Zobrazeno 1 - 10
of 397
pro vyhledávání: '"P. Wiedeman"'
This study aims to improve photon counting CT (PCCT) image resolution using denoising diffusion probabilistic models (DDPM). Although DDPMs have shown superior performance when applied to various computer vision tasks, their effectiveness has yet to
Externí odkaz:
http://arxiv.org/abs/2408.15283
Photon-counting CT using a Conditional Diffusion Model for Super-resolution and Texture-preservation
Ultra-high resolution images are desirable in photon counting CT (PCCT), but resolution is physically limited by interactions such as charge sharing. Deep learning is a possible method for super-resolution (SR), but sourcing paired training data that
Externí odkaz:
http://arxiv.org/abs/2402.16212
Autor:
Myungkoo Kang, Rashi Sharma, Cesar Blanco, Daniel Wiedeman, Quentin Altemose, Patrick E. Lynch, Gil B. J. Sop Tagne, Yifei Zhang, Mikhail Y. Shalaginov, Cosmin-Constantin Popescu, Brandon M. Triplett, Clara Rivero-Baleine, Casey M. Schwarz, Anuradha M. Agarwal, Tian Gu, Juejun Hu, Kathleen A. Richardson
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Ge–Sb–Se–Te chalcogenides, namely Se-substituted Ge–Sb–Te, have been developed as an alternative optical phase change material (PCM) with a high figure-of-merit. A need for the integration of such new PCMs onto a variety of photoni
Externí odkaz:
https://doaj.org/article/8048acebe74640ee8503b0e232f0a69e
Autor:
Erin M. Witkop, Kirsten Diggins, Alice Wiedeman, Elisavet Serti, Gerald Nepom, Vivian H. Gersuk, Bryce Fuchs, S. Alice Long, Peter S. Linsley
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-14 (2024)
Abstract Distinct Natural Killer (NK)-like CD57+ and PD-1+ CD8+ exhausted-like T cell populations (Tex) have both been linked to beneficial immunotherapy response in autoimmune type 1 diabetes (T1D) patients. The origins and relationships between the
Externí odkaz:
https://doaj.org/article/8d3fb1a37da44494b3b4cd1c67e7d55e
Autor:
Christopher Wiedeman, Peter Lorraine, Ge Wang, Richard Do, Amber Simpson, Jacob Peoples, Bruno De Man
Publikováno v:
Visual Computing for Industry, Biomedicine, and Art, Vol 7, Iss 1, Pp 1-15 (2024)
Abstract Early diagnosis and accurate prognosis of colorectal cancer is critical for determining optimal treatment plans and maximizing patient outcomes, especially as the disease progresses into liver metastases. Computed tomography (CT) is a frontl
Externí odkaz:
https://doaj.org/article/c57a0f59ce8d4d5798be7098bed7d359
Deep learning methods have impacted almost every research field, demonstrating notable successes in medical imaging tasks such as denoising and super-resolution. However, the prerequisite for deep learning is data at scale, but data sharing is expens
Externí odkaz:
http://arxiv.org/abs/2301.06604
Autor:
Wiedeman, Christopher, Wang, Ge
Artificial intelligence has made great progress in medical data analysis, but the lack of robustness and trustworthiness has kept these methods from being widely deployed. As it is not possible to train networks that are accurate in all scenarios, mo
Externí odkaz:
http://arxiv.org/abs/2207.09031
Publikováno v:
Onderstepoort Journal of Veterinary Research, Vol 91, Iss 1, Pp e1-e6 (2024)
Various zoonotic microorganisms cause reproductive problems such as abortions and stillbirths, leading to economic losses on farms, particularly within livestock. In South Africa, bovine brucellosis is endemic in cattle, and from 2013–2018, outbrea
Externí odkaz:
https://doaj.org/article/7817c0d1e43245c489dda29e1dd701da
Autor:
Wiedeman, Christopher, Wang, Ge
Publikováno v:
Patterns (N Y). 2022 Mar 24;3(5):100472
Adversarial attack transferability is well-recognized in deep learning. Prior work has partially explained transferability by recognizing common adversarial subspaces and correlations between decision boundaries, but little is known beyond this. We p
Externí odkaz:
http://arxiv.org/abs/2108.12492
Autor:
Sarah Alice Long, Virginia S. Muir, Britta E. Jones, Valerie Z. Wall, Alyssa Ylescupidez, Anne M. Hocking, Stephan Pribitzer, Jerill Thorpe, Bryce Fuchs, Alice E. Wiedeman, Megan Tatum, Katharina Lambert, Hannes Uchtenhagen, Cate Speake, Bernard Ng, Alexander T. Heubeck, Troy R. Torgerson, Adam K. Savage, Michael A. Maldonado, Neelanjana Ray, Vadim Khaychuk, Jinqi Liu, Peter S. Linsley, Jane H. Buckner
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
Exhausted CD8 T cells (TEX) are associated with worse outcome in cancer yet better outcome in autoimmunity. Building on our past findings of increased TIGIT+KLRG1+ TEX with teplizumab therapy in type 1 diabetes (T1D), in the absence of treatment we f
Externí odkaz:
https://doaj.org/article/848afa4859044e9fb280078686f378e7