Alam, M., Vidyaratne, L., Iftekharuddin, K.M.

“…Representation learning plays an important role for building effective deep neural network models. Deep generative probabilistic models have shown to be…”
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A survey of perceptual image processing methods by Beghdadi, A., Larabi, M.-C., Bouzerdoum, A., Iftekharuddin, K.M.

“…Perceptual approaches have been widely used in many areas of visual information processing. This paper presents an overview of perceptual based approaches for…”
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Determination of exact rotation angle and discrimination for rotated images by Iftekharuddin, K.M., Rentala, C., Dani, A.

“…The complex frequency scaling property of Fourier transforms may be very effective for the determination of exact image rotation angle in application areas…”
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Deep SRN for robust object recognition: A case study with NAO humanoid robot by Alam, M., Vidyaratne, L., Wash, T., Iftekharuddin, K. M.

“…In recent years, deep neural networks have shown excellent performance for solving complex object recognition tasks. The increase in performance is achieved by…”
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Fractal analysis of tumor in brain MR images by Iftekharuddin, Khan M., Jia, Wei, Marsh, Ronald

“…The purpose of this study is to discuss existing fractal-based algorithms and propose novel improvements of these algorithms to identify tumors in brain…”
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Modified signed-digit trinary addition using synthetic wavelet filter by Iftekharuddin, K.M., Razzaque, M.A.

“…The modified signed-digit (MSD) number system has been a topic of interest as it allows for parallel carry-free addition of two numbers for digital optical…”
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Optimization of amplitude-modulated inverse filter by Iftekharuddin, K.M., Karim, M.A., Awwal, A.A.S.

“…The amplitude-modulated inverse filter is optimized for improved pattern recognition. Both correlation performance and output signal-to-noise ratio for this…”
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3D Skeleton Estimation and Human Identity Recognition Using Lidar Full Motion Video by Glandon, A., Vidyaratne, L., Sadeghzadehyazdi, N., Dhar, Nibir K., Familoni, Jide O., Acton, Scott T., Iftekharuddin, K. M.

“…This work proposes a novel computational modeling to estimate 3D dense skeleton and corresponding joint locations from Lidar (light detection and ranging) full…”
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ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI by Maier, Oskar, Menze, Bjoern H., von der Gablentz, Janina, Häni, Levin, Heinrich, Mattias P., Liebrand, Matthias, Winzeck, Stefan, Basit, Abdul, Bentley, Paul, Chen, Liang, Christiaens, Daan, Dutil, Francis, Egger, Karl, Feng, Chaolu, Glocker, Ben, Götz, Michael, Haeck, Tom, Halme, Hanna-Leena, Havaei, Mohammad, Iftekharuddin, Khan M., Jodoin, Pierre-Marc, Kamnitsas, Konstantinos, Kellner, Elias, Korvenoja, Antti, Larochelle, Hugo, Ledig, Christian, Lee, Jia-Hong, Maes, Frederik, Mahmood, Qaiser, Maier-Hein, Klaus H., McKinley, Richard, Muschelli, John, Pal, Chris, Pei, Linmin, Rangarajan, Janaki Raman, Reza, Syed M.S., Robben, David, Rueckert, Daniel, Salli, Eero, Suetens, Paul, Wang, Ching-Wei, Wilms, Matthias, Kirschke, Jan S., Krämer, Ulrike M., Münte, Thomas F., Schramm, Peter, Wiest, Roland, Handels, Heinz, Reyes, Mauricio

“…•Evaluation framework for automatic stroke lesion segmentation from MRI•Public multi-center, multi-vendor, multi-protocol databases released•Ongoing fair and…”
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Novel hierarchical Cellular Simultaneous Recurrent neural Network for object detection by Alam, M., Vidyaratne, L., Iftekharuddin, K. M.

“…Large scale feed forward neural networks have seen intense application in many computer vision problems. However, these networks can get hefty and…”
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Efficacy of Texture, Shape, and Intensity Feature Fusion for Posterior-Fossa Tumor Segmentation in MRI by Ahmed, S, Iftekharuddin, K M, Vossough, A

“…Our previous works suggest that fractal texture feature is useful to detect pediatric brain tumor in multimodal MRI. In this study, we systematically…”
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Transformation Invariant On-Line Target Recognition by Iftekharuddin, K M

“…Transformation invariant automatic target recognition (ATR) has been an active research area due to its widespread applications in defense, robotics, medical…”
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Novel Fractal Feature-Based Multiclass Glaucoma Detection and Progression Prediction by Kim, P. Y., Iftekharuddin, K. M., Davey, P. G., Toth, Marta, Garas, A., Holló, Gabor, Essock, E. A.

“…We investigate the use of fractal analysis (FA) as the basis of a system for multiclass prediction of the progression of glaucoma. FA is applied to pseudo 2-D…”
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Deep recurrent neural network for seizure detection by Vidyaratne, L., Glandon, A., Alam, M., Iftekharuddin, K. M.

“…EEG is one the most effective tools used in the diagnosis of epilepsy. However, proper diagnosis of epilepsy requires the detection and analysis of epileptic…”
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A fractal analysis approach to identification of tumor in brain MR images by Iftekharuddin, K.M., Jia, W., Marsh, R.

“…Considerable research has been pursued on fractal geometry in various aspects of image analysis and pattern recognition. Magnetic resonance (MT) images…”
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