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ORCIDNaimul Mefraz Khan
Naimul Khan 0001
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- affiliation: Toronto Metropolitan University, ON, Canada
- affiliation (former): Ryerson University, Toronto, ON, Canada
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2020 – today
- 2024
[j22]Dylan Young
, Naimul Khan, Sebastian R. Hobson, Dafna Sussman:
Diagnosis of placenta accreta spectrum using ultrasound texture feature fusion and machine learning. Comput. Biol. Medicine 178: 108757 (2024)- [j21]Md. Niaz Imtiaz, Naimul Khan:
Cross-database and cross-channel electrocardiogram arrhythmia heartbeat classification based on unsupervised domain adaptation. Expert Syst. Appl. 244: 122960 (2024) - [j20]Boujemaa Guermazi, Riadh Ksantini, Naimul Khan:
DynaSeg: A deep dynamic fusion method for unsupervised image segmentation incorporating feature similarity and spatial continuity. Image Vis. Comput. 150: 105206 (2024) - [c55]Paolo Iacono, Naimul Mefraz Khan:
Structure Preserving Cycle-Gan for Unsupervised Medical Image Domain Adaptation. EMBC 2024: 1-5 - [c54]Paolo Iacono, Naimul Mefraz Khan:
Multi-Modal Emotion Recognition Using EEG and Eye Tracking Features. EMBC 2024: 1-5 - [c53]Behzad Mahaseni, Naimul Mefraz Khan:
EEG Signal Denoising Using Beta-Variational Autoencoder. EMBC 2024: 1-4 - [c52]Muhammad Rehman Zafar, Naimul Khan:
Attentional Feature Fusion for Few-Shot Learning. IJCNN 2024: 1-8 - [c51]Neetika Gupta, Ayush Nangia, Naimul Mefraz Khan:
Multi-stage Segmentation of Diabetic Foot Ulcers Using Self-supervised Learning. DFUC@MICCAI 2024: 55-67 - [c50]Ryan Tan, Thanh Hong-Phuoc, Lei Gao, Randy Tan, Sagarjit Aujla, Adel Mohamed, Ling Guan, Karthikeyan Umapathy, Naimul Mefraz Khan:
Enhancement of Neonatal Lung Pathology Classification Using Multi-view Feature Representation. MIPR 2024: 190-195 - [i33]Julieana Moon, Naimul Khan:
Navigating the Serious Game Design Landscape: A Comprehensive Reference Document. CoRR abs/2404.10649 (2024) - [i32]Boujemaa Guermazi, Naimul Khan:
DynaSeg: A Deep Dynamic Fusion Method for Unsupervised Image Segmentation Incorporating Feature Similarity and Spatial Continuity. CoRR abs/2405.05477 (2024) - 2023
- [j19]Julian True, Naimul Khan:
Motion Vector Extrapolation for Video Object Detection. J. Imaging 9(7): 132 (2023) - [c49]Meghan Muldoon, Naimul Khan:
Lightweight and Interpretable Left Ventricular Ejection Fraction Estimation Using Mobile U-Net. ISBI 2023: 1-5 - [c48]Kai Liu, Zheng Guo, Lei Gao, Naimul Mefraz Khan, Ling Guan:
Towards Efficient Multi-view Representation Learning. ISM 2023: 225-229 - [i31]Paolo Iacono, Naimul Khan:
Structure Preserving Cycle-GAN for Unsupervised Medical Image Domain Adaptation. CoRR abs/2304.09164 (2023) - [i30]Md. Niaz Imtiaz, Naimul Khan:
Cross-Database and Cross-Channel ECG Arrhythmia Heartbeat Classification Based on Unsupervised Domain Adaptation. CoRR abs/2306.04433 (2023) - 2022
- [j18]Syem Ishaque, Naimul Khan, Sridhar Krishnan:
Comprehending the impact of deep learning algorithms on optimizing for recurring impediments associated with stress prediction using ECG data through statistical analysis. Biomed. Signal Process. Control. 74: 103484 (2022) - [j17]Neetika Gupta, Naimul Mefraz Khan:
Efficient and Scalable Object Localization in 3D on Mobile Device. J. Imaging 8(7): 188 (2022) - [j16]Shreya Goyal, Naimul Khan, Chiranjoy Chattopadhyay, Gaurav Bhatnagar:
GRIHA: synthesizing 2-dimensional building layouts from images captured using a smart phone. Multim. Tools Appl. 81(10): 14589-14612 (2022) - [j15]Randy Tan, Lei Gao, Naimul Khan, Ling Guan:
Interpretable Artificial Intelligence through Locality Guided Neural Networks. Neural Networks 155: 58-73 (2022) - [c47]Md. Niaz Imtiaz, Naimul Khan:
Pan-Tompkins++: A Robust Approach to Detect R-peaks in ECG Signals. BIBM 2022: 2905-2912 - [c46]Ragavie Pirabaharan, Naimul Khan:
Improving Interactive Segmentation using a Novel Weighted Loss Function with an Adaptive Click Size and Two-Stream Fusion. BigMM 2022: 7-12 - [c45]Boujemaa Guermazi, Riadh Ksantini, Naimul Khan:
A Dynamically Weighted Loss Function for Unsupervised Image Segmentation. BigMM 2022: 73-78 - [c44]Sagarjit Aujla, Adel Mohamed, Naimul Khan, Karthikeyan Umapathy:
Multi-Level Classification of Lung Pathologies in Neonates using Recurrence Features. EMBC 2022: 1531-1535 - [c43]Thong Vo, Naimul Khan:
Edge-preserving Image Synthesis for Unsupervised Domain Adaptation in Medical Image Segmentation. EMBC 2022: 3753-3757 - [c42]Somayeh Barzegar, Naimul Khan:
Skin lesion segmentation using a semi-supervised U-NetSC model with an adaptive loss function. EMBC 2022: 3776-3780 - [c41]Svetlana Rovinska, Naimul Khan:
Affective State Recognition with Convolutional Autoencoders. EMBC 2022: 4664-4667 - [c40]Ragavie Pirabaharan, Naimul Khan:
Interactive Segmentation Using U-Net with Weight Map and Dynamic User Interactions. EMBC 2022: 4754-4757 - [c39]Thong Vo, Pranjal Dave, Gaurav Bajpai, Rasha Kashef, Naimul Khan:
Brain Tumor Segmentation in MRI Images Using A Modified U-Net Model. ICDH 2022: 29-33 - [c38]Zheng Guo, Thanh Hong-Phuoc, Naimul Khan, Ling Guan:
A Highly Optimized GPU Batched Elasticnet Solver (BENS) with Application to Real- Time Keypoint Detection for Image Retrieval. MIPR 2022: 358-361 - [i29]Zeeshan Ahmad, Naimul Mefraz Khan:
A Survey on Physiological Signal Based Emotion Recognition. CoRR abs/2205.10466 (2022) - 2021
- [j14]Zeeshan Ahmad, Anika Tabassum, Ling Guan, Naimul Mefraz Khan:
ECG Heartbeat Classification Using Multimodal Fusion. IEEE Access 9: 100615-100626 (2021) - [j13]Syem Ishaque, Naimul Mefraz Khan, Sridhar Krishnan:
Trends in Heart-Rate Variability Signal Analysis. Frontiers Digit. Health 3: 639444 (2021) - [j12]Kai Liu, Lei Gao, Naimul Mefraz Khan, Lin Qi, Ling Guan:
Integrating vertex and edge features with Graph Convolutional Networks for skeleton-based action recognition. Neurocomputing 466: 190-201 (2021) - [j11]Muhammad Rehman Zafar, Naimul Khan:
Deterministic Local Interpretable Model-Agnostic Explanations for Stable Explainability. Mach. Learn. Knowl. Extr. 3(3): 525-541 (2021) - [j10]Kai Liu, Lei Gao, Naimul Mefraz Khan, Lin Qi, Ling Guan:
A Multi-Stream Graph Convolutional Networks-Hidden Conditional Random Field Model for Skeleton-Based Action Recognition. IEEE Trans. Multim. 23: 64-76 (2021) - [c37]Gayathiri Murugamoorthy, Naimul Khan:
Interpreting Uncertainty in Model Predictions for Covid-19 Diagnosis. EMBC 2021: 2034-2037 - [c36]Rodina Bassiouny, Adel Mohamed, Karthi Umapathy, Naimul Khan:
An Interpretable Object Detection-Based Model For The Diagnosis Of Neonatal Lung Diseases Using Ultrasound Images. EMBC 2021: 3029-3034 - [c35]Zeeshan Ahmad, Anika Tabassum, Ling Guan, Naimul Mefraz Khan:
ECG Heart-Beat Classification Using Multimodal Image Fusion. ICASSP 2021: 1330-1334 - [c34]Nicolas Ewen, Naimul Khan:
Targeted Self Supervision For Classification On A Small Covid-19 Ct Scan Dataset. ISBI 2021: 1481-1485 - [c33]Kai Liu, Lei Gao, Naimul Mefraz Khan, Lin Qi, Ling Guan:
A two-stream heterogeneous network for action recognition based on skeleton and RGB modalities. ISM 2021: 87-91 - [i28]Shreya Goyal, Naimul Khan, Chiranjoy Chattopadhyay, Gaurav Bhatnagar:
GRIHA: Synthesizing 2-Dimensional Building Layouts from Images Captured using a Smart Phone. CoRR abs/2103.08297 (2021) - [i27]Julian True, Naimul Khan:
Motion Vector Extrapolation for Video Object Detection. CoRR abs/2104.08918 (2021) - [i26]Rodina Bassiouny, Adel Mohamed, Karthi Umapathy, Naimul Khan:
An interpretable object detection based model for the diagnosis of neonatal lung diseases using Ultrasound images. CoRR abs/2105.10081 (2021) - [i25]Zeeshan Ahmad, Naimul Mefraz Khan:
Inertial Sensor Data To Image Encoding For Human Action Recognition. CoRR abs/2105.13533 (2021) - [i24]Zeeshan Ahmad, Anika Tabassum, Naimul Mefraz Khan, Ling Guan:
ECG Heart-beat Classification Using Multimodal Image Fusion. CoRR abs/2105.13536 (2021) - [i23]Zeeshan Ahmad, Suha Rabbani, Muhammad Rehman Zafar, Syem Ishaque, Sridhar Krishnan, Naimul Mefraz Khan:
Multi-level Stress Assessment from ECG in a Virtual Reality Environment using Multimodal Fusion. CoRR abs/2107.04566 (2021) - [i22]Zeeshan Ahmad, Anika Tabassum, Ling Guan, Naimul Mefraz Khan:
ECG Heartbeat Classification Using Multimodal Fusion. CoRR abs/2107.09869 (2021) - [i21]Nicolas Ewen, Naimul Khan:
Online unsupervised Learning for domain shift in COVID-19 CT scan datasets. CoRR abs/2108.02002 (2021) - [i20]Ragavie Pirabaharan, Naimul Khan:
Interactive segmentation using U-Net with weight map and dynamic user interactions. CoRR abs/2111.09740 (2021) - [i19]Thong Vo, Naimul Khan:
Edge-preserving Domain Adaptation for semantic segmentation of Medical Images. CoRR abs/2111.09847 (2021) - 2020
- [j9]Nairouz Mrabah, Naimul Mefraz Khan, Riadh Ksantini, Zied Lachiri:
Deep clustering with a Dynamic Autoencoder: From reconstruction towards centroids construction. Neural Networks 130: 206-228 (2020) - [c32]Yasmeen Alhamdan, Saif Alabachi, Naimul Khan:
Extended Abstract: CoShopper - Leveraging Artificial Intelligence for an Enhanced Augmented Reality Grocery Shopping Experience. AIVR 2020: 337-338 - [c31]Bita Houshmand, Naimul Mefraz Khan:
Facial Expression Recognition Under Partial Occlusion from Virtual Reality Headsets based on Transfer Learning. BigMM 2020: 70-75 - [c30]Shreya Goyal, Naimul Khan, Chiranjoy Chattopadhyay, Gaurav Bhatnagar:
LayART: Generating indoor layout using ARCore Transformations. BigMM 2020: 272-276 - [c29]Syem Ishaque, Alice Rueda, Binh P. Nguyen, Naimul Mefraz Khan, Sridhar Krishnan:
Physiological Signal Analysis and Classification of Stress from Virtual Reality Video Game. EMBC 2020: 867-870 - [c28]Zeeshan Ahmad, Naimul Mefraz Khan:
Multi-level Stress Assessment Using Multi-domain Fusion of ECG Signal. EMBC 2020: 4518-4521 - [c27]Anika Tabassum, Naimul Mefraz Khan:
An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural Networks. ICHI 2020: 1-3 - [c26]Randy Tan, Naimul Mefraz Khan, Ling Guan:
Locality Guided Neural Networks for Explainable Artificial Intelligence. IJCNN 2020: 1-8 - [c25]Kai Liu, Lei Gao, Naimul Mefraz Khan, Lin Qi, Ling Guan:
A Vertex-Edge Graph Convolutional Network for Skeleton-Based Action Recognition. ISCAS 2020: 1-5 - [i18]Randy Tan, Naimul Mefraz Khan, Ling Guan:
Locality Guided Neural Networks for Explainable Artificial Intelligence. CoRR abs/2007.06131 (2020) - [i17]Zeeshan Ahmad, Naimul Mefraz Khan:
Multi-level Stress Assessment Using Multi-domain Fusion of ECG Signal. CoRR abs/2008.05503 (2020) - [i16]Bita Houshmand, Naimul Mefraz Khan:
Facial Expression Recognition Under Partial Occlusion from Virtual Reality Headsets based on Transfer Learning. CoRR abs/2008.05563 (2020) - [i15]Anika Tabassum, Naimul Mefraz Khan:
An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural Networks. CoRR abs/2008.05566 (2020) - [i14]Zeeshan Ahmad, Naimul Mefraz Khan:
Towards Improved Human Action Recognition Using Convolutional Neural Networks and Multimodal Fusion of Depth and Inertial Sensor Data. CoRR abs/2008.09747 (2020) - [i13]Zeeshan Ahmad, Naimul Mefraz Khan:
Multidomain Multimodal Fusion For Human Action Recognition Using Inertial Sensors. CoRR abs/2008.09748 (2020) - [i12]Gayathiri Murugamoorthy, Naimul Khan:
Interpreting Uncertainty in Model Predictions For COVID-19 Diagnosis. CoRR abs/2010.13271 (2020) - [i11]Zeeshan Ahmad, Naimul Mefraz Khan:
CNN based Multistage Gated Average Fusion (MGAF) for Human Action Recognition Using Depth and Inertial Sensors. CoRR abs/2010.16073 (2020) - [i10]Nicolas Ewen, Naimul Khan:
Targeted Self Supervision for Classification on a Small COVID-19 CT Scan Dataset. CoRR abs/2011.10188 (2020)
2010 – 2019
- 2019
- [j8]Naimul Mefraz Khan, Nabila Abraham, Marcia Hon:
Transfer Learning With Intelligent Training Data Selection for Prediction of Alzheimer's Disease. IEEE Access 7: 72726-72735 (2019) - [c24]Julian True, Naimul Khan:
Novel Segmentation Metrics for Use in Augmented Reality Advertisement Integration. BigMM 2019: 411-415 - [c23]Zeeshan Ahmad, Naimul Mefraz Khan:
Multidomain Multimodal Fusion for Human Action Recognition Using Inertial Sensors. BigMM 2019: 429-434 - [c22]Nabila Abraham, Naimul Mefraz Khan:
Multimodal Segmentation with MGF-Net and the Focal Tversky Loss Function. BrainLes@MICCAI (2) 2019: 191-198 - [c21]Julien Li-Chee-Ming, Zheng Wu, Randy Tan, Ryan Tan, Naimul Mefraz Khan, Andy Gean Ye, Ling Guan:
A Scene-Based Augmented Reality Framework for Exhibits. ICIAR (1) 2019: 287-296 - [c20]Nabila Abraham, Naimul Mefraz Khan:
A Novel Focal Tversky Loss Function With Improved Attention U-Net for Lesion Segmentation. ISBI 2019: 683-687 - [c19]Kai Liu, Lei Gao, Naimul Mefraz Khan, Lin Qi, Ling Guan:
Graph Convolutional Networks-Hidden Conditional Random Field Model for Skeleton-Based Action Recognition. ISM 2019: 25-31 - [c18]Naimul Mefraz Khan, Nabila Abraham, Marcia Hon, Ling Guan:
Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond. MIPR 2019: 85-90 - [i9]Nairouz Mrabah, Naimul Mefraz Khan, Riadh Ksantini:
Deep Clustering with a Dynamic Autoencoder. CoRR abs/1901.07752 (2019) - [i8]Naimul Mefraz Khan, Nabila Abraham, Ling Guan:
Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond. CoRR abs/1902.05908 (2019) - [i7]Naimul Mefraz Khan, Marcia Hon, Nabila Abraham:
Transfer Learning with intelligent training data selection for prediction of Alzheimer's Disease. CoRR abs/1906.01160 (2019) - [i6]Muhammad Rehman Zafar, Naimul Mefraz Khan:
DLIME: A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosis Systems. CoRR abs/1906.10263 (2019) - [i5]Zeeshan Ahmad, Naimul Mefraz Khan:
Human Action Recognition Using Deep Multilevel Multimodal (M2) Fusion of Depth and Inertial Sensors. CoRR abs/1910.11482 (2019) - 2018
- [j7]Naimul Mefraz Khan, Riadh Ksantini, Ling Guan:
A Novel Image-Centric Approach Toward Direct Volume Rendering. ACM Trans. Intell. Syst. Technol. 9(4): 42:1-42:18 (2018) - [c17]Ghazala Khan, Naimul Mefraz Khan:
Brain MRI Segmentation using efficient 3D Fully Convolutional Neural Networks. BIBM 2018: 2351-2356 - [c16]Zheng Wu, Naimul Mefraz Khan, Lei Gao, Ling Guan:
Deep Reinforcement Learning with Parameterized Action Space for Object Detection. ISM 2018: 101-104 - [c15]Zeeshan Ahmad, Naimul Mefraz Khan:
Towards Improved Human Action Recognition Using Convolutional Neural Networks and Multimodal Fusion of Depth and Inertial Sensor Data. ISM 2018: 223-230 - [i4]Nabila Abraham, Naimul Mefraz Khan:
A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation. CoRR abs/1810.07842 (2018) - 2017
- [c14]Marcia Hon, Naimul Mefraz Khan:
Towards Alzheimer's disease classification through transfer learning. BIBM 2017: 1166-1169 - [c13]Randy Tan, Naimul Mefraz Khan, Ling Guan:
Real-Time System for Human Activity Analysis. ISM 2017: 420-425 - [i3]Randy Tan, Naimul Mefraz Khan, Ling Guan:
Real-Time System for Human Activity Analysis. CoRR abs/1711.11115 (2017) - [i2]Marcia Hon, Naimul Mefraz Khan:
Towards Alzheimer's Disease Classification through Transfer Learning. CoRR abs/1711.11117 (2017) - [i1]Naimul Mefraz Khan, Riadh Ksantini, Ling Guan:
A Novel Image-centric Approach Towards Direct Volume Rendering. CoRR abs/1711.11123 (2017) - 2016
- [c12]Naimul Mefraz Khan, Xiaoming Nan, Nan Dong, Yifeng He, Matthew J. Kyan, Jennifer James, Ling Guan, Charles Davis:
Towards a shared large-area mixed reality system. ICME Workshops 2016: 1-6 - 2015
- [j6]Paisarn Muneesawang, Naimul Mefraz Khan, Matthew J. Kyan, Bruce Elder, Nan Dong, Guoyu Sun, Haiyan Li, Ling Zhong, Ling Guan:
A Machine Intelligence Approach to Virtual Ballet Training. IEEE Multim. 22(4): 80-92 (2015) - [j5]Naimul Mefraz Khan, Matthew J. Kyan, Ling Guan:
Intuitive volume exploration through spherical self-organizing map and color harmonization. Neurocomputing 147: 160-173 (2015) - [c11]Naimul Mefraz Khan, Xiaoming Nan, Azhar Quddus, Edward Rosales, Ling Guan:
On video based face recognition through adaptive sparse dictionary. FG 2015: 1-6 - 2014
- [j4]Naimul Mefraz Khan, Riadh Ksantini, Imran Shafiq Ahmad, Ling Guan:
Covariance-guided One-Class Support Vector Machine. Pattern Recognit. 47(6): 2165-2177 (2014) - [j3]Naimul Mefraz Khan, Riadh Ksantini, Imran Shafiq Ahmad, Ling Guan:
SN-SVM: a sparse nonparametric support vector machine classifier. Signal Image Video Process. 8(8): 1625-1637 (2014) - [c10]Naimul Mefraz Khan, Matthew J. Kyan, Ling Guan:
ImmerVol: An immersive volume visualization system. CIVEMSA 2014: 24-29 - [c9]Naimul Mefraz Khan, Riadh Ksantini, Ling Guan:
Volume visualization using sparse nonparametric support vector machines and harmoniccolors. ICASSP 2014: 6607-6611 - [c8]Naimul Mefraz Khan, Stephen Lin, Ling Guan, Baining Guo:
A Visual Evaluation Framework for In-Home Physical Rehabilitation. ISM 2014: 237-240 - 2013
- [c7]Naimul Mefraz Khan, Riadh Ksantini, Imran Shafiq Ahmad, Ling Guan:
Incorporating covariance information in one class support vector classification. ICASSP 2013: 3552-3556 - 2012
- [j2]Naimul Mefraz Khan, Riadh Ksantini, Imran Shafiq Ahmad, Boubakeur Boufama:
A novel SVM+NDA model for classification with an application to face recognition. Pattern Recognit. 45(1): 66-79 (2012) - [j1]Naimul Mefraz Khan, Imran Shafiq Ahmad:
An efficient signature representation for retrieval of spatially similar images. Signal Image Video Process. 6(1): 55-70 (2012) - [c6]Naimul Mefraz Khan, Riadh Ksantini, Imran Shafiq Ahmad, Ling Guan:
A Sparse Support Vector Machine Classifier with Nonparametric Discriminants. ICANN (2) 2012: 330-338 - [c5]Naimul Mefraz Khan, Matthew J. Kyan, Ling Guan:
Intuitive Volume Exploration through Spherical Self-Organizing Map. WSOM 2012: 75-84 - 2011
- [c4]Naimul Mefraz Khan, Kaamran Raahemifar:
A novel Accelerated Greedy Snake Algorithm for active contours. CCECE 2011: 186-190 - 2010
- [c3]Riadh Ksantini, Boubakeur Boufama, Imran Shafiq Ahmad, Naimul Mefraz Khan:
A new combined KSVM and KFD model for classification and recognition. ICDIM 2010: 188-193 - [c2]Naimul Mefraz Khan, Riadh Ksantini, Imran Shafiq Ahmad, Boubakeur Boufama:
A New SVM + NDA Model for Improved Classification and Recognition. ICIAR (1) 2010: 127-136
2000 – 2009
- 2009
- [c1]Naimul Mefraz Khan, Imran Shafiq Ahmad:
A new signature for quadtree-based image matching. MoMM 2009: 20-27
Coauthor Index
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