Presentations & Posters

Posters by current students:

SEAS Research Day by Sahibzadi Nashwa Farrukh Khan

Presentations by current students:

Presentations by current students:

Provenzano, D, Loew, M., S., Haji-Momenian, (2022). Exploring the Explainability of Machine Learning Algorithms for Prostate Cancer. Speaker Presented in 2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR). 2022.

Provenzano D, Melnyk O, Whalen M, Loew M, Haji-Momenian S. Performance of a highly accurate prostate cancer machine learning algorithm on MR image data from a different institution: do the results hold up? ARRS. Presented May 2022.

Provenzano, D., Rao, Y. J., Goyal, S., Haji-Momenian, S., Lichtenberger, J., & Loew, M. (2021). Radiologist vs Machine Learning: A Comparison of Performance in Cancer Imaging. Speaker Presented in 2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR). 2021. Remote

Provenzano D, Aghdam H, Rao Y, Cifter G, Goyal S, Loew M, Rao Y. 3D-Printing in Radiation Oncology: Development and Validation of Custom 3D-Printed Brachytherapy Alignment Device and Phantom. Speaker Presentation at ABS. June 2021. Remote.

Posters by past students:

2020 ASTRO Annual Meeting:

Adverse Events of After-loading High Dose Rate Brachytherapy Reported to the United States Food and Drug Administration (FDA)

GW Research Days 2019:

Patient-based Classification of Clear Cell Renal Cell Carcinoma through Computed Tomography Texture Analysis

Automatic Detection of Simulated Motion Blur in Digital Mammograms

Tumor heterogeneity and gene mutation: A combined study for analysis of radiation therapy efficacy in head-and-neck carcinoma patients

Can a Convolutional Neural Network implement histogram equalization in image analysis?

Snakes Versus ConnectPixels: Segmentation of IR Images for Breast Cancer Detection

SPIE Medical Imaging Conference 2019:

Using Generative Adversarial Networks and Transfer Learning for Breast Cancer Detection by Convolutional Neural Networks

47th Annual IEEE AIPR 2018 Workshop:

Segmentation of Thermal Breast Images Using Convolutionaland Deconvolutional Neural Networks

BMES 50th Annual Conference 2018:

Tumor heterogeneity and gene mutation: A combined study for analysis of radiation therapy efficacy in head-and-neck carcinoma patients

Cluster Analysis in Thermal Imaging to Aid the Diagnosis of Breast Cancer

Snakes Versus ConnectPixels: Segmentation of IR Images for Breast Cancer Detection

GW Research Days 2018:

Effectiveness of Radiation Therapy for the Treatment of Head and Neck Squamous Cell Carcinoma

Breast Cancer Detection Using Transfer Learning in Convolutional Neural Networks

Cluster and Quadrant Analysis for Thermographic Breast Cancer Detection

Automated Segmentation Algorithm for Thermal Breast Images

Reproducibility of Quantitative Image Texture Features in Identifying Tumor Regions in Thermal Breast Images

SEAS Research & Design Showcase 2018:

Effectiveness of Radiation Therapy for the Treatment of Head and Neck Squamous Cell Carcinoma

Breast Cancer Detection Using Transfer Learning in Convolutional Neural Networks

Cluster and Quadrant Analysis for Thermographic Breast Cancer Detection

Automated Segmentation Algorithm for Thermal Breast Images

Reproducibility of Quantitative Image Texture Features in Identifying Tumor Regions in Thermal Breast Images

BMES 2017:

Cluster and Quadrant Analysis for Thermographic Breast Cancer Detection

Automated Segmentation Algorithm for Thermal Breast Images

BMES Conference 2016 and SEAS Research & Design Showcase 2017:

Breast Cancer Detection by an Infrared Imager: Evaluation the Thermal Resolution

Feature-Based Salience Detection

Lesion Detection for Cardiac Ablation from Auto-fluorescence Hyperspectral Images

An Interactive Segmentation Method For Thermal Breast Images

Other projects:

Modeling Thermography of the Tumorous Human Breast: From Forward Problem to Inverse Problem Solving

Automated Breast Cancer Detection and Interface Development

Salience measurement for Mammograms and Temporal Sequence Medical Video Clips

Dynamic Thermal Modeling of the Normal and Tumorous Breast Under Elastic Deformation

Breast Caner Thermography: A Literature Review

Progress Toward System-independent Image Analysis: An Example from Texture Analysis in Optical Coherence Tomography

Automatic Registration and Mosaicking of Conservation Images

Surface Thermal Pattern Analysis and its Relationship with Breast Cancer: An Infrared Imaging Approach

Other Resources:

Introduction to the High Performance Computing in GW