This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Guelph directory, so their courses may be missing. Find their university profile.
Research
Latest papers
Automated extraction of the plane of minimal hiatal dimensions and mid-sagittal plane from 3D transperineal ultrasound.
Medical physics · 2026 · senior author
A novel federated learning framework for medical imaging: Resource-efficient approach combining PCA with early stopping.
Medical physics · 2025 · senior author
Magnetic resonance imaging-based radiation treatment plans for dogs may be feasible with the use of generative adversarial networks.
American journal of veterinary research · 2025 · senior author
Latest funding
- $100,000
Development of Artificial Intelligence-based algorithms for Computer-Aided Diagnosis and Prognosis of Cancer
NSERC · 2023 · Principal investigator
- $114,000
Machine learning-based quality control of canine thoracic radiographs
NSERC · 2020 · Co-investigator
- $252,000
Development of Image Analysis Algorithms for Computational Assessment of Cardiac Structure and Function
NSERC · 2016 · Principal investigator
24 publications.
Automated extraction of the plane of minimal hiatal dimensions and mid-sagittal plane from 3D transperineal ultrasound.
Szentimrey Z, Ameri G, Hong CX, Cheung RYK, Eltahawi A, Ukwatta E
A novel federated learning framework for medical imaging: Resource-efficient approach combining PCA with early stopping.
Nanekaran NP, Ukwatta E
Magnetic resonance imaging-based radiation treatment plans for dogs may be feasible with the use of generative adversarial networks.
Billings N, Appleby R, Komeili A, Poirier V, Pinard C, Ukwatta E
Semi-supervised learning framework with shape encoding for neonatal ventricular segmentation from 3D ultrasound.
Szentimrey Z, Al-Hayali A, de Ribaupierre S, Fenster A, Ukwatta E
Pulmonary nodule detection in low dose computed tomography using a medical-to-medical transfer learning approach.
Manokaran J, Mittal R, Ukwatta E
Multiresolution semantic segmentation of biological structures in digital histopathology.
Salsabili S, Chan ADC, Ukwatta E
Machine learning based prediction of image quality in prostate MRI using rapid localizer images.
Al-Hayali A, Komeili A, Azad A, Sathiadoss P, Schieda N, Ukwatta E
Automated detection of microscopic placental features indicative of maternal vascular malperfusion using machine learning.
Patnaik P, Khodaee A, Vasam G, Mukherjee A, Salsabili S, Ukwatta E, Grynspan D, Chan ADC, Bainbridge S
Automated segmentation and measurement of the female pelvic floor from the mid-sagittal plane of 3D ultrasound volumes.
Szentimrey Z, Ameri G, Hong CX, Cheung RYK, Ukwatta E, Eltahawi A
Machine learning can appropriately classify the collimation of ventrodorsal and dorsoventral thoracic radiographic images of dogs and cats.
Tahghighi P, Appleby RB, Norena N, Ukwatta E, Komeili A
Development of Artificial Intelligence-based algorithms for Computer-Aided Diagnosis and Prognosis of Cancer
Principal investigators: Ukwatta, Eranga
Keywords: medical image analysis; image segmentation; computer-aided diagnosis; image processing; medical imaging; machine learning; artificial intelligence; semi-supervised learning; federated learning; abnormality detection
Machine learning-based quality control of canine thoracic radiographs
Principal investigators: Komeili, Amin
Development of Image Analysis Algorithms for Computational Assessment of Cardiac Structure and Function
Principal investigators: Ukwatta, Eranga
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- David Birnie and Pablo Nery: 14 shared papers
- Aaron Fenster and Sandrine De Ribaupierre: 10 shared papers
- Nicola Schieda and Eranga Ukwatta: 6 shared papers
- Amin Komeili and Eranga Ukwatta: 3 shared papers
- Aaron Fenster and Eranga Ukwatta: 2 shared papers
- Sandrine De Ribaupierre and Eranga Ukwatta: 2 shared papers
- Mohamed Elfaal and Nicola Schieda: 1 shared paper
- Mohamed Elfaal and Eranga Ukwatta: 1 shared paper
- Shannon Bainbridge and David Grynspan: 1 shared paper
- Shannon Bainbridge and Eranga Ukwatta: 1 shared paper
- David Birnie and Andy Adler: 1 shared paper
- David Birnie and Eranga Ukwatta: 1 shared paper
- Pablo Nery and Andy Adler: 1 shared paper
- Pablo Nery and Eranga Ukwatta: 1 shared paper
- David Grynspan and Eranga Ukwatta: 1 shared paper
- Mamatha Bhat and Eranga Ukwatta: 1 shared paper
- Andrew Hamilton-Wright and Eranga Ukwatta: 1 shared paper
- Nicola Schieda and Amin Komeili: 1 shared paper
- Andy Adler and Eranga Ukwatta: 1 shared paper
- Department of Medicine
- Engineering, School of
- Radiology
- Biomedical Engineering
- John P. Robarts Research Institute
- Systems and Computer Engineering
- Nutritional Sciences
- Other
Co-authors at University of Guelph, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Nicola Schieda
Radiology
6 shared papers, latest 2024
Amin Komeili
Biomedical Engineering
3 shared papers, latest 2025
Aaron Fenster
John P. Robarts Research Institute
2 shared papers, latest 2024
Sandrine De Ribaupierre
Faculty
2 shared papers, latest 2024
Mohamed Elfaal
Medical Imaging
1 shared papers, latest 2022
Mamatha Bhat
Transplant Program
1 shared papers, latest 2023
Andrew Hamilton-Wright
Faculty
1 shared papers, latest 2021
Andy Adler
Systems and Computer Engineering
1 shared papers, latest 2019
David Grynspan
Nutritional Sciences
1 shared papers, latest 2024
Shannon Bainbridge
Interdisciplinary Health Sciences
1 shared papers, latest 2024
David Birnie
Department of Medicine
1 shared papers, latest 2019
Pablo Nery
Department of Medicine
1 shared papers, latest 2019
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