Zobrazeno 1 - 10
of 333
pro vyhledávání: '"Brian Pollack"'
Publikováno v:
Journal of the American Academy of Dermatology. 88:164-165
Autor:
Marvin J. Sandoval, Jianya Peng, Heidi P. Risman, Viralkumar Davra, Amariliz Rivera, Raghavendra Rao Sridhar, Yun-Juan Chang, Brian Pollack, Sergei V. Kotenko, Orchi Dutta, Raymond B. Birge, Joan E. Durbin, Constance McElrath, Mark Galan, Sergey V. Smirnov, Vanessa Espinosa, Hsiang-Chi Tseng, Jian-Da Lin
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
The etiology of ulcerative colitis is poorly understood and is likely to involve perturbation of the complex interactions between the mucosal immune system and the commensal bacteria of the gut, with cytokines acting as important cross-regulators. He
Autor:
Brian Pollack, Pooya Mobadersany, Hagar Hussein, Matt McCormick, Mohamed Amgad, David A. Gutman, Sanghoon Lee, Habiba Elfandy, Lee Cooper
Publikováno v:
Cancer Res
Whole-slide histology images contain information that is valuable for clinical and basic science investigations of cancer but extracting quantitative measurements from these images is challenging for researchers who are not image analysis specialists
Autor:
Ardavan, Saeedi, Payman, Yadollahpour, Sumedha, Singla, Brian, Pollack, William, Wells, Frank, Sciurba, Kayhan, Batmanghelich
Publikováno v:
Proc Mach Learn Res
Probabilistic topic models, have been widely deployed for various applications such as learning disease or tissue subtypes. Yet, learning the parameters of such models is usually an ill-posed problem and may result in losing valuable information abou
Autor:
Jeremy M. Boss, Edmund K. Waller, Sanjay Chandrasekaran, David A. Gutman, Christopher D. Scharer, Dillon G. Patterson, Kelly R. Magliocca, Sergei V. Kotenko, Lee Ad Cooper, Gregory B. Lesinski, Brian Pollack, Carlos S. Moreno, John T. Seykora, Susan N. Thomas, Robert A. Swerlick, Maiko Sasaki, Haydn T. Kissick, Bishu Sapkota
Publikováno v:
Mol Cancer Res
Molecular events activating the PI3K pathway are frequently detected in human tumors and the activation of PI3K signaling alters numerous cellular processes including tumor cell proliferation, survival, and motility. More recent studies have highligh
Autor:
Paula E. North, Shengnan Wu, Shikha Rao, Hartej Singh, Justin Elsey, Brian Pollack, Yoon Hee Jung, Jeffrey A. Bubley, Ming-Hui Zou, Jack L. Arbiser, Jayanth Kumar, Maiko Sasaki
Publikováno v:
npj Precision Oncology, Vol 3, Iss 1, Pp 1-9 (2019)
NPJ Precision Oncology
NPJ Precision Oncology
Propranolol is a widely used beta blocker that consists of a racemic mixture of R and S stereoisomers. Only the S stereoisomer has significant activity against the beta-adrenergic receptor. A fortuitous clinical observation was made in an infant who
Autor:
Alessandro Furlan, Kayhan Batmanghelich, Roberta Catania, Brian Pollack, Emile Gordon, Carlos Morillo-Hernandez, Amir A. Borhani, Stephen S. Cai, Stephen Wallace
Publikováno v:
Radiol Artif Intell
PURPOSE: To reconstruct virtual MR elastography (MRE) images based on traditional MRI inputs with a machine learning algorithm. MATERIALS AND METHODS: In this single-institution, retrospective study, 149 patients (mean age, 58 years ± 12 [standard d
Publikováno v:
Medical image analysis. 84
We propose a BlackBox Counterfactual Explainer, designed to explain image classification models for medical applications. Classical approaches (e.g., , saliency maps) that assess feature importance do not explain how imaging features in important ana
Publikováno v:
Oral Oncology. 134:106109
Oral epithelial dysplasia (OED) is a precursor lesion to oral squamous cell carcinoma, a disease with a reported overall survival rate of 56 percent across all stages. Accurate detection of OED is critical as progression to oral cancer can be impeded
We propose a BlackBox Counterfactual Explainer that is explicitly developed for medical imaging applications. Classical approaches (e.g., saliency maps) assessing feature importance do not explain how and why variations in a particular anatomical reg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::094c83964367b22568f8cb478215fd38
https://doi.org/10.36227/techrxiv.14777772
https://doi.org/10.36227/techrxiv.14777772