Medical imaging 2021 : imaging informatics for healthcare, research, and applications : 15-19 February 2021 / edited by Thomas M. Deserno, Brian J. Park.

Format:

Book

Contributor:

Deserno, Thomas M., editor.

Park, Brian J., editor.

Series:

Proceedings of SPIE--the International Society for Optical Engineering ; Volume 11601.

Proceedings of SPIE ; Volume 11601

Language:

English

Subjects (All):

Diagnostic imaging--Congresses.

Diagnostic imaging.

Physical Description:

1 online resource (258 pages).

Other Title:

Medical Imaging 2021

Place of Publication:

Bellingham, Washington : SPIE, [2021]

Contents:

Welcome and Introduction to SPIE Conference 11601 / Thomas Martin Deserno; Brian J. Park M.D.

Robotic imaging, machine learning and augmented reality for computer assisted interventions / Nassir Navab

Clinical Information Systems and COVID-19: Support for Health System Response / James Jeffrey Reeves; Christopher A. Longhurst

Human epithelial-2 cell image classification using deep unsupervised learning and gradient boosting trees / Xu Wang; Tanqiu Jiang; Hengxing Cai II

A cross-platform informatics system for the Gut Cell Atlas: integrating clinical, anatomical and histological data / Shunxing Bao; Sophie Chiron; Yucheng Tang; Cody N. Heiser; Austin N. Southard-Smith; Ho Hin Lee; Marisol A. Ramirez; Yuankai Huo; Mary K. Washington; Elizabeth A. Scoville; Joseph T. Roland; Qi Liu; Ken S. Lau; Keith T. Wilson; Lori A. Coburn; Bennett A. Landman

Substantiating the effect of DXA variables in the prediction of diabetes mellitus using machine learning / Rohith Haridas; Gautham Nandakumar; Girish Srinivasan; Youngsung Yoo; Hansuk Kim; Mark Punyanitya

Combined thermal and color 3D model for wound evaluation from handheld devices / Evelyn Gutierrez; Benjamin Castañeda; Sylvie Treuillet; Yves Lucas

Multi-camera, multi-person, and real-time fall detection using long short term memory / Mohammad Taufeeque; Samad Koita; Nicolai Spicher; Thomas M. Deserno

Development of a CT-compatible anthropomorphic skull phantom for surgical planning, training, and simulation / Marco Lai; Simon Skyrman; Flip Kor; Robert Homan; Drazenko Babic; Erik Edström; Oscar Persson; Gustav Burström; Adrian Elmi-Terander; Benno H. W. Hendriks; Peter H. N. de With

Evaluation of challenges and limitations of mechanical thrombectomy using 3D printed neurovascular phantoms / Kelsey N. Sommer; Mohammad Mahdi Shiraz Bhurwani; Maxim Mokin; Ciprian N. Ionita

Annotation quality vs. quantity for deep-learned medical image segmentation / Tim Wesemeyer; Malte-Levin Jauer; Thomas M. Deserno

Gamification concept for acquisition of medical image segmentation via crowdsourcing / Malte-Levin Jauer; Nicolai Spicher; Thomas M. Deserno

Understanding privacy risks in typical deep learning models for medical image analysis / Nagesh Subbanna; Anup Tuladhar; Matthias Wilms; Nils D. Forkert

A translational clinical assessment workflow for the validation of external artificial intelligence models / Chintan Shah; Steve Kohlmyer; Kyle J. Hunter; Stephen E. Jones; Po-Hao Chen

Deep learning pipeline for brain MRI acquisition type classification / Hossein Mohammadian Foroushani; Pamela LaMontagne; Lauren Wallace; Jenny Gurney; Daniel Marcus

Real or fake? Fourier analysis of generative adversarial network fundus images / Hardit Singh; Simarjit S. Saini; Vasudevan Lakshminarayanan

EdgeWaveNet: edge aware residual wavelet GAN for OCT image denoising / Sourya Sengupta; Amitojdeep Singh; Vasudevan Lakshminarayanan

Uncertainty aware and explainable diagnosis of retinal disease / Amitojdeep Singh; Sourya Sengupta; Mohamed Abdul Rasheed; Varadharajan Jayakumar; Vasudevan Lakshminarayanan

