Ervin Sejdić
Professor
Develops AI and signal processing for health outcomes, such as swallowing and gait assessment.
Ervin Sejdić's lab at Toronto works on medical imaging & healthcare AI, signal processing & information theory and speech enhancement & signal processing. 31 papers since 2023, mostly Expert Systems with Applications and npj Digit. Medicine. 7 PhD students and 1 master's student. 41 alumni. Applications close .
At a glance
- papers, 2023–2026
- 8/ year
- at T1 venues
- 0%
- PhD students
- 7
- MS students
- 1
- alumni listed
- 41
Papers by yearfrom the lab homepage and DBLP, 2023–2026
- 2 papers2026 · T1 0 · collecting
- 10 papers2025 · T1 0
- 7 papers2024 · T1 0
- 12 papers2023 · T1 0
T1 venuesOtherVenues: Expert Systems with Applications, npj Digit. Medicine
Research focuspaper titles that use each topic's words
- gait3 papers
- Medical imaging & healthcare AI1 paper
- Signal processing & information theory1 paper
- Speech enhancement & signal processing1 paper
- outcomes0 papers
Paper list
From the lab homepage and DBLP.
20262 papers
202510 papers
- IEEE Trans. Biomed. Eng.ECG-SMART-NET: A Deep Learning Architecture for Precise ECG Diagnosis of Occlusion Myocardial Infarction (opens in a new tab)
- Comput. Biol. MedicineGlobal vs. segmental acoustic features for dysarthria assessment in motor neuron diseases (opens in a new tab)
- npj Digit. MedicineHigh performance with fewer labels using semi-weakly supervised learning for pulmonary embolism diagnosis (opens in a new tab)
- J. Imaging Inform. MedicineLeveraging Ensemble on Self-Supervised Techniques to Enhance Model Performance: A Regime Analysis (opens in a new tab)
- Expert Systems with ApplicationsNatural language processing methods for assessing social determinants of health in the electronic health records: A narrative review (opens in a new tab)
- Comput. Biol. MedicineNon-invasive integrated swallowing kinematic analysis framework leveraging transformer-based multi-task neural networks (opens in a new tab)
- J. Heal. Informatics Res.Novel Videographic-Free Framework for Tracking Anatomical Structures Using Swallowing Accelerometer Signals and Multi-task Transformers (opens in a new tab)
- Comput. Methods Programs Biomed.Recent advancements and future directions in automatic swallowing analysis via videofluoroscopy: A review (opens in a new tab)
- Inf. FusionTransformers in biosignal analysis: A review (opens in a new tab)
- J. ImagingUnsupervised Segmentation of Bolus and Residue in Videofluoroscopy Swallowing Studies (opens in a new tab)
20247 papers
- IEEE Trans. Biomed. Eng.Association of Gait Quality With Daily-Life Mobility: An Actigraphy and Global Positioning System Based Analysis in Older Adults (opens in a new tab)
- J. Imaging Inform. MedicineAutomatic Tracking of Hyoid Bone Displacement and Rotation Relative to Cervical Vertebrae in Videofluoroscopic Swallow Studies Using Deep Learning (opens in a new tab)
- J. Real Time Image Process.Deep learning models for bolus segmentation in videofluoroscopic swallow studies (opens in a new tab)
- Comput. Methods Programs Biomed.Fear of falling in community-dwelling older adults: What their gait acceleration pattern reveals (opens in a new tab)
- EMBCSwallowing Assessment using High-Resolution Cervical Auscultations and Transformer-based Neural Networks (opens in a new tab)
- Artif. Intell. MedicineTowards a comprehensive bedside swallow screening protocol using cross-domain transformation and high-resolution cervical auscultation (opens in a new tab)
- EMBCTowards Non-Invasive Swallowing Assessment: an AI-Powered Interface for Swallowing Kinematic Analysis using High-Resolution Cervical Auscultation (opens in a new tab)
202312 papers
- IEEE Trans. Neural Networks Learn. Syst.A review of recurrent neural network-based methods in computational physiology (opens in a new tab)
- Circuits Syst. Signal Process.A Step Toward Real-Time Time-Frequency Analyses with Varying Time-Frequency Resolutions: Hardware Implementation of an Adaptive S-transform (opens in a new tab)
- —A step towards real-time time-frequency analyses with varying time-frequency resolutions: Hardware implementation of an adaptive S-transform
- —Accelerometry to assess balance: A narrative review of methodologies and applications
- IEEE J. Biomed. Health InformaticsAutonomous swallow segment extraction using deep learning in neck-sensor vibratory signals from patients with dysphagia (opens in a new tab)
- SensorsCorrection: Bohlke et al. The Effect of a Verbal Cognitive Task on Postural Sway Does Not Persist When the Task Is Over. Sensors 2021, 21, 8428 (opens in a new tab)
- —Exercise intervention, postural control, and prefrontal cortex activation in older adults
- —Incorporation of serial 12-Lead ECG with machine learning to augment the prehospital diagnosis of non-ST elevation acute coronary syndrome
- 1804-1813, JulyMachine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction
- —Non-invasive sensor-based estimation of anterior-posterior upper esophageal sphincter opening maximal distension
- —Temporal sequence of laryngeal vestibule closure and reopening is associated with airway protection
- —Uneven surface and cognitive dual-task independently affect gait quality in older adults
Where alumni went41 listed
Apply to TorontoFall 2027
Computer Science MSc/PhD
- Round
- Single round (Dec 1)
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS if applicable
- Fee
- CAD 135
Confirmed on the program page.
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