Search Results - "Gangeh, Mehrdad J."

A priori Prediction of Neoadjuvant Chemotherapy Response and Survival in Breast Cancer Patients using Quantitative Ultrasound by Tadayyon, Hadi, Sannachi, Lakshmanan, Gangeh, Mehrdad J., Kim, Christina, Ghandi, Sonal, Trudeau, Maureen, Pritchard, Kathleen, Tran, William T., Slodkowska, Elzbieta, Sadeghi-Naini, Ali, Czarnota, Gregory J.

“…Quantitative ultrasound (QUS) can probe tissue structure and analyze tumour characteristics. Using a 6-MHz ultrasound system, radiofrequency data were acquired…”
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Predicting breast cancer response to neoadjuvant chemotherapy using pretreatment diffuse optical spectroscopic texture analysis by Tran, William T, Gangeh, Mehrdad J, Sannachi, Lakshmanan, Chin, Lee, Watkins, Elyse, Bruni, Silvio G, Rastegar, Rashin Fallah, Curpen, Belinda, Trudeau, Maureen, Gandhi, Sonal, Yaffe, Martin, Slodkowska, Elzbieta, Childs, Charmaine, Sadeghi-Naini, Ali, Czarnota, Gregory J

“…Background: Diffuse optical spectroscopy (DOS) has been demonstrated capable of monitoring response to neoadjuvant chemotherapy (NAC) in locally advanced…”
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Triaging Diagnostically Relevant Regions from Pathology Whole Slides of Breast Cancer: A Texture Based Approach by Peikari, Mohammad, Gangeh, Mehrdad J., Zubovits, Judit, Clarke, Gina, Martel, Anne L.

“…Purpose: Pathologists often look at whole slide images (WSIs) at low magnification to find potentially important regions and then zoom in to higher…”
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Fast and Scalable Feature Selection for Gene Expression Data Using Hilbert-Schmidt Independence Criterion by Gangeh, Mehrdad J., Zarkoob, Hadi, Ghodsi, Ali

“…Goal : In computational biology, selecting a small subset of informative genes from microarray data continues to be a challenge due to the presence of…”
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Kernelized Supervised Dictionary Learning by Gangeh, Mehrdad J., Ghodsi, Ali, Kamel, Mohamed S.

“…In this paper, we propose supervised dictionary learning (SDL) by incorporating information on class labels into the learning of the dictionary. To this end,…”
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Multiview Supervised Dictionary Learning in Speech Emotion Recognition by Gangeh, Mehrdad J., Fewzee, Pouria, Ghodsi, Ali, Kamel, Mohamed S., Karray, Fakhri

“…Recently, a supervised dictionary learning (SDL) approach based on the Hilbert-Schmidt independence criterion (HSIC) has been proposed that learns the…”
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Computer-Aided Theragnosis Based on Tumor Volumetric Information in Breast Cancer by Gangeh, Mehrdad J., Liu, Simon, Tadayyon, Hadi, Czarnota, Gregory J.

“…Objective: A computer-assisted technology has recently been proposed for the assessment of therapeutic responses to neoadjuvant chemotherapy in patients with…”
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Computer Aided Theragnosis Using Quantitative Ultrasound Spectroscopy and Maximum Mean Discrepancy in Locally Advanced Breast Cancer by Gangeh, Mehrdad J., Tadayyon, Hadi, Sannachi, Lakshmanan, Sadeghi-Naini, Ali, Tran, William T., Czarnota, Gregory J.

“…A noninvasive computer-aided-theragnosis (CAT) system was developed for the early therapeutic cancer response assessment in patients with locally advanced…”
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Tumour Vascular Shutdown and Cell Death Following Ultrasound-Microbubble Enhanced Radiation Therapy by El Kaffas, Ahmed, Gangeh, Mehrdad J, Farhat, Golnaz, Tran, William Tyler, Hashim, Amr, Giles, Anoja, Czarnota, Gregory J

“…High-dose radiotherapy effects are regulated by acute tumour endothelial cell death followed by rapid tumour cell death instead of canonical DNA break damage…”
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Categorizing Extent of Tumor Cell Death Response to Cancer Therapy Using Quantitative Ultrasound Spectroscopy and Maximum Mean Discrepancy by Gangeh, Mehrdad J., Sadeghi-Naini, Ali, Diu, Michael, Tadayyon, Hadi, Kamel, Mohamed S., Czarnota, Gregory J.

