Skip to main content

CIALAB students have work accepted to OSU's Hayes Graduate Research Forum

Jeff Prescott, an MD/PhD student in the CIALAB, has had his recent research work accepted to the OSU Hayes Graduate Research Forum in the Engineering area. The accepted abstract, entitled, "Computerized muscle segmentation for osteoarthritis research," describes a method for the automated segmentation of the quadriceps muscles using a template-based level set approach. The segmentations are meant to be used in the analysis of the Osteoarthritis Initiative imaging dataset for biomarkers of OA incidence and progression.

Siddharth Samsi, a PhD student in the CIALAB also had his work accepted to the OSU Hayes Graduate Research Forum in the Engineering area. The abstract, entitled "A New Image of Cancer: Protein Signatures", describes the potential of utilizing Mass Spectrometry and image analysis for the diagnosis and grading of Follicular Lymphoma.

The Hayes Graduate Research Forum is meant to "recognize outstanding graduate student scholarship within the University" and consists of paper or poster presentations for students whose abstracts are accepted to the competition.

Comments

Post a Comment

Popular posts from this blog

CIALAB encouraging talented young minds with summer internships

CIALAB is pleased to introduce the three interns namely Tong Gan, Rosana Rodriguez Milanes and Michael Priddy working through summer’09. Rosana Rodriguez Milanes - I am a third year undergraduate student in Electronic Engineering from Universidad del Norte, Colombia. My experience as a volunteer foreign student in the Clinical Image Analysis Laboratory has been an edifying, gratifying and enriching. Being able to participate, to learn and to collaborate in the Clinical Image Analysis Laboratory during the past two weeks has allowed me to improve my analytical and interpretative skills in processing histopathological and MRI images. I have been able to learn about segmentation, region growing, splitting and merging algorithms development. I have also had the privilege of knowing and interacting with excellent engineers who have helped me improve my skills as a foreign student. I am grateful for the opportunity that the Ohio State University has given me to collaborate and to learn with...
1 comment
Read more

Recent publications

The CIA lab has recently had 4 articles published in PLOS One and the Journal of Urology. Automated Staging Of T1 Bladder Cancer Using Digital Pathologic H&E Images: A Deep Learning approach (Journal of Urology). The paper discusses the need for accurately gauging tumor cell intrusion into Lamina Propria in an effort to substage bladder cancer. It explains how transfer learning in conjunction with Convolutional Neural Networks can be used to accurately identify different bladder layers and then compute the distance between tumor nuclei and Lamina Propria. The article is available here:  https://www.jurology.com/article/S0022-5347(18)41148-2/pdf Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning (PLOS One). This paper examines a proposed methodology to automatically differentiate between NET and non-tumor regions based on images of Ki67 stained biopsies. It also uses transfer learning to exploit a rich set of features ...
6 comments
Read more

Dr. Sufyan Ababneh will be presenting two papers at the EIT conference

Two papers have been accepted for oral presentation and inclusion in the Proceedings of 2010 IEEE International Conference on Electro/Information Technology (EIT 2010), to be held at Illinois State University, Normal, Illinois, USA, May 20-22, 2010. Dr. Sufyan Ababneh will be presenting the following two papers at the EIT conference. First paper: An Automated Content-Based Segmentation Framework: Application to MR Images of Knee for Osteoarthritis Research Second paper: An Efficient Graph-Cut Segmentation for Knee Bone Osteoarthritis Medical Images
Post a Comment
Read more