Mehrdad J. Gangeh

According to our database, Mehrdad J. Gangeh authored at least 30 papers between 2004 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

End-to-End Unsupervised Document Image Blind Denoising.

Mehrdad J. Gangeh, Marcin Plata, Hamid R. Motahari Nezhad, Nigel P. Duffy

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2018

Localization and classification of cell nuclei in post-neoadjuvant breast cancer surgical specimen using fully convolutional networks.

Rene Bidart, Mehrdad J. Gangeh, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel, Ali Ghodsi

Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

2017

Fast and Scalable Feature Selection for Gene Expression Data Using Hilbert-Schmidt Independence Criterion.

Mehrdad J. Gangeh, Hadi Zarkoob, Ali Ghodsi

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Tumour ellipsification in ultrasound images for treatment prediction in breast cancer.

Mehrdad J. Gangeh, Hamid R. Tizhoosh, Kan Wu, Dun Huang, Hadi Tadayyon, Gregory J. Czarnota

Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016

Triaging Diagnostically Relevant Regions from Pathology Whole Slides of Breast Cancer: A Texture Based Approach.

Mohammad Peikari, Mehrdad J. Gangeh, Judit T. Zubovits, Gina M. Clarke, Anne L. Martel

IEEE Trans. Medical Imaging, 2016

Computer Aided Theragnosis Using Quantitative Ultrasound Spectroscopy and Maximum Mean Discrepancy in Locally Advanced Breast Cancer.

Mehrdad J. Gangeh, Hadi Tadayyon, Lakshmanan Sannachi, Ali Sadeghi-Naini, William T. Tran, Gregory J. Czarnota

IEEE Trans. Medical Imaging, 2016

Response monitoring using quantitative ultrasound methods and supervised dictionary learning in locally advanced breast cancer.

Mehrdad J. Gangeh, Brandon Fung, Hadi Tadayyon, William T. Tran, Gregory J. Czarnota

Proceedings of the Medical Imaging 2016: Image Processing, 2016

Tumour ROI estimation in ultrasound images via radon barcodes in patients with locally advanced breast cancer.

Hamid R. Tizhoosh, Mehrdad J. Gangeh, Hadi Tadayyon, Gregory J. Czarnota

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Semi-supervised Dictionary Learning Based on Hilbert-Schmidt Independence Criterion.

Mehrdad J. Gangeh, Safaa M. A. Bedawi, Ali Ghodsi, Fakhri Karray

Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016

2015

Supervised Dictionary Learning and Sparse Representation-A Review.

Mehrdad J. Gangeh, Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel

CoRR, 2015

Quantitative ultrasound spectroscopy and a kernel-based metric in clinical cancer response monitoring.

Mehrdad J. Gangeh, Hadi Tadayyon, Lakshmanan Sannachi, Ali Sadeghi-Naini, Gregory J. Czarnota

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Advanced machine learning and textural methods in monitoring cell death using quantitative ultrasound spectroscopy.

Mehrdad J. Gangeh, Ahmed El Kaffas, Amr Hashim, Anoja Giles, Gregory J. Czarnota

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014

Categorizing Extent of Tumor Cell Death Response to Cancer Therapy Using Quantitative Ultrasound Spectroscopy and Maximum Mean Discrepancy.

Mehrdad J. Gangeh, Ali Sadeghi-Naini, Michael Diu, Hadi Tadayyon, Mohamed S. Kamel, Gregory J. Czarnota

IEEE Trans. Medical Imaging, 2014

Multiview Supervised Dictionary Learning in Speech Emotion Recognition.

Mehrdad J. Gangeh, Pouria Fewzee, Ali Ghodsi, Mohamed S. Kamel, Fakhri Karray

IEEE ACM Trans. Audio Speech Lang. Process., 2014

Cancer therapy prognosis using quantitative ultrasound spectroscopy and a kernel-based metric.

Mehrdad J. Gangeh, Amr Hashim, Anoja Giles, Gregory J. Czarnota

Proceedings of the Medical Imaging 2014: Image Processing, 2014

2013

Kernelized Supervised Dictionary Learning.

Mehrdad J. Gangeh

PhD thesis, 2013

Kernelized Supervised Dictionary Learning.

Mehrdad J. Gangeh, Ali Ghodsi, Mohamed S. Kamel

IEEE Trans. Signal Process., 2013

Assessment of cancer therapy effects using texton-based characterization of quantitative ultrasound parametric images.

Mehrdad J. Gangeh, Ali Sadeghi-Naini, Mohamed S. Kamel, Gregory J. Czarnota

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Unsupervised Visual Changepoint Detection Using Maximum Mean Discrepancy.

Michael Diu, Mehrdad J. Gangeh, Mohamed S. Kamel

Proceedings of the Image Analysis and Recognition - 10th International Conference, 2013

2012

A Two-Stage Combined Classifier in Scale Space Texture Classification

Mehrdad J. Gangeh, Robert P. W. Duin, Bart M. ter Haar Romeny, Mohamed S. Kamel

CoRR, 2012

Supervised Texture Classification Using a Novel Compression-Based Similarity Measure.

Mehrdad J. Gangeh, Ali Ghodsi, Mohamed S. Kamel

Proceedings of the Computer Vision and Graphics - International Conference, 2012

Augmenting the decomposition of EMG signals using supervised feature extraction techniques.

Hossein Parsaei, Mehrdad J. Gangeh, Daniel W. Stashuk, Mohamed S. Kamel

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

Dictionary Learning in Texture Classification.

Mehrdad J. Gangeh, Ali Ghodsi, Mohamed S. Kamel

Proceedings of the Image Analysis and Recognition - 8th International Conference, 2011

2010

A Texton-Based Approach for the Classification of Lung Parenchyma in CT Images.

Mehrdad J. Gangeh, Lauge Sørensen, Saher B. Shaker, Mohamed S. Kamel, Marleen de Bruijne, Marco Loog

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Multiple Classifier Systems in Texton-Based Approach for the Classification of CT Images of Lung.

Mehrdad J. Gangeh, Lauge Sørensen, Saher B. Shaker, Mohamed S. Kamel, Marleen de Bruijne

Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2010

Random Subspace Method in Text Categorization.

Mehrdad J. Gangeh, Mohamed S. Kamel, Robert P. W. Duin

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Nonlinear Scale Space Theory in Texture Classification Using Multiple Classifier Systems.

Mehrdad J. Gangeh, Amir Hossein Shabani, Mohamed S. Kamel

Proceedings of the Image Analysis and Recognition, 7th International Conference, 2010

2008

Comparison of Denoising Techniques Applied on Low-Field MR Brain Images.

N. F. Ishak, Mehrdad J. Gangeh, Rajasvaran Logeswaran

Proceedings of the Fifth International Conference on Computer Graphics, 2008

2007

Scale-Space Texture Classification Using Combined Classifiers.

Mehrdad J. Gangeh, Bart M. ter Haar Romeny, Chikkannan Eswaran

Proceedings of the Image Analysis, 15th Scandinavian Conference, 2007

2004

Multiresolution eigenimages for texture classification.

Mehrdad J. Gangeh, Michel Bister, Madasu Hanmandlu

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004