activity
20202024
most citedA Deep Learning Study on Osteosarcoma Detection from Histological Images

100 citations · 117 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2024

CELI: Controller-Embedded Language Model Interactions

Jan-Samuel Wagner, Dave DeCaprio, Abishek Chiffon Muthu Raja +12

We introduce Controller-Embedded Language Model Interactions (CELI), a framework that integrates control logic directly within language model (LM) prompts, facilitating complex, mu…

cs.CV2023★ 9 cited

MultiNet with Transformers: A Model for Cancer Diagnosis Using Images

Hosein Barzekar, Yash Patel, Ling Tong +1

Cancer is a leading cause of death in many countries. An early diagnosis of cancer based on biomedical imaging ensures effective treatment and a better prognosis. However, biomedic…

eess.IV2023★ 4 cited

Multiclass Semantic Segmentation to Identify Anatomical Sub-Regions of Brain and Measure Neuronal Health in Parkinson's Disease

Hosein Barzekar, Hai Ngu, Han Hui Lin +6

Automated segmentation of anatomical sub-regions with high precision has become a necessity to enable the quantification and characterization of cells/ tissues in histology images.…

eess.IV2020★ 100 cited

A Deep Learning Study on Osteosarcoma Detection from Histological Images

D M Anisuzzaman, Hosein Barzekar, Ling Tong +2

In the U.S, 5-10\% of new pediatric cases of cancer are primary bone tumors. The most common type of primary malignant bone tumor is osteosarcoma. The intention of the present work…

eess.IV2020★ 4 cited

C-Net: A Reliable Convolutional Neural Network for Biomedical Image Classification

Hosein Barzekar, Zeyun Yu

Cancers are the leading cause of death in many countries. Early diagnosis plays a crucial role in having proper treatment for this debilitating disease. The automated classificatio…