Faculty profile
Mrinal Mandal
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Research
Latest papers
Frequency-Guided Cross-Modal Interaction for Multimodal Yeast Classification Based on Light-Scattering and Microscopy Images.
Journal of imaging · 2026 · senior author
Machine Learning-Assisted Classification of Pathogenic Yeasts Using Laser Light Scattering and Conventional Microscopy.
Journal of imaging · 2026
Deep Learning-Based Nuclei Segmentation and Melanoma Detection in Skin Histopathological Image Using Test Image Augmentation and Ensemble Model.
Journal of imaging · 2025 · senior author
Latest funding
- $168,000
Image Analysis and Machine Learning Techniques for Computer-aided Diagnosis
NSERC · 2020 · Principal investigator
- $25,000
Utilizing image analysis to identify path in closed structures
NSERC · 2019 · Principal investigator
- $125,000
Development of Novel Computer-aided Diagnosis Systems
NSERC · 2014 · Principal investigator
23 publications.
Frequency-Guided Cross-Modal Interaction for Multimodal Yeast Classification Based on Light-Scattering and Microscopy Images.
Cheng Z, Liu X, Shankarnarayan S, Gupta M, Rozmus W, Tsui YY, Charlebois DA, Mandal M
Machine Learning-Assisted Classification of Pathogenic Yeasts Using Laser Light Scattering and Conventional Microscopy.
Liu X, Shankarnarayan S, Cheng Z, Gupta M, Rozmus W, Mandal M, Charlebois DA, Tsui YY
Deep Learning-Based Nuclei Segmentation and Melanoma Detection in Skin Histopathological Image Using Test Image Augmentation and Ensemble Model.
Akbarpour M, Fazlollahiaghamalek H, Barati M, Hashemi Kamangar M, Mandal M
Multi-wavelength multi-direction laser light scattering for cell characterization using machine learning-based methods.
Liu L, Islam MZ, Liu X, Gupta M, Rozmus W, Mandal M, Tsui YY
Detection of malignant melanoma in H&E-stained images using deep learning techniques.
Alheejawi S, Berendt R, Jha N, Maity SP, Mandal M
An unsupervised method for histological image segmentation based on tissue cluster level graph cut.
Xu H, Liu L, Lei X, Mandal M, Lu C
Integration of light scattering with machine learning for label free cell detection.
Yu Wan W, Liu L, Liu X, Wang W, Zahurul Islam M, Dong C, Garen CR, Woodside MT, Gupta M, Mandal M, Rozmus W, Yin Tsui Y
Skin Lesion Segmentation Using Deep Learning with Auxiliary Task.
Liu L, Tsui YY, Mandal M
Automated proliferation index calculation for skin melanoma biopsy images using machine learning.
Alheejawi S, Berendt R, Jha N, Maity SP, Mandal M
Automatic skin lesion classification based on mid-level feature learning.
Liu L, Mou L, Zhu XX, Mandal M
Image Analysis and Machine Learning Techniques for Computer-aided Diagnosis
Principal investigators: Mandal, Mrinal
Keywords: medical image analysis; computer-aided diagnosis; digital pathology; mri image analysis; deep learning networks; hardware architecture
Utilizing image analysis to identify path in closed structures
Principal investigators: Mandal, Mrinal
Development of Novel Computer-aided Diagnosis Systems
Principal investigators: Mandal, Mrinal
Interaction with MetaOptima for exploring skin cancer diagnosis device development
Principal investigators: Mandal, Mrinal
Intelligent image analysis for multimedia and medical applications
Principal investigators: Mandal, Mrinal
Infrastructure for multimedia computing and communication laboratory
Principal investigators: Mandal, Mrinal
Novel visual compression, indexing and transmission techniques
Principal investigators: Mandal, Mrinal
Novel techniques for visual data compression, retrieval and transmission
Principal investigators: Mandal, Mrinal
Infrastructure for visual data compression, retrieval and transmission
Principal investigators: Mandal, Mrinal
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
- Mrinal Mandal and Manisha Gupta: 4 shared papers
- Richard Long and Mrinal Mandal: 1 shared paper
- Electrical and Computer Engineering
- Medicine
Co-authors at University of Alberta, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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