Share Email Print
cover

PROCEEDINGS VOLUME 10575

Medical Imaging 2018: Computer-Aided Diagnosis
For the purchase of this volume in printed format, please visit Proceedings.com

Volume Details

Volume Number: 10575
Date Published: 23 April 2018

Table of Contents
show all abstracts | hide all abstracts
Front Matter: Volume 10575
Author(s): Proceedings of SPIE
Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT images
Author(s): Hirohisa Oda; Holger R. Roth; Kanwal K. Bhatia; Masahiro Oda; Takayuki Kitasaka; Shingo Iwano; Hirotoshi Homma; Hirotsugu Takabatake; Masaki Mori; Hiroshi Natori; Julia A. Schnabel; Kensaku Mori
Show Abstract
Early detection of lung cancer recurrence after stereotactic ablative radiation therapy: radiomics system design
Author(s): Salma Dammak; David Palma; Sarah Mattonen; Suresh Senan; Aaron D. Ward
Show Abstract
Pneumothorax detection in chest radiographs using convolutional neural networks
Author(s): Aviel Blumenfeld; Eli Konen; Hayit Greenspan
Show Abstract
Boosting CNN performance for lung texture classification using connected filtering
Author(s): Sebastián Roberto Tarando; Catalin Fetita; Young-Wouk Kim; Hyoun Cho; Pierre-Yves Brillet
Show Abstract
Automatic liver volume segmentation and fibrosis classification
Author(s): Evgeny Bal; Eyal Klang; Michal Amitai; Hayit Greenspan
Show Abstract
Association of high proliferation marker Ki-67 expression with DCEMR imaging features of breast: a large scale evaluation
Author(s): Ashirbani Saha; Michael R. Harowicz; Lars J. Grimm; Connie E. Kim; Sujata V. Ghate; Ruth Walsh; Maciej A. Mazurowski
Show Abstract
Detecting mammographically occult cancer in women with dense breasts using Radon Cumulative Distribution Transform: a preliminary analysis
Author(s): Juhun Lee; Robert M. Nishikawa; Gustavo K. Rohde
Show Abstract
Deriving stable multi-parametric MRI radiomic signatures in the presence of inter-scanner variations: survival prediction of glioblastoma via imaging pattern analysis and machine learning techniques
Author(s): Saima Rathore; Spyridon Bakas; Hamed Akbari; Gaurav Shukla; Martin Rozycki; Christos Davatzikos
Show Abstract
Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths
Author(s): Heather M. Whitney; Karen Drukker; Alexandra Edwards; John Papaioannou; Maryellen L. Giger
Show Abstract
Empirical evaluation of cross-site reproducibility in radiomic features for characterizing prostate MRI
Author(s): Prathyush Chirra; Patrick Leo; Michael Yim; B. Nicolas Bloch; Ardeshir R. Rastinehad; Andrei Purysko; Mark Rosen M.D.; Anant Madabhushi; Satish Viswanath
Show Abstract
A deep learning classifier for prediction of pathological complete response to neoadjuvant chemotherapy from baseline breast DCE-MRI
Author(s): Kavya Ravichandran; Nathaniel Braman; Andrew Janowczyk; Anant Madabhushi
Show Abstract
Deep learning and texture-based semantic label fusion for brain tumor segmentation
Author(s): L. Vidyaratne; M. Alam; Z. Shboul; K. M. Iftekharuddin
Show Abstract
Quantifying the association between white matter integrity changes and subconcussive head impact exposure from a single season of youth and high school football using 3D convolutional neural networks
Author(s): Behrouz Saghafi; Gowtham Murugesan; Elizabeth Davenport; Ben Wagner; Jillian Urban; Mireille Kelley; Derek Jones; Alexander Powers; Christopher Whitlow; Joel Stitzel; Joseph Maldjian; Albert Montillo
Show Abstract
Single season changes in resting state network power and the connectivity between regions distinguish head impact exposure level in high school and youth football players
Author(s): Gowtham Murugesan; Behrouz Saghafi; Elizabeth Davenport; Ben Wagner; Jillian Urban; Mireille Kelley; Derek Jones; Alex Powers; Christopher Whitlow; Joel Stitzel; Joseph Maldjian; Albert Montillo
Show Abstract
Gaussian processes with optimal kernel construction for neuro-degenerative clinical onset prediction
Author(s): Liane S. Canas; Benjamin Yvernault; David M. Cash; Erika Molteni; Tom Veale; Tammie Benzinger; Sébastien Ourselin; Simon Mead; Marc Modat
Show Abstract
MRI textures as outcome predictor for Gamma Knife radiosurgery on vestibular schwannoma
Author(s): P. P. J. H. Langenhuizen; M. J. W. Legters; S. Zinger; H. B. Verheul; S. Leenstra; P. H. N. de With
