Student wins the MIPS XVIII Student Scholar Award

Our master’s student, Nada Kamona, was awarded the Medical Imaging Perception Society (MIPS) XVIII student scholar award to attend the conference on July 14th-17th at Salt Lake City, Utah. Nada will be presenting her thesis project in a 20-minutes oral talk on automatic detection approaches for simulated motion blur in mammograms. The award will help cover travel and registration expenses.

The Medical Image Perception Conference is a biennial conference dedicated to bringing together people interested in human and computer perception of medical image information and related subjects such as, detection and discrimination of abnormalities, cognitive and psychophysical processes, perception errors, and search patterns. This year it will be hosted by the University of Utah.

For more information about the conference, click here.

New Venture Competition Winners (2019)

SEAS congratulates the SEAS student finalists in GW’s 2019 New Venture Competition (NVC). Our student Sydney Bailes, along with her team, Caitlyn Pratt (SEAS ’21), and Solomon Abrams (GWSB ’19), won the Runner Up Prize ($5,000) for Takin’ it Easy. Takin’ it Easy is a user-friendly, cost-effective automated pill dispenser providing medical safety and autonomy for users and families.

GW Research Days 2019

Our students have presented a variety of projects at GW Research Days on April 9th. GW Research Days is an annual event held at the George Washington University, where graduate and undergraduate students from all schools present their research and projects.

From our graduate students, Kristina Landino presented on silence in videos, Nada Kamona presented on automatic detection of blur in mammograms, and Ange Lou presented on IR image segmentation with U-nets. Shuyue Guan presented his work on image histogram equalization with convolution neural networks, Apurva Singh presented on the effectiveness of radiation therapy for the treatment of head and neck squamous cell carcinoma, and Zixian Lin presented on classification of renal cell carcinoma using texture feature analysis.

From our undergraduate students, Samhita, Jill and Emillie presented their work on automatic segmentation methods for IR breast images, while Sydney Bailes presented on cluster analysis of thermal images to aid in the diagnosis of breast cancer.

Finally, our two high school students, Sam Lossef and Nicholas Steele, showcased their project on multispectri RTI, an innovative imaging tool for art conservation. 

We congratulate everyone for their participation and hard work!

Check our students’ projects here and the photo gallery here. For more information on GW Research Days, click here.

Student Presents at BMES FDA Frontiers in Medical Devices Conference

The BMES FDA Frontiers in Medical Devices Conference was held from March 19-21 in College Park, MD, in collaboration between the FDA and the Biomedical Engineering Society. Our second year master’s student, Apurva Singh, presented her project in an oral presentation, ” A Novel imaging- genomic approach to predict the outcomes of radiation therapy in head-and-neck carcinoma”. It describes a portion of her thesis work related to developing a prediction system based on the image-genome analysis of pre-treatment PET images.
Here is what Apurva shared about her experience: “The conference was a great learning experience as i got the opportunity of interacting with various professionals from imaging device companies like Boston Scientific and with FDA professionals who spoke very informatively about regulation rules and quality testing of products. I also won the student travel award which helped me with my conference-related expenditures”. 

Student’s Poster Wins an Award at 2019 SPIE Medical Imaging Conference

Our two students, Shuyue (Frank) Guan and Nada Kamona, along with Professor Loew attended SPIE Medical Imaging Conference last week in San Diego, California (Feb 16th – Feb 21st). The conference is the host for leading researchers in image processing, physics, computer-aided diagnosis, perception, image-guided procedures, biomedical applications, ultrasound, informatics, radiology and digital pathology, along with a focus on fast emerging areas like deep learning, AI, and machine learning. Over 1,200 people attend this highly regarded conference on the latest medical imaging advances covered in over 1,000 presentations (for more information check here).

Frank presented his poster on using Generative Adversarial Networks and Transfer Learning for breast cancer detection by convolutional neural networks, winning the Honorable Mention Award for the Medical Imaging Conference. Nada presented an oral presentation for her summer internship project with the FDA, where she discussed her work on the reproducibility of CT-based texture feature quantification of simulated and 3D-printed trabecular bone, and the influence of noise and reconstruction kernel on the reproducibility of texture features.

Congratulations to our students on their accomplishments! 

Check Frank’s poster for more information, and the gallery for more pictures.