Zobrazeno 1 - 10
of 11 366
pro vyhledávání: '"Kapur, P. A."'
Purpose: A reliable cancer prognosis model for clear cell renal cell carcinoma (ccRCC) can enhance personalized treatment. We developed a multi-modal ensemble model (MMEM) that integrates pretreatment clinical data, multi-omics data, and histopatholo
Externí odkaz:
http://arxiv.org/abs/2412.07136
Autor:
Xue, Xiao, Dai, Shi, Luu, Hoang Nhan, Liu, Tao, Ren, Jing, Shu, Jing, Zhao, Yue, Zic, Andrew, Bhat, N. D. Ramesh, Chen, Zu-Cheng, Feng, Yi, Hobbs, George, Kapur, Agastya, Manchester, Richard N., Mandow, Rami, Mishra, Saurav, Reardon, Daniel J., Russell, Christopher J., Shannon, Ryan M., Wang, Shuangqiang, Zhang, Lei, Zhang, Songbo, Zhu, Xingjiang
We conduct the first-ever Pulsar Polarization Array (PPA) analysis to detect the ultralight Axion-Like Dark Matter (ALDM) using the polarization data of 22 millisecond pulsars from the third data release of Parkes Pulsar Timing Array. As one of the m
Externí odkaz:
http://arxiv.org/abs/2412.02229
Autor:
Dorent, Reuben, Haouchine, Nazim, Golby, Alexandra, Frisken, Sarah, Kapur, Tina, Wells, William
We propose a deep mixture of multimodal hierarchical variational auto-encoders called MMHVAE that synthesizes missing images from observed images in different modalities. MMHVAE's design focuses on tackling four challenges: (i) creating a complex lat
Externí odkaz:
http://arxiv.org/abs/2410.19378
Autor:
Wang, Peiqi, Lam, Barbara D., Liu, Yingcheng, Asgari-Targhi, Ameneh, Panda, Rameswar, Wells, William M., Kapur, Tina, Golland, Polina
We present a novel approach to calibrating linguistic expressions of certainty, e.g., "Maybe" and "Likely". Unlike prior work that assigns a single score to each certainty phrase, we model uncertainty as distributions over the simplex to capture thei
Externí odkaz:
http://arxiv.org/abs/2410.04315
One-to-one tutoring is one of the most efficient methods of teaching. Following the rise in popularity of Large Language Models (LLMs), there have been efforts to use them to create conversational tutoring systems, which can make the benefits of one-
Externí odkaz:
http://arxiv.org/abs/2410.03781
Autor:
Rasheed, Hassan, Dorent, Reuben, Fehrentz, Maximilian, Kapur, Tina, Wells III, William M., Golby, Alexandra, Frisken, Sarah, Schnabel, Julia A., Haouchine, Nazim
We propose in this paper a texture-invariant 2D keypoints descriptor specifically designed for matching preoperative Magnetic Resonance (MR) images with intraoperative Ultrasound (US) images. We introduce a matching-by-synthesis strategy, where intra
Externí odkaz:
http://arxiv.org/abs/2409.08169
Autor:
Dorent, Reuben, Khajavi, Roya, Idris, Tagwa, Ziegler, Erik, Somarouthu, Bhanusupriya, Jacene, Heather, LaCasce, Ann, Deissler, Jonathan, Ehrhardt, Jan, Engelson, Sofija, Fischer, Stefan M., Gu, Yun, Handels, Heinz, Kasai, Satoshi, Kondo, Satoshi, Maier-Hein, Klaus, Schnabel, Julia A., Wang, Guotai, Wang, Litingyu, Wald, Tassilo, Yang, Guang-Zhong, Zhang, Hanxiao, Zhang, Minghui, Pieper, Steve, Harris, Gordon, Kikinis, Ron, Kapur, Tina
Accurate assessment of lymph node size in 3D CT scans is crucial for cancer staging, therapeutic management, and monitoring treatment response. Existing state-of-the-art segmentation frameworks in medical imaging often rely on fully annotated dataset
Externí odkaz:
http://arxiv.org/abs/2408.10069
The growth of weeds poses a significant challenge to agricultural productivity, necessitating efficient and accurate weed detection and management strategies. The combination of multispectral imaging and drone technology has emerged as a promising ap
Externí odkaz:
http://arxiv.org/abs/2408.06727
Autor:
Rogers, Axl F., van Straten, Willem, Gulyaev, Sergei, Parthasarathy, Aditya, Hobbs, George, Chen, Zu-Cheng, Feng, Yi, Goncharov, Boris, Kapur, Agastya, Liu, Xiaojin, Reardon, Daniel, Russell, Christopher J., Zic, Andrew
This paper demonstrates the impact of state-of-the-art instrumental calibration techniques on the precision of arrival times obtained from 9.6 years of observations of millisecond pulsars using the Murriyang 64-m CSIRO Parkes Radio Telescope. Our stu
Externí odkaz:
http://arxiv.org/abs/2407.20015
Large language models (LLMs) present an opportunity to scale high-quality personalized education to all. A promising approach towards this means is to build dialog tutoring models that scaffold students' problem-solving. However, even though existing
Externí odkaz:
http://arxiv.org/abs/2407.09136