Zobrazeno 1 - 10
of 1 741
pro vyhledávání: '"Erickson Bradley"'
Autor:
Singh Yashbir, Jons William, Conte Gian Marco, Jagtap Jaidip, Zhang Kuan, Sobek Joseph D., Rouzrokh Pouria, Eaton John E., Erickson Bradley J.
Publikováno v:
Current Directions in Biomedical Engineering, Vol 7, Iss 2, Pp 488-491 (2021)
Primary sclerosis cholangitis (PSC) predisposes individuals to liver failure, but it is challenging for radiologists examining radiologic images to predict which patients with PSC will ultimately develop liver failure. Motivated by algebraic topology
Externí odkaz:
https://doaj.org/article/348426eb386440f59bb74cd3e65e81dc
Autor:
Rouzrokh, Pouria, Khosravi, Bardia, Faghani, Shahriar, Mulford, Kellen L., Taunton, Michael J., Erickson, Bradley J., Wyles, Cody C.
Transforming two-dimensional (2D) images into three-dimensional (3D) volumes is a well-known yet challenging problem for the computer vision community. In the medical domain, a few previous studies attempted to convert two or more input radiographs i
Externí odkaz:
http://arxiv.org/abs/2404.13000
Autor:
Rouzrokh, Pouria, Faghani, Shahriar, Gamble, Cooper U., Shariatnia, Moein, Erickson, Bradley J.
Retrieval-augmented generation (RAG) frameworks enable large language models (LLMs) to retrieve relevant information from a knowledge base and incorporate it into the context for generating responses. This mitigates hallucinations and allows for the
Externí odkaz:
http://arxiv.org/abs/2404.04287
Autor:
Singh Yashbir, Subbarao Naidu, Jaimini Abhinav, Hathaway Quincy A., Kunovac Amina, Erickson Bradley, Swarup Vishnu, Singh Himanshu Narayan
Publikováno v:
Journal of Integrative Bioinformatics, Vol 19, Iss 3, Pp 1340-30 (2022)
Breast cancer metastases are most commonly found in bone, an indication of poor prognosis. Pathway-based biomarkers identification may help elucidate the cellular signature of breast cancer metastasis in bone, further characterizing the etiology and
Externí odkaz:
https://doaj.org/article/99b134a2b12a48e6930d2f0df345c0ef
Autor:
Sobek, Joseph, Inojosa, Jose R. Medina, Inojosa, Betsy J. Medina, Rassoulinejad-Mousavi, S. M., Conte, Gian Marco, Lopez-Jimenez, Francisco, Erickson, Bradley J.
Artificial intelligence-enhanced identification of organs, lesions, and other structures in medical imaging is typically done using convolutional neural networks (CNNs) designed to make voxel-accurate segmentations of the region of interest. However,
Externí odkaz:
http://arxiv.org/abs/2312.07729
Autor:
Khosravi, Bardia, Li, Frank, Dapamede, Theo, Rouzrokh, Pouria, Gamble, Cooper U., Trivedi, Hari M., Wyles, Cody C., Sellergren, Andrew B., Purkayastha, Saptarshi, Erickson, Bradley J., Gichoya, Judy W.
Chest X-rays (CXR) are essential for diagnosing a variety of conditions, but when used on new populations, model generalizability issues limit their efficacy. Generative AI, particularly denoising diffusion probabilistic models (DDPMs), offers a prom
Externí odkaz:
http://arxiv.org/abs/2311.09402
Autor:
Rouzrokh, Pouria, Khosravi, Bardia, Faghani, Shahriar, Moassefi, Mana, Vahdati, Sanaz, Erickson, Bradley J.
Despite the ever-increasing interest in applying deep learning (DL) models to medical imaging, the typical scarcity and imbalance of medical datasets can severely impact the performance of DL models. The generation of synthetic data that might be fre
Externí odkaz:
http://arxiv.org/abs/2210.12113
Autor:
Khosravi, Bardia, Rouzrokh, Pouria, Erickson, Bradley J., Garner, Hillary W., Wenger, Doris E., Taunton, Michael J., Wyles, Cody C.
Publikováno v:
In Arthroplasty Today October 2024 29
Autor:
Singh, Yashbir, Faghani, Shahriar, Eaton, John E., Venkatesh, Sudhakar K., Erickson, Bradley J.
Publikováno v:
In Mayo Clinic Proceedings: Digital Health September 2024 2(3):470-476
Autor:
Ye, Run Zhou, Lipatov, Kirill, Diedrich, Daniel, Bhattacharyya, Anirban, Erickson, Bradley J., Pickering, Brian W., Herasevich, Vitaly
Publikováno v:
In Journal of Critical Care August 2024 82