Search Results for author: Ph. D.

Found 6 papers, 1 papers with code

Car-Following Models: A Multidisciplinary Review

no code implementations14 Apr 2023 Tianya Terry Zhang, Peter J. Jin, Sean T. McQuade, Alexandre Bayen, Ph. D., Benedetto Piccoli

Car-following (CF) algorithms are crucial components of traffic simulations and have been integrated into many production vehicles equipped with Advanced Driving Assistance Systems (ADAS).

Imitation Learning reinforcement-learning +1

Deep learning model trained on mobile phone-acquired frozen section images effectively detects basal cell carcinoma

no code implementations22 Nov 2020 Junli Cao, B. S., Junyan Wu, M. S., Jing W. Zhang, Jay J. Ye, Ph. D., Limin Yu, M. D., M. S

Results: The model uses an image as input and produces a 2-dimensional black and white output of prediction of the same dimension; the areas determined to be basal cell carcinoma were displayed with white color, in a black background.

Semantic Segmentation

Assessment of Amazon Comprehend Medical: Medication Information Extraction

no code implementations2 Feb 2020 Benedict Guzman, Isabel Metzger, MS, Yindalon Aphinyanaphongs, M. D., Ph. D., Himanshu Grover, Ph. D

To further establish the generalizability of its medication extraction performance, a set of random internal clinical text notes from NYU Langone Medical Center were also included in this work.

Anatomy

Intracranial Hemorrhage Segmentation Using Deep Convolutional Model

1 code implementation18 Oct 2019 Murtadha D. Hssayeni, M. S., Muayad S. Croock, Aymen Al-Ani, Ph. D., Hassan Falah Al-khafaji, Zakaria A. Yahya, M. D., Behnaz Ghoraani, Ph. D

The current clinical protocol to diagnose ICH is examining Computerized Tomography (CT) scans by radiologists to detect ICH and localize its regions.

Image Segmentation Medical Image Segmentation +2

A comparison of cluster algorithms as applied to unsupervised surveys

no code implementations28 Nov 2018 Kathleen Campbell Garwood, Ph. D., Arpit Arun Dhobale

When considering answering important questions with data, unsupervised data offers extensive insight opportunity and unique challenges.

Clustering

Geared Rotationally Identical and Invariant Convolutional Neural Network Systems

no code implementations3 Aug 2018 ShihChung B. Lo, Matthew T. Freedman, M. D., Seong K. Mun, Ph. D., Heang-Ping Chan, Ph. D

Theorems and techniques to form different types of transformationally invariant processing and to produce the same output quantitatively based on either transformationally invariant operators or symmetric operations have recently been introduced by the authors.

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