Search Results for author: M. D.

Found 9 papers, 1 papers with code

ACTIVE: A Deep Model for Sperm and Impurity Detection in Microscopic Videos

no code implementations15 Jan 2023 Ao Chen, Jinghua Zhang, Md Mamunur Rahaman, Hongzan Sun, M. D., Tieyong Zeng, Marcin Grzegorzek, Feng-Lei Fan, Chen Li

The accurate detection of sperms and impurities is a very challenging task, facing problems such as the small size of targets, indefinite target morphologies, low contrast and resolution of the video, and similarity of sperms and impurities.

object-detection Object Detection

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

Extracting and Learning Fine-Grained Labels from Chest Radiographs

no code implementations18 Nov 2020 Tanveer Syeda-Mahmood, K. C. L Wong, Joy T. Wu, M. D., M. P. H, Ashutosh Jadhav, Ph. D, Orest Boyko, M. D. Ph. D

Chest radiographs are the most common diagnostic exam in emergency rooms and intensive care units today.

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.


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 +1

Generative Adversarial Networks Synthesize Realistic OCT Images of the Retina

no code implementations18 Feb 2019 Stephen G. Odaibo, M. D., M. S.

We report, to our knowledge, the first end-to-end application of Generative Adversarial Networks (GANs) towards the synthesis of Optical Coherence Tomography (OCT) images of the retina.

Wearable-based Mediation State Detection in Individuals with Parkinson's Disease

no code implementations19 Sep 2018 Murtadha D. Hssayeni, Michelle A. Burack, Joohi Jimenez-Shahed, M. D., Behnaz Ghoraani, Ph. D

There is a need to a technology-based system that can provide objective measures about the duration in different medication states that can be used by the treating physician to successfully adjust the therapy.


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.

Exploiting Partial Structural Symmetry For Patient-Specific Image Augmentation in Trauma Interventions

no code implementations9 Apr 2018 Javad Fotouhi, Mathias Unberath, Giacomo Taylor, Arash Ghaani Farashahi, Bastian Bier, Russell H. Taylor, Greg M. Osgood, M. D., Mehran Armand, Nassir Navab

The main challenge is to automatically estimate the desired plane of symmetry within the patient's pre-operative CT. We propose to estimate this plane using a non-linear optimization strategy, by minimizing Tukey's biweight robust estimator, relying on the partial symmetry of the anatomy.

Anatomy Image Augmentation

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