Zobrazeno 1 - 10
of 455
pro vyhledávání: '"Harmon, Stephanie"'
Autor:
Guo, Pengfei, Zhao, Can, Yang, Dong, Xu, Ziyue, Nath, Vishwesh, Tang, Yucheng, Simon, Benjamin, Belue, Mason, Harmon, Stephanie, Turkbey, Baris, Xu, Daguang
Medical imaging analysis faces challenges such as data scarcity, high annotation costs, and privacy concerns. This paper introduces the Medical AI for Synthetic Imaging (MAISI), an innovative approach using the diffusion model to generate synthetic 3
Externí odkaz:
http://arxiv.org/abs/2409.11169
Autor:
Chen, Alex, Lay, Nathan, Harmon, Stephanie, Ozyoruk, Kutsev, Yilmaz, Enis, Wood, Brad J., Pinto, Peter A., Choyke, Peter L., Turkbey, Baris
Prostate cancer is one of the most prevalent malignancies in the world. While deep learning has potential to further improve computer-aided prostate cancer detection on MRI, its efficacy hinges on the exhaustive curation of manually annotated images.
Externí odkaz:
http://arxiv.org/abs/2406.12177
Autor:
He, Yufan, Guo, Pengfei, Tang, Yucheng, Myronenko, Andriy, Nath, Vishwesh, Xu, Ziyue, Yang, Dong, Zhao, Can, Simon, Benjamin, Belue, Mason, Harmon, Stephanie, Turkbey, Baris, Xu, Daguang, Li, Wenqi
Medical image segmentation is a core component of precision medicine, and 3D computed tomography (CT) is one of the most important imaging techniques. A highly accurate and clinically applicable segmentation foundation model will greatly facilitate c
Externí odkaz:
http://arxiv.org/abs/2406.05285
Autor:
Anari, Pouria Yazdian, Obiezu, Fiona, Lay, Nathan, Firouzabadi, Fatemeh Dehghani, Chaurasia, Aditi, Golagha, Mahshid, Singh, Shiva, Homayounieh, Fatemeh, Zahergivar, Aryan, Harmon, Stephanie, Turkbey, Evrim, Gautam, Rabindra, Ma, Kevin, Merino, Maria, Jones, Elizabeth C., Ball, Mark W., Linehan, W. Marston, Turkbey, Baris, Malayeri, Ashkan A.
Introduction This study explores the use of the latest You Only Look Once (YOLO V7) object detection method to enhance kidney detection in medical imaging by training and testing a modified YOLO V7 on medical image formats. Methods Study includes 878
Externí odkaz:
http://arxiv.org/abs/2402.05817
Autor:
Anari, Pouria Yazdian, Lay, Nathan, Chaurasia, Aditi, Gopal, Nikhil, Samimi, Safa, Harmon, Stephanie, Gautam, Rabindra, Ma, Kevin, Firouzabadi, Fatemeh Dehghani, Turkbey, Evrim, Merino, Maria, Jones, Elizabeth C., Ball, Mark W., Linehan, W. Marston, Turkbey, Baris, Malayeri, Ashkan A.
We demonstrate automated segmentation of clear cell renal cell carcinomas (ccRCC), cysts, and surrounding normal kidney parenchyma in patients with von Hippel-Lindau (VHL) syndrome using convolutional neural networks (CNN) on Magnetic Resonance Imagi
Externí odkaz:
http://arxiv.org/abs/2301.02538
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation
Autor:
Guo, Pengfei, Yang, Dong, Hatamizadeh, Ali, Xu, An, Xu, Ziyue, Li, Wenqi, Zhao, Can, Xu, Daguang, Harmon, Stephanie, Turkbey, Evrim, Turkbey, Baris, Wood, Bradford, Patella, Francesca, Stellato, Elvira, Carrafiello, Gianpaolo, Patel, Vishal M., Roth, Holger R.
Federated learning (FL) is a distributed machine learning technique that enables collaborative model training while avoiding explicit data sharing. The inherent privacy-preserving property of FL algorithms makes them especially attractive to the medi
Externí odkaz:
http://arxiv.org/abs/2203.06338
Autor:
Simon, Benjamin D., Merriman, Katie M., Harmon, Stephanie A., Tetreault, Jesse, Yilmaz, Enis C., Blake, Zoë, Merino, Maria J., An, Julie Y., Marko, Jamie, Law, Yan Mee, Gurram, Sandeep, Wood, Bradford J., Choyke, Peter L., Pinto, Peter A., Turkbey, Baris
Publikováno v:
In Academic Radiology October 2024 31(10):4096-4106
Autor:
Belue, Mason J.1 (AUTHOR) mbelue@uams.edu, Harmon, Stephanie A.1 (AUTHOR) stephanie.harmon@nih.gov, Chappidi, Shreya2,3 (AUTHOR) shreya.chappidi@nih.gov, Zhuge, Ying2 (AUTHOR) zhugey@mail.nih.gov, Tasci, Erdal2 (AUTHOR) sarisha.jagasia@nih.gov, Jagasia, Sarisha2 (AUTHOR) thomas.joyce@nih.gov, Joyce, Thomas2 (AUTHOR) camphauk@mail.nih.gov, Camphausen, Kevin2 (AUTHOR), Turkbey, Baris1 (AUTHOR) ismail.turkbey@nih.gov, Krauze, Andra V.2 (AUTHOR) andra.krauze@nih.gov
Publikováno v:
Diagnostics (2075-4418). Jul2024, Vol. 14 Issue 13, p1374. 17p.
Autor:
Patkar, Sushant, Harmon, Stephanie, Sesterhenn, Isabell, Lis, Rosina, Merino, Maria, Young, Denise, Brown, G. Thomas, Greenfield, Kimberly M., McGeeney, John D., Elsamanoudi, Sally, Tan, Shyh-Han, Schafer, Cara, Jiang, Jiji, Petrovics, Gyorgy, Dobi, Albert, Rentas, Francisco J., Pinto, Peter A., Chesnut, Gregory T., Choyke, Peter, Turkbey, Baris, Moncur, Joel T.
Publikováno v:
In Journal of Pathology Informatics December 2024 15
Autor:
Pastor, Gloria, Swaim, Doris, Sahagun, Seynt Jiro, Purdy, Julia, Chairez, Cheryl, Dee, Nicola, Curl, Kara, Rehm, Catherine, Santamaria, Ulisses, Caldararo, Rocco, Alsaaty, Sara, Kanth, Shreya M., Huapaya, Julio A., Gairhe, Salina, Wang, Honghui, Tian, Xin, Demirkale, Cumhur Y., Hou, Chunyan, Ma, Junfeng, Kuhns, Douglas B., Fink, Danielle L., Malayeri, Ashkan, Turkbey, Evrim, Harmon, Stephanie A., Chen, Marcus Y., Regenold, David, Lynch, Nicolas F., Ramelli, Sabrina, Li, Willy, Krack, Janell, Kuruppu, Janaki, Lionakis, Michail S., Strich, Jeffrey R., Davey, Richard, Childs, Richard, Chertow, Daniel S., Kovacs, Joseph A., Parizi, Parizad Torabi, Suffredini, Anthony F.
Publikováno v:
In Cell Reports Medicine 16 July 2024 5(7)