Show Abstract
ADMultiImg: a novel missing modality transfer learning based CAD system for diagnosis of MCI due to AD using incomplete multi-modality imaging data
Author(s): Xiaonan Liu; Kewei Chen; Teresa Wu; David Weidman M.D.; Fleming Lure; Jing Li
Show Abstract
Longitudinal connectome-based predictive modeling for REM sleep behavior disorder from structural brain connectivity
Author(s): Luca Giancardo; Timothy M. Ellmore; Jessika Suescun; Laura Ocasio; Arash Kamali; Roy Riascos-Castaneda; Mya C. Schiess
Show Abstract
Automated synovium segmentation in doppler ultrasound images for rheumatoid arthritis assessment
Author(s): Pak-Hei Yeung; York-Kiat Tan; Shuoyu Xu
Show Abstract
Automatic pedicles detection using convolutional neural network in a 3D spine reconstruction from biplanar radiographs
Author(s): Christine Bakhous; Benjamin Aubert; Carlos Vazquez; Thierry Cresson; Stefan Parent; Jacques De Guise
Show Abstract
Fully automated bone mineral density assessment from low-dose chest CT
Author(s): Shuang Liu; Jessica Gonzalez; Javier Zulueta; Juan P. de-Torres; David F. Yankelevitz; Claudia I. Henschke; Anthony P. Reeves
Show Abstract
Segmentation of skin lesions in chronic graft versus host disease photographs with fully convolutional networks
Author(s): Jianing Wang; Fuyao Chen; Laura E. Dellalana; Madan H. Jagasia; Eric R. Tkaczyk; Benoit M. Dawant
Show Abstract
Computer-aided detection of basal cell carcinoma through blood content analysis in dermoscopy images
Author(s): Pegah Kharazmi; Sunil Kalia; Harvey Lui; Z. Jane Wang; Tim K. Lee
Show Abstract
Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme
Author(s): Morteza Heidari; Abolfazl Zargari Khuzani; Gopichandh Danala; Yuchen Qiu ; Bin Zheng
Show Abstract
Cross-domain and multi-task transfer learning of deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis
Author(s): Ravi K. Samala; Heang-Ping Chan; Lubomir Hadjiiski; Mark A. Helvie; Caleb Richter; Kenny Cha
Show Abstract
Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features
Author(s): Rui Hou; Bibo Shi; Lars J. Grimm; Maciej A. Mazurowski; Jeffrey R. Marks; Lorraine M. King; Carlo C. Maley; E. Shelley Hwang; Joseph Y. Lo
Show Abstract
Deep learning in breast cancer risk assessment: evaluation of fine-tuned convolutional neural networks on a clinical dataset of FFDMs
Author(s): Hui Li; Kayla R. Mendel; John H. Lee; Li Lan; Maryellen L. Giger
Show Abstract
Transfer learning with convolutional neural networks for lesion classification on clinical breast tomosynthesis
Author(s): Kayla R. Mendel; Hui Li; Deepa Sheth; Maryellen L. Giger
Show Abstract
Breast tumor segmentation in DCE-MRI using fully convolutional networks with an application in radiogenomics
Author(s): Jun Zhang; Ashirbani Saha; Zhe Zhu; Maciej A. Mazurowski
Show Abstract
A quality score for coronary artery tree extraction results
Author(s): Qing Cao; Alexander Broersen; Pieter H. Kitslaar M.D.; Boudewijn P. F. Lelieveldt; Jouke Dijkstra
Show Abstract
Aortic root segmentation in 4D transesophageal echocardiography
Author(s): Shubham Chechani; Rahul Suresh; Kedar A. Patwardhan
Show Abstract
Automated assessment of aortic and main pulmonary arterial diameters using model-based blood vessel segmentation for predicting chronic thromboembolic pulmonary hypertension in low-dose CT lung screening
Author(s): Hidenobu Suzuki; Yoshiki Kawata; Noboru Niki; Toshihiko Sugiura; Nobuhiro Tanabe; Masahiko Kusumoto; Kenji Eguchi; Masahiro Kaneko
Show Abstract
Computer aided diagnosis system for automated label-free early detection of oral epithelial cancer and dysplasia based on autofluorescence lifetime imaging endoscopy (Conference Presentation)
Author(s): Javier A. Jo; Shuna Cheng; Rodrigo Cuenca; Elvis Duran; Bilal Malik; Kristen Maitland; Beena Ahmed; Lisa Cheng; John Wright
Show Abstract
Identification and functional characterization of HIV-associated neurocognitive disorders with large-scale Granger causality analysis on resting-state functional MRI
Author(s): Udaysankar Chockanathan; Adora M. DSouza; Anas Z. Abidin; Giovanni Schifitto M.D.; Axel Wismüller M.D.
Show Abstract
Automated segmentation of geographic atrophy using deep convolutional neural networks
Author(s): Zhihong Hu; Ziyuan Wang; SriniVas R. Sadda
