Zobrazeno 1 - 10
of 3 592
pro vyhledávání: '"Sonn, A."'
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
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:
Steve R. Zhou, Moon Hyung Choi, Sulaiman Vesal, Adam Kinnaird, Wayne G. Brisbane, Giovanni Lughezzani, Davide Maffei, Vittorio Fasulo, Patrick Albers, Lichun Zhang, Zachary Kornberg, Richard E. Fan, Wei Shao, Mirabela Rusu, Geoffrey A. Sonn
Publikováno v:
European Urology Open Science, Vol 66, Iss , Pp 93-100 (2024)
Background and objective: Micro-ultrasound (MUS) uses a high-frequency transducer with superior resolution to conventional ultrasound, which may differentiate prostate cancer from normal tissue and thereby allow targeted biopsy. Preliminary evidence
Externí odkaz:
https://doaj.org/article/ac74276604104b3b8ee9cd8c9dbdb480
Autor:
Stacke, Karin, Bhattacharya, Indrani, Tse, Justin R., Brooks, James D., Sonn, Geoffrey A., Rusu, Mirabela
Renal cell carcinoma (RCC) is a common cancer that varies in clinical behavior. Indolent RCC is often low-grade without necrosis and can be monitored without treatment. Aggressive RCC is often high-grade and can cause metastasis and death if not prom
Externí odkaz:
http://arxiv.org/abs/2209.14657
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:
Chantal Barwig, Annabelle Sonn, Tobias Spratte, Ankit Mishra, Eva Blasco, Christine Selhuber‐Unkel, Sadaf Pashapour
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 7, Pp n/a-n/a (2024)
Microfluidic tools enable to investigate and manipulate various chemical and biological processes at small scales. As a result, it finds widespread applications in lab‐on‐chip devices, drug delivery systems, or miniaturized cell cultures. However
Externí odkaz:
https://doaj.org/article/34c9c300a9174bbfb6538b557a1de710
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:
Chen, Katherine T., Royce, Celeste S., Baecher-Lind, Laura, Bhargava, Rashmi, Fleming, Angela, Morgan, Helen Kang, Morosky, Christopher M., Schaffir, Jonathan A., Sims, Shireen Madani, Sonn, Tammy, Sutton, Jill M., Stephenson-Famy, Alyssa
Publikováno v:
In American Journal of Obstetrics and Gynecology November 2024 231(5):475-479
Autor:
Saldivar, Robert M., Buller, Leonard T., Deckard, Evan R., Sonn, Kevin A., Meneghini, R. Michael
Publikováno v:
In The Journal of Arthroplasty September 2024 39(9) Supplement 1:S153-S160