An optimal machine learning model for breast lesion classification based on random projection algorithm for feature optimization / Morteza Heidari; Seyedehnafiseh Mirniaharikandehei; Abolfazl Zargari Khuzani; Gopichandh Danala; Hung Pham; Sivaramakrishnan Lakshmivarahan; Bin Zheng

Learning knowledge from longitudinal data of mammograms to improving breast cancer risk prediction / Saba Dadsetan; Dooman Arefan; Margarita Zuley; Jules Sumkin; Min Sun; Shandong Wu

Suspicion Map: an unsupervised middleware for analyzing digital mammograms / Kadie Clancy; Dooman Arefan; Long Gao; Shandong Wu

Making a difference, an integrated PACS workflow for evaluating longitudinal changes across serial imaging / John Olson; Dzung L. Pham; Daniel S. Reich; John A. Butman

A web client-based online DICOM browser and NRRD converter for Studierfenster / Christopher A. Ramirez Bedoya; Daniel Wild; Antonio Pepe; Christina Gsaxner; Jianning Li; Jan Egger

Automated video summarization and label assignment for otoscopy videos using deep learning and natural language processing / Hamidullah Binol; M. Khalid Khan Niazi; Charles Elmaraghy; Aaron C. Moberly; Metin N. Gurcan

patologIA: online platform for improving image-based diagnostics applied to medical students / César A. S. Lima; Clayton Eduardo dos Santos; Márcia A. S. Bissaco; Alessandro P. da Silva; Terigi A. Scardovelli; Silvia R. M. da S. Boschi; Silvia Cristina Martini

Development of a Smart Hospital Assistant: integrating artificial intelligence and a voice-user interface for improved surgical outcomes / Jeong Hun Kim; Richard Um; Jonathan Liu; Japesh Patel; Eli Curry; Fariba Aghabaglou; Smruti Mahapatra; Ana Ainechi; Yohannes Tsehay; Jeff Ehresman; Brian Hwang; Betty Tyler; Rajiv Iyer; Nicholas Theodore; Amir Manbachi

The Aneurysm Occlusion Assistant, an AI platform for real time surgical guidance of intracranial aneurysms / Kyle A. Williams; Alexander R. Podgorsak; Mohammad Mahdi Shiraz Bhurwani; Ryan A. Rava; Kelsey N. Sommer; Ciprian N. Ionita

COVID-19 detection from scarce chest x-ray image data using few-shot deep learning approach / Shruti Jadon

Fully automated CT to x-ray registration of infected lung regions for COVID-19 patient monitoring / Gautham Nandakumar; Artur Trzesiok; Nikita Thomas; Axel Gedeon Mengara; Akhila Perumalla; Jaewoo Pi; Girish Srinivasan; Rashmi Sama; Hansuk Kim

Classification of lung disease using CT image encodings computed from a novel 3D segmentation U-Net / Prahlad G. Menon; Palash G. Shah

U-radiomics for predicting survival of patients with COVID-19 / Tomoki Uemura; Janne Näppi; Chinatsu Watari; Tohru Kamiya; Hiroyuki Yoshida

Prediction of Oncotype DX recurrence score in breast cancer by integration of DCE-MRI radiomics and clinicopathologic data / Yajing Cui; Ming Fan; Weijun Peng; Li Liu; Qianming Bai; Lihua Li

Validating a computer aided glaucoma screening system using RIGA 2 dataset / Ahmed Almazroa; Mohammed Alawawd

Study for metastasis prediction of head and neck squamous cell carcinomas using RNA-sequencing data and PET image feature / Sang-Keun Woo; Ilhan Lim; Jingyu Kim; Byung-chul Kim

2D vs. 3D U-Net abdominal organ segmentation in CT data using organ bounds / Daria Kern; Ulrich Klauck; Timo Ropinski; André Mastmeyer

A cloud-based centerline algorithm for Studierfenster / Christina Dionysio; Daniel Wild; Antonio Pepe; Christina Gsaxner; Jianning Li; Luis Alvarez; Jan Egger

Comparative performance of self-supervised 3D-ResNet-GAN for electronic cleansing in single- and dual-energy CT colonography / Rie Tachibana; Janne J. Näppi; Toru Hironaka; Hiroyuki Yoshida.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

1-5106-4032-0