Show Abstract
An affordable and easy-to-use diagnostic method for keratoconus detection using a smartphone
Author(s): Behnam Askarian; Fatemehsadat Tabei; Amin Askarian; Jo Woon Chong
Show Abstract
Detection of protruding lesion in wireless capsule endoscopy videos of small intestine
Author(s): Chengliang Wang; Zhuo Luo; Xiaoqi Liu; Jianying Bai; Guobin Liao
Show Abstract
Radiomics analysis of DWI data to identify the rectal cancer patients qualified for local excision after neoadjuvant chemoradiotherapy
Author(s): Zhenchao Tang; Zhenyu Liu; Xiaoyan Zhang; Yanjie Shi; Shou Wang; Mengjie Fang; Yingshi Sun; Enqing Dong; Jie Tian
Show Abstract
Development of a computer aided diagnosis model for prostate cancer classification on multi-parametric MRI
Author(s): R. Alfano; D. Soetemans; G. S. Bauman; E. Gibson; M. Gaed; M. Moussa; J. A. Gomez; J. L. Chin; S. Pautler; A. D. Ward
Show Abstract
Cascade classification of endocytoscopic images of colorectal lesions for automated pathological diagnosis
Author(s): Hayato Itoh; Yuichi Mori; Masashi Misawa; Masahiro Oda; Shin-ei Kudo; Kensaku Mori
Show Abstract
A new fractional order derivative based active contour model for colon wall segmentation
Author(s): Bo Chen; Lihong C. Li; Huafeng Wang; Xinzhou Wei; Shan Huang; Wensheng Chen; Zhengrong Liang
Show Abstract
Detection of colorectal masses in CT colonography: application of deep residual networks for differentiating masses from normal colon anatomy
Author(s): Janne J. Näppi; Toru Hironaka; Hiroyuki Yoshida
Show Abstract
Comparison of different deep learning approaches for parotid gland segmentation from CT images
Author(s): Annika Hänsch; Michael Schwier; Tobias Gass; Tomasz Morgas; Benjamin Haas; Jan Klein; Horst K. Hahn
Show Abstract
Detection of eardrum abnormalities using ensemble deep learning approaches
Author(s): Caglar Senaras; Aaron C. Moberly M.D.; Theodoros Teknos M.D.; Garth Essig M.D.; Charles Elmaraghy M.D.; Nazhat Taj-Schaal M.D.; Lianbo Yua; Metin N. Gurcan
Show Abstract
A convolutional neural network for intracranial hemorrhage detection in non-contrast CT
Author(s): Ajay Patel; Rashindra Manniesing
Show Abstract
Deep 3D convolution neural network for CT brain hemorrhage classification
Author(s): Kamal Jnawali; Mohammad R. Arbabshirani; Navalgund Rao; Alpen A. Patel M.D.
Show Abstract
Cerebral microbleed detection in traumatic brain injury patients using 3D convolutional neural networks
Author(s): K. Standvoss; T. Crijns; L. Goerke; D. Janssen; S. Kern; T. van Niedek; J. van Vugt; N. Alfonso Burgos; E. J. Gerritse; J. Mol; D. van de Vooren; M. Ghafoorian; T. L. A. van den Heuvel; R. Manniesing
Show Abstract
Comparing deep learning models for population screening using chest radiography
Author(s): R. Sivaramakrishnan; Sameer Antani; Sema Candemir; Zhiyun Xue; Joseph Abuya; Marc Kohli; Philip Alderson; George Thoma
Show Abstract
Deep-learning derived features for lung nodule classification with limited datasets
Author(s): P. Thammasorn; W. Wu; L. A. Pierce; S. N. Pipavath; P. D. Lampe; A. M. Houghton; D. R. Haynor; W. A. Chaovalitwongse; P. E. Kinahan
Show Abstract
Prognostic importance of pleural attachment status measured by pretreatment CT images in patients with stage IA lung adenocarcinoma: measurement of the ratio of the interface between nodule and neighboring pleura to nodule surface area
Author(s): Y. Kawata; N. Niki; M. Kusumoto; H. Ohmatsu; K. Aokage; G. Ishii; Y. Matsumoto; T. Tsuchida; K. Eguchi; M. Kaneko
Show Abstract
Differentiating invasive and pre-invasive lung cancer by quantitative analysis of histopathologic images
Author(s): Chuan Zhou; Hongliu Sun; Heang-Ping Chan; Aamer Chughtai; Jun Wei; Lubomir Hadjiiski; Ella Kazerooni
Show Abstract
Using YOLO based deep learning network for real time detection and localization of lung nodules from low dose CT scans
Author(s): Sindhu Ramachandran S.; Jose George; Shibon Skaria; Varun V. V.
Show Abstract
Automated volumetric lung segmentation of thoracic CT images using fully convolutional neural network
Author(s): Mohammadreza Negahdar; David Beymer; Tanveer Syeda-Mahmood
Show Abstract
Variations in algorithm implementation among quantitative texture analysis software packages
Author(s): Joseph J. Foy