CV
Tahseen Minhaz
Summary
Currently employed at Philips. Data Scientist
Education
- Ph.D in Biomedical Engineering2024Case Western Reserve University
- M.S. in Electrical Enngineering2018Bangladesh University of Engineering and Technology
- B.S. in Electrical Enngineering2016Bangladesh University of Engineering and Technology
Work Experience
- Postdoctoral Research Fellow-Cleveland Clinic
- Developing AI-based models for image segmentation, enhancement, and radiomics analysis in musculoskeletal and neuroimaging applications.
- Implementing advanced quantitative imaging and deep learning techniques to improve diagnostic accuracy and patient care.
- Collaborating with multidisciplinary teams to integrate AI-driven image quality improvement algorithms into clinical workflows
- Managing and analyzing large-scale medical imaging datasets to ensure high-quality data governance and compliance with HIPAA/FDA guidelines.
- Supervisor: Dr. Xiaojuan Li, Dr. Nukio Nakamura
- Research Assistant-Case Western Reserve University
- Led development, installation, calibration, quality assessment of novel 3D ultrasound imaging system for improved eye disease diagnosis, treatment planning, and assessment.
- Designed image preprocessing, annotation, and storage solutions for large imaging datasets.
- Developed novel image enhancement approach using GAN for real-time clinical applications in 3D medical imaging.
- Developed robust image segmentation technique for ciliary body assessment, enabling new clinical applications.
- Developed whole eye imaging and analysis of intraocular foreign body using CT and 3D ultrasound
- Developed end-to-end deep neural network approach for tuning-free non-contrast ultrasound micro-vascular imaging.
- Supervisor: Dr. David L. Wilson
- Machine Learning Engineer-Semion Inc.
- Developed and deployed custom machine learning models for computer vision and NLP algorithms for Chest X-ray screening, resulting in improved performance and efficiency.
- Collaborated with multi-disciplinary product development teams in fast paced start-up setting to identify performance improvement opportunities and integrate trained models.
- Built cloud-based AI infrastructure for large-scale medical image processing
Publications
- Clinical 3D imaging of the anterior segment with ultrasound biomicroscopy2021Translational Vision Science & TechnologyThree-dimensional UBM (3D-UBM) imaging of the anterior segment can be used to enable unique visualization and quantification of anterior segment structures.
- Deep Learning Segmentation, Visualization, and Automated 3D Assessment of Ciliary Body in 3D Ultrasound Biomicroscopy Images2022Translational Vision Science & TechnologyThis paper aimed to develop a fully automated deep learning ciliary body segmentation and assessment approach in three-dimensional ultrasound biomicroscopy (3D-UBM) images.
- End-to-end deep learning for tuning-free non-contrast ultrasound microvessel imaging20222022 IEEE International Ultrasonics Symposium (IUS)This paper presents a deep learning-based method using a 2D U-Net to accelerate and generalize microvessel imaging from non-contrast ultrasound by removing tissue clutter more efficiently than traditional SVD approaches.
- Assessment of intraocular foreign body using high resolution 3D ultrasound imaging2024Scientific ReportsThis paper proposed a novel whole-eye 3D ophthalmic ultrasound B-scan (3D-UBS) system for automating image acquisition and improved 3D visualization for detecting intraocular foreign bodies.
- Improved biometric quantification in 3D ultrasound biomicroscopy via generative adversarial networks-based image enhancement2025Journal of Imaging Informatics in MedicineThis paper addressed the limitations of inexpensive, high-frequency ultrasound biomicroscopy (UBM) systems in visualizing small ocular structures and anatomical landmarks, especially outside the focal area, by improving image quality and visibility of important ocular structures for clinical ophthalmology applications.
Presentations
- Talk 1 on Relevant Topic in Your Field2012UC San Francisco, Department of TestingSan Francisco, CA, USA
- Tutorial 1 on Relevant Topic in Your Field2013UC-Berkeley Institute for Testing ScienceBerkeley, CA, USA
- Talk 2 on Relevant Topic in Your Field2014London School of TestingLondon, UK
- Conference Proceeding talk 3 on Relevant Topic in Your Field2014Testing Institute of America 2014 Annual ConferenceLos Angeles, CA, USA
Teaching
- Teaching experience 12014University 1, DepartmentRole: Undergraduate course
- Teaching experience 22015University 1, DepartmentRole: Workshop
Portfolio
- Portfolio item number 1
