A5101699813- Endometrial and Cervical Cancer Treatments
- MRI in cancer diagnosis
- Advanced Radiotherapy Techniques
- Radiomics and Machine Learning in Medical Imaging
- Management of metastatic bone disease
- Ovarian cancer diagnosis and treatment
- Medical Imaging Techniques and Applications
- Cervical Cancer and HPV Research
- Hepatocellular Carcinoma Treatment and Prognosis
- Glioma Diagnosis and Treatment
- Consumer Market Behavior and Pricing
- Radiation Therapy and Dosimetry
- Multimodal Machine Learning Applications
- Lung Cancer Diagnosis and Treatment
- Sarcoma Diagnosis and Treatment
- Advanced Bandit Algorithms Research
- Advanced MRI Techniques and Applications
- Biomedical Text Mining and Ontologies
- AI in cancer detection
- Breast Cancer Treatment Studies
- Medical Imaging and Analysis
- Endometriosis Research and Treatment
- Breast Lesions and Carcinomas
- Cancer survivorship and care
- Recommender Systems and Techniques
University of Calgary
2024
Princess Margaret Cancer Centre
2013-2022
University Health Network
2012-2022
University of Washington
2022
North Central State College
2021
Adobe Systems (United States)
2020
University of Toronto
2008-2018
University of Michigan
2014
Liverpool Hospital
2012
RaySearch Laboratories (Sweden)
2012
Purpose: Intensity modulated radiation therapy (IMRT) allows greater control over dose distribution, which leads to a decrease in related toxicity. IMRT, however, requires precise and accurate delineation of the organs at risk target volumes. Manual is tedious suffers from both interobserver intraobserver variability. State art auto‐segmentation methods are either atlas‐based, model‐based or hybrid robust fully automated segmentation often difficult due insufficient discriminative...
To investigate whether volumetrically derived apparent diffusion coefficient (ADC) from pretreatment diffusion-weighted (DW) magnetic resonance (MR) imaging is associated with disease recurrence in women locally advanced cervical cancer treated chemotherapy and radiation therapy.An ethics board-approved, retrospective study was conducted 85 stage IB-IVA chemo- therapy 2009-2013. All patients underwent MR for staging, including T2-weighted DW series, by using a 1.5- or 3.0-T imager. The mean,...
<title>Abstract</title> In the context of breast cancer management, accurate determination pathologic complete response (pCR) from large narrative pathology reports is pivotal for outcome and survivorship studies. Leveraging Large Language Models (LLMs) in digital pathology, our study developed validated methods identifying pCR 351 patients who underwent neoadjuvant chemotherapy. The optimum method demonstrated a sensitivity 100.0% (95%CI: 100.0-100.0%), positive predictive value 84.0%...
Improving prosthetic hand functionality is critical in reducing abandonment rates and improving the amputee's quality of life. Techniques such as joint force estimation gesture recognition using myoelectric signals could enable more realistic control hand. To accelerate translation these advanced strategies from lab to clinic, We created a virtual environment that enables rich user interactions dexterity evaluation. The made two parts, namely Unity scene for rendering interaction, Python...
Objective The principal aim of this study was to create a segmentation program, be used by nonmusculoskeletal or junior fellows, that defines the bones in metacarpophalangeal joint dynamic 3-dimensional image will lead higher inter-reader agreement bone erosion scores. Methods second fifth metacarpal head and phalangeal bases 15 participants were rated according Rheumatoid Arthritis Magnetic Resonance Imaging Scoring system one trained untrained reader. Two comparisons made. first comparison...