The painful face: pain expression recognition using active appearance models. - Ahmed Bilal Ashraf; Simon Lucey; Jeffrey F. Cohn; Tsuhan Chen; Zara Ambadar; Kenneth M. Prkachin; Patty Solomon; Barry-John Theobald (ICMI, 2007)

Learning patch correspondences for improved viewpoint invariant face recognition. - Ahmed Bilal Ashraf; Simon Lucey; Tsuhan Chen (CVPR, 2008)

The painful face - Pain expression recognition using active appearance models. - Ahmed Bilal Ashraf; Simon Lucey; Jeffrey F. Cohn; Tsuhan Chen; Zara Ambadar; Kenneth M. Prkachin; Patricia E. Solomon (Image Vis. Comput., 2009)

Fast image alignment in the Fourier domain. - Ahmed Bilal Ashraf; Simon Lucey; Tsuhan Chen (CVPR, 2010)

3D augmented Markov random field for object recognition. - Wei Yu 005; Ahmed Bilal Ashraf; Yao-Jen Chang; Congcong Li; Tsuhan Chen (ICIP, 2010)

Reinterpreting the Application of Gabor Filters as a Manipulation of the Margin in Linear Support Vector Machines. - Ahmed Bilal Ashraf; Simon Lucey; Tsuhan Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

A Multichannel Markov Random Field Approach for Automated Segmentation of Breast Cancer Tumor in DCE-MRI Data Using Kinetic Observation Model. - Ahmed Bilal Ashraf; Sara Gavenonis; Dania Daye; Carolyn Mies; Michael D. Feldman; Mark Rosen; Despina Kontos (MICCAI (3), 2011)

Predicting axillary lymph node metastasis from kinetic statistics of DCE-MRI breast images. - Ahmed Bilal Ashraf; Lilie Lin; Sara C. Gavenonis; Carolyn Mies; Eric Xanthopoulos; Despina Kontos (Computer-Aided Diagnosis, 2012)

Heterogeneity Wavelet Kinetics from DCE-MRI for Classifying Gene Expression Based Breast Cancer Recurrence Risk. - Majid Mahrooghy; Ahmed Bilal Ashraf; Dania Daye; Carolyn Mies; Michael D. Feldman; Mark Rosen; Despina Kontos (MICCAI (2), 2013)

Fourier Lucas-Kanade Algorithm. - Simon Lucey; Rajitha Navarathna; Ahmed Bilal Ashraf; Sridha Sridharan (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Nearest neighbor classifier generalization through spatially constrained filters. - Simon Lucey; Ahmed Bilal Ashraf (Pattern Recognit., 2013)

A Multichannel Markov Random Field Framework for Tumor Segmentation With an Application to Classification of Gene Expression-Based Breast Cancer Recurrence Risk. - Ahmed Bilal Ashraf; Sara Gavenonis; Dania Daye; Carolyn Mies; Mark A. Rosen; Despina Kontos (IEEE Trans. Medical Imaging, 2013)

Sparse representation of multi parametric DCE-MRI features using K-SVD for classifying gene expression based breast cancer recurrence risk. - Majid Mahrooghy; Ahmed Bilal Ashraf; Dania Daye; Carolyn Mies; Mark Rosen; Michael D. Feldman; Despina Kontos (Computer-Aided Diagnosis, 2014)

Quantification of tumor changes during neoadjuvant chemotherapy with longitudinal breast DCE-MRI registration. - Jia Wu 008; Yangming Ou; Susan P. Weinstein; Emily F. Conant; Ning Yu; Vahid Hoshmand; Brad M. Keller; Ahmed Bilal Ashraf; Mark Rosen; Angela DeMichele; Christos Davatzikos; Despina Kontos (Computer-Aided Diagnosis, 2015)

A superpixel-based framework for automatic tumor segmentation on breast DCE-MRI. - Ning Yu; Jia Wu 008; Susan P. Weinstein; Bilwaj Gaonkar; Brad M. Keller; Ahmed Bilal Ashraf; YunQing Jiang; Christos Davatzikos; Emily F. Conant; Despina Kontos (Computer-Aided Diagnosis, 2015)

Pharmacokinetic Tumor Heterogeneity as a Prognostic Biomarker for Classifying Breast Cancer Recurrence Risk. - Majid Mahrooghy; Ahmed Bilal Ashraf; Dania Daye; Elizabeth S. McDonald; Mark Rosen; Carolyn Mies; Michael D. Feldman; Despina Kontos (IEEE Trans. Biomed. Eng., 2015)

Automated Video Analysis of Handwashing Behavior as a Potential Marker of Cognitive Health in Older Adults. - Ahmed Bilal Ashraf; Babak Taati (IEEE J. Biomed. Health Informatics, 2016)

Video analysis of "YouTube funnies" to aid the study of human gait and falls - preliminary results and proof of concept. - Babak Taati; Pranay Lohia; Avril Mansfield; Ahmed Bilal Ashraf (EMBC, 2017)

Subspace selection to suppress confounding source domain information in AAM transfer learning. - Azin Asgarian; Ahmed Bilal Ashraf; David J. Fleet; Babak Taati (IJCB, 2017)