“…Quantitative ultrasound (QUS) spectroscopic techniques in conjunction with maximum mean discrepancy (MMD) have been proposed to detect, and to classify…”
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End-to-End Unsupervised Document Image Blind Denoising by Gangeh, Mehrdad J, Plata, Marcin, Motahari Nezhad, Hamid R, Duffy, Nigel P

“…Removing noise from scanned pages is a vital step before their submission to optical character recognition (OCR) system. Most available image denoising methods…”
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Ultrasound Imaging of Apoptosis: Spectroscopic Detection of DNA-Damage Effects In Vivo by Tadayyon, Hadi, Gangeh, Mehrdad J, Vlad, Roxana, Kolios, Michael C, Czarnota, Gregory J

“…In this chapter, we describe two new methodologies: (1) application of high-frequency ultrasound spectroscopy for in vivo detection of cancer cell death in…”
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Ultrasound Imaging of DNA-Damage Effects in Live Cultured Cells and in Brain Tissue by Tadayyon, Hadi, Gangeh, Mehrdad J, Vlad, Roxana, Kolios, Michael C, Czarnota, Gregory J

“…High-frequency ultrasound (>20 MHz) spectroscopy can be used to detect noninvasively DNA damage in cell samples in vitro, and in live tissue both ex vivo and…”
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Quantitative evaluation of cell death response in vitro and in vivo using conventional-frequency ultrasound by Sadeghi-Naini, Ali, Zhou, Stephanie, Gangeh, Mehrdad J, Jahedmotlagh, Zahra, Falou, Omar, Ranieri, Shawn, Azrif, Muhammad, Giles, Anoja, Czarnota, Gregory J

“…Previous studies using high-frequency ultrasound have suggested that radiofrequency (RF) spectral analysis can be used to quantify changes in cell morphology…”
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A texton-based approach for the classification of lung parenchyma in CT images by Gangeh, Mehrdad J, Sørensen, Lauge, Shaker, Saher B, Kamel, Mohamed S, de Bruijne, Marleen, Loog, Marco

“…In this paper, a texton-based classification system based on raw pixel representation along with a support vector machine with radial basis function kernel is…”
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Advanced machine learning and textural methods in monitoring cell death using quantitative ultrasound spectroscopy by Gangeh, Mehrdad J., El Kaffas, Ahmed, Hashim, Amr, Giles, Anoja, Czarnota, Gregory J.

“…A computer-aided-prognosis system is demonstrated based on quantitative ultrasound spectroscopy methods, textural features using local binary patterns (LBPs),…”
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Random Subspace Method in Text Categorization by Gangeh, Mehrdad J, Kamel, Mohamed S, Duin, Robert P W

“…In text categorization (TC), which is a supervised technique, a feature vector of terms or phrases is usually used to represent the documents. Due to the huge…”
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A fuzzy-based texture analysis for tissue characterization of diffused liver diseases on B-scan images by Gangeh, Mehrdad J, Hanmandlu, Madasu, Bister, Michel

“…The specific texture on B-scan images is believed to be related to both ultrasound machine characteristics and tissue properties, i.e., the pathological states…”
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Augmenting the decomposition of EMG signals using supervised feature extraction techniques by Parsaei, H., Gangeh, M. J., Stashuk, D. W., Kamel, M. S.

“…Electromyographic (EMG) signal decomposition is the process of resolving an EMG signal into its constituent motor unit potential trains (MUPTs). In this work,…”
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Tumour ROI estimation in ultrasound images via radon barcodes in patients with locally advanced breast cancer by Tizhoosh, Hamid R., Gangeh, MehrdadJ, Tadayyon, Hadi, Czarnota, Gregory J.

“…Quantitative ultrasound (QUS) methods provide a promising framework that can non-invasively and inexpensively be used to predict or assess the tumour response…”
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