Zobrazeno 1 - 10
of 258
pro vyhledávání: '"Fan Richard"'
Autor:
Di, Julia, Dugonjic, Zdravko, Fu, Will, Wu, Tingfan, Mercado, Romeo, Sawyer, Kevin, Most, Victoria Rose, Kammerer, Gregg, Speidel, Stefanie, Fan, Richard E., Sonn, Geoffrey, Cutkosky, Mark R., Lambeta, Mike, Calandra, Roberto
Vision-based tactile sensors have recently become popular due to their combination of low cost, very high spatial resolution, and ease of integration using widely available miniature cameras. The associated field of view and focal length, however, ar
Externí odkaz:
http://arxiv.org/abs/2403.05500
Autor:
Liu, Zhengzhong, Qiao, Aurick, Neiswanger, Willie, Wang, Hongyi, Tan, Bowen, Tao, Tianhua, Li, Junbo, Wang, Yuqi, Sun, Suqi, Pangarkar, Omkar, Fan, Richard, Gu, Yi, Miller, Victor, Zhuang, Yonghao, He, Guowei, Li, Haonan, Koto, Fajri, Tang, Liping, Ranjan, Nikhil, Shen, Zhiqiang, Ren, Xuguang, Iriondo, Roberto, Mu, Cun, Hu, Zhiting, Schulze, Mark, Nakov, Preslav, Baldwin, Tim, Xing, Eric P.
The recent surge in open-source Large Language Models (LLMs), such as LLaMA, Falcon, and Mistral, provides diverse options for AI practitioners and researchers. However, most LLMs have only released partial artifacts, such as the final model weights
Externí odkaz:
http://arxiv.org/abs/2312.06550
ProsDectNet: Bridging the Gap in Prostate Cancer Detection via Transrectal B-mode Ultrasound Imaging
Autor:
Vesal, Sulaiman, Bhattacharya, Indrani, Jahanandish, Hassan, Li, Xinran, Kornberg, Zachary, Zhou, Steve Ran, Sommer, Elijah Richard, Choi, Moon Hyung, Fan, Richard E., Sonn, Geoffrey A., Rusu, Mirabela
Interpreting traditional B-mode ultrasound images can be challenging due to image artifacts (e.g., shadowing, speckle), leading to low sensitivity and limited diagnostic accuracy. While Magnetic Resonance Imaging (MRI) has been proposed as a solution
Externí odkaz:
http://arxiv.org/abs/2312.05334
Autor:
Eminaga, Okyaz, Abbas, Mahmoud, Kunder, Christian, Tolkach, Yuri, Han, Ryan, Brooks, James D., Nolley, Rosalie, Semjonow, Axel, Boegemann, Martin, West, Robert, Long, Jin, Fan, Richard, Bettendorf, Olaf
Prostate cancer pathology plays a crucial role in clinical management but is time-consuming. Artificial intelligence (AI) shows promise in detecting prostate cancer and grading patterns. We tested an AI-based digital twin of a pathologist, vPatho, on
Externí odkaz:
http://arxiv.org/abs/2308.11992
Autor:
Vesal, Sulaiman, Gayo, Iani, Bhattacharya, Indrani, Natarajan, Shyam, Marks, Leonard S., Barratt, Dean C, Fan, Richard E., Hu, Yipeng, Sonn, Geoffrey A., Rusu, Mirabela
Prostate biopsy and image-guided treatment procedures are often performed under the guidance of ultrasound fused with magnetic resonance images (MRI). Accurate image fusion relies on accurate segmentation of the prostate on ultrasound images. Yet, th
Externí odkaz:
http://arxiv.org/abs/2209.02126
Autor:
Shen, Ziyi, Yang, Qianye, Shen, Yuming, Giganti, Francesco, Stavrinides, Vasilis, Fan, Richard, Moore, Caroline, Rusu, Mirabela, Sonn, Geoffrey, Torr, Philip, Barratt, Dean, Hu, Yipeng
Image registration is useful for quantifying morphological changes in longitudinal MR images from prostate cancer patients. This paper describes a development in improving the learning-based registration algorithms, for this challenging clinical appl
Externí odkaz:
http://arxiv.org/abs/2207.06189
Autor:
Saeed, Shaheer U., Fu, Yunguan, Stavrinides, Vasilis, Baum, Zachary M. C., Yang, Qianye, Rusu, Mirabela, Fan, Richard E., Sonn, Geoffrey A., Noble, J. Alison, Barratt, Dean C., Hu, Yipeng
Publikováno v:
Medical Image Analysis, Volume 78, 2022, 102427, ISSN 1361-8415
In this paper, we consider image quality assessment (IQA) as a measure of how images are amenable with respect to a given downstream task, or task amenability. When the task is performed using machine learning algorithms, such as a neural-network-bas
Externí odkaz:
http://arxiv.org/abs/2203.14258
Autor:
Saeed, Shaheer U., Yan, Wen, Fu, Yunguan, Giganti, Francesco, Yang, Qianye, Baum, Zachary M. C., Rusu, Mirabela, Fan, Richard E., Sonn, Geoffrey A., Emberton, Mark, Barratt, Dean C., Hu, Yipeng
Image quality assessment (IQA) in medical imaging can be used to ensure that downstream clinical tasks can be reliably performed. Quantifying the impact of an image on the specific target tasks, also named as task amenability, is needed. A task-speci
Externí odkaz:
http://arxiv.org/abs/2202.09798
Autor:
Bhattacharya, Indrani, Lim, David S., Aung, Han Lin, Liu, Xingchen, Seetharaman, Arun, Kunder, Christian A., Shao, Wei, Soerensen, Simon J. C., Fan, Richard E., Ghanouni, Pejman, To'o, Katherine J., Brooks, James D., Sonn, Geoffrey A., Rusu, Mirabela
Prostate cancer is the second deadliest cancer for American men. While Magnetic Resonance Imaging (MRI) is increasingly used to guide targeted biopsies for prostate cancer diagnosis, its utility remains limited due to high rates of false positives an
Externí odkaz:
http://arxiv.org/abs/2112.02164
Autor:
Zhou, Steve R., Choi, Moon Hyung, Vesal, Sulaiman, Kinnaird, Adam, Brisbane, Wayne G., Lughezzani, Giovanni, Maffei, Davide, Fasulo, Vittorio, Albers, Patrick, Zhang, Lichun, Kornberg, Zachary, Fan, Richard E., Shao, Wei, Rusu, Mirabela, Sonn, Geoffrey A.
Publikováno v:
In European Urology Open Science August 2024 66:93-100
