Zobrazeno 1 - 10
of 1 301
pro vyhledávání: '"Pollack , Brian"'
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
Externí odkaz:
http://arxiv.org/abs/2101.04230
Autor:
Lee, Sanghoon, Amgad, Mohamed, Chittajallu, Deepak R., McCormick, Matt, Pollack, Brian P, Elfandy, Habiba, Hussein, Hagar, Gutman, David A, Cooper, Lee AD
Extracting quantitative phenotypic information from whole-slide images presents significant challenges for investigators who are not experienced in developing image analysis algorithms. We present new software that enables rapid learn-by-example trai
Externí odkaz:
http://arxiv.org/abs/2001.11547
As machine learning methods see greater adoption and implementation in high stakes applications such as medical image diagnosis, the need for model interpretability and explanation has become more critical. Classical approaches that assess feature im
Externí odkaz:
http://arxiv.org/abs/1911.00483
Autor:
Sivasami, Pulavendran, Elkins, Cody, Diaz-Saldana, Pamela P., Goss, Kyndal, Peng, Amy, Hamersky, Michael, IV, Bae, Jennifer, Xu, Miaoer, Pollack, Brian P., Horwitz, Edwin M., Scharer, Christopher D., Seldin, Lindsey, Li, Chaoran
Publikováno v:
In Immunity 8 August 2023 56(8):1844-1861
The series solution to Laplace's equation in a helical coordinate system is derived and refined using symmetry and chirality arguments. These functions and their more commonplace counterparts are used to model solenoidal magnetic fields via linear, m
Externí odkaz:
http://arxiv.org/abs/1901.02498
Autor:
Kim, Jihoon, Archer, Paul A., Manspeaker, Margaret P., Avecilla, Alexa R.C., Pollack, Brian P., Thomas, Susan N.
Publikováno v:
In Journal of Controlled Release May 2023 357:655-668
Publikováno v:
In Medical Image Analysis February 2023 84
Publikováno v:
In Oral Oncology November 2022 134
Autor:
Kong, Ha Eun, Pollack, Brian P.
Publikováno v:
In JAAD International June 2022 7:7-12
The Bayesian Block algorithm, originally developed for applications in astronomy, can be used to improve the binning of histograms in high energy physics. The visual improvement can be dramatic, as shown here with two simple examples. More importantl
Externí odkaz:
http://arxiv.org/abs/1708.00810