A Hybrid Instance-based Transfer Learning Method. - Azin Asgarian; Parinaz Sobhani; Ji Chao Zhang; Madalin Mihailescu; Ariel Sibilia; Ahmed Bilal Ashraf; Babak Taati (CoRR, 2018)

Learning to Unlearn: Building Immunity to Dataset Bias in Medical Imaging Studies. - Ahmed Ashraf 001; Shehroz S. Khan; Nikhil Bhagwat; M. Mallar Chakravarty; Babak Taati (CoRR, 2018)

Limitations and Biases in Facial Landmark Detection D An Empirical Study on Older Adults with Dementia. - Azin Asgarian; Shun Zhao; Ahmed Bilal Ashraf; M. Erin Browne; Kenneth M. Prkachin; Alex Mihailidis; Thomas Hadjistavropoulos; Babak Taati (CVPR Workshops, 2019)

Pain Expression Recognition Using Occluded Faces. - Ahmed Ashraf 001; Anqi Yang; Babak Taati (FG, 2019)

Algorithmic Bias in Clinical Populations - Evaluating and Improving Facial Analysis Technology in Older Adults With Dementia. - Babak Taati; Shun Zhao; Ahmed Bilal Ashraf; Azin Asgarian; M. Erin Browne; Kenneth M. Prkachin; Alex Mihailidis; Thomas Hadjistavropoulos (IEEE Access, 2019)

Limitations and Biases in Facial Landmark Detection - An Empirical Study on Older Adults with Dementia. - Azin Asgarian; Shun Zhao; Ahmed Bilal Ashraf; M. Erin Browne; Kenneth M. Prkachin; Alex Mihailidis; Thomas Hadjistavropoulos; Babak Taati (CoRR, 2019)

Enhancement of Multimodal Microwave-Ultrasound Breast Imaging Using a Deep-Learning Technique. - Vahab Khoshdel; Ahmed Ashraf 001; Joe LoVetri (Sensors, 2019)

COVIDomaly: A Deep Convolutional Autoencoder Approach for Detecting Early Cases of COVID-19. - Faraz Khoshbakhtian; Ahmed Bilal Ashraf; Shehroz S. Khan (CoRR, 2020)

Full 3D Microwave Breast Imaging Using a Deep-Learning Technique. - Vahab Khoshdel; Mohammad Asefi; Ahmed Ashraf 001; Joe LoVetri (J. Imaging, 2020)

Anomaly Detection Approach to Identify Early Cases in a Pandemic using Chest X-rays. - Shehroz S. Khan; Faraz Khoshbakhtian; Ahmed Bilal Ashraf (Canadian AI, 2021)

Classification of Partial Discharge Signals Using 1D Convolutional Neural Networks. - Sara Mantach; Hamed Janani; Ahmed Ashraf 001; Behzad Kordi (CCECE, 2021)

A multi-branch deep convolutional fusion architecture for 3D microwave inverse scattering: stored grain application. - Vahab Khoshdel; Mohhamad Asefi; Ahmed Ashraf 001; Joe LoVetri (Neural Comput. Appl., 2021)

An interpretable CNN model for classification of partial discharge waveforms in 3D-printed dielectric samples with different void sizes. - Sara Mantach; Puneet Gill; Derek R. Oliver; Ahmed Ashraf 001; Behzad Kordi (Neural Comput. Appl., 2022)

TransformerChrome: Transformer-based Model for Prediction of Gene Expression from Histone Modifications. - Muhammad Tahir; Shehroz Khan 001; James R. Davie; Soichiro Yamanaka; Ahmed Ashraf 001 (Canadian AI, 2024)

Artificial intelligence and deep learning algorithms for epigenetic sequence analysis: A review for epigeneticists and AI experts. - Muhammad Tahir; Mahboobeh Norouzi; Shehroz S. Khan; James R. Davie; Soichiro Yamanaka; Ahmed Ashraf 001 (Comput. Biol. Medicine, 2024)

A deep learning approach to satellite image time series coregistration through alignment of road networks. - Andrés F. Pérez; Pooneh Maghoul; Ahmed Ashraf 001 (Neural Comput. Appl., 2024)

VolPAM: Volumetric Phenotype-Activation-Map for data-driven discovery of 3D imaging phenotypes and interpretability. - Mahboobeh Norouzi; Shehroz S. Khan; Ahmed Ashraf 001 (Neural Comput. Appl., 2024)

LOCO-EPI: Leave-one-chromosome-out (LOCO) as a benchmarking paradigm for deep learning based prediction of enhancer-promoter interactions. - Muhammad Tahir; Shehroz S. Khan; James R. Davie; Soichiro Yamanaka; Ahmed Ashraf 001 (Appl. Intell., 2025)

Inference of Transit Alighting From Automatic Boarding Count Data: A Double DQN Clustering. - Tara Saeidi; Babak Mehran; Ahmed Ashraf 001 (IEEE Trans. Intell. Transp. Syst., 2025)

ChestGPT: Integrating Large Language Models and Vision Transformers for Disease Detection and Localization in Chest X-Rays. - Shehroz S. Khan; Petar Przulj; Ahmed Ashraf 001; Ali Abedi 003 (CoRR, 2025)