Taufiq Hasan
Orcid: 0000-0002-6142-3344
According to our database1,
Taufiq Hasan
authored at least 54 papers
between 2007 and 2024.
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Bibliography
2024
Learning to Generalize Towards Unseen Domains via a Content-Aware Style Invariant Model for Disease Detection From Chest X-Rays.
IEEE J. Biomed. Health Informatics, June, 2024
BUET Multi-disease Heart Sound Dataset: A Comprehensive Auscultation Dataset for Developing Computer-Aided Diagnostic Systems.
CoRR, 2024
A web-based mpox skin lesion detection system using state-of-the-art deep learning models considering racial diversity.
Biomed. Signal Process. Control., 2024
BT-Net: An end-to-end multi-task architecture for brain tumor classification, segmentation, and localization from MRI images.
Array, 2024
ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classification.
IEEE Access, 2024
Improving Pediatric Pneumonia Diagnosis with Adult Chest X-ray Images Utilizing Contrastive Learning and Embedding Similarity.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
2023
COVID-19 Severity Prediction from Chest X-ray Images Using an Anatomy-Aware Deep Learning Model.
J. Imaging Inform. Medicine, 2023
Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Framework for Disease Detection from Chest X-rays.
CoRR, 2023
An End-to-End Deep Learning Framework for Real-Time Denoising of Heart Sounds for Cardiac Disease Detection in Unseen Noise.
IEEE Access, 2023
2022
Anatomy-XNet: An Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification in Chest X-Rays.
IEEE J. Biomed. Health Informatics, 2022
CoRR, 2022
A Novel Attention Mechanism Using Anatomical Prior Probability Maps for Thoracic Disease Classification from X-Ray Images.
CoRR, 2022
CoRR, 2022
Hilbert-envelope features for cardiac disease classification from noisy phonocardiograms.
Biomed. Signal Process. Control., 2022
Cardiac anomaly detection considering an additive noise and convolutional distortion model of heart sound recordings.
Artif. Intell. Medicine, 2022
2021
A Lightweight CNN Model for Detecting Respiratory Diseases From Lung Auscultation Sounds Using EMD-CWT-Based Hybrid Scalogram.
IEEE J. Biomed. Health Informatics, 2021
Anatomy X-Net: A Semi-Supervised Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification.
CoRR, 2021
CoRR, 2021
2020
Towards Domain Invariant Heart Sound Abnormality Detection Using Learnable Filterbanks.
IEEE J. Biomed. Health Informatics, 2020
Respiratory Distress Detection from Telephone Speech using Acoustic and Prosodic Features.
CoRR, 2020
SegCodeNet: Color-Coded Segmentation Masks for Activity Detection from Wearable Cameras.
CoRR, 2020
2019
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
2018
An Ensemble of Transfer, Semi-supervised and Supervised Learning Methods for Pathological Heart Sound Classification.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
Learning Front-end Filter-bank Parameters using Convolutional Neural Networks for Abnormal Heart Sound Detection.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Acoustic Scene Classification Using a CNN-SuperVector System Trained with Auditory and Spectrogram Image Features.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017
2016
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016
Automatic composition of broadcast news summaries using rank classifiers trained with acoustic and lexical features.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
IEEE Signal Process. Mag., 2015
Automatic broadcast news summarization via rank classifiers and crowdsourced annotation.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
2014
Maximum Likelihood Acoustic Factor Analysis Models for Robust Speaker Verification in Noise.
IEEE ACM Trans. Audio Speech Lang. Process., 2014
2013
IEEE Trans. Speech Audio Process., 2013
Multi-modal highlight generation for sports videos using an information-theoretic excitability measure.
EURASIP J. Adv. Signal Process., 2013
Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013
Acoustic factor analysis based universal background model for robust speaker verification in noise.
Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
Factor analysis of acoustic features using a mixture of probabilistic principal component analyzers for robust speaker verification.
Proceedings of the Odyssey 2012: The Speaker and Language Recognition Workshop, 2012
Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012
Integrated Feature Normalization and Enhancement for robust Speaker Recognition using Acoustic Factor Analysis.
Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012
Front-end Channel Compensation using Mixture-dependent Feature Transformations for i-Vector Speaker Recognition.
Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012
Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012
A multi-modal highlight extraction scheme for sports videos using an information-theoretic excitability measure.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
IEEE Trans. Speech Audio Process., 2011
Robust Speaker Recognition in Non-Stationary Room Environments Based on Empirical Mode Decomposition.
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011
2010
Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010
A novel feature sub-sampling method for efficient universal background model training in speaker verification.
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
Suppression of Residual Noise From Speech Signals Using Empirical Mode Decomposition.
IEEE Signal Process. Lett., 2009
2007
A two stage speech enhancement method for further improvement of speech quality by extracting signal from residual.
Proceedings of the 9th International Symposium on Signal Processing and Its Applications, 2007
A probabilistic speech enhancement filter utilizing the constructive and destructive interference of noise.
Proceedings of the 15th European Signal Processing Conference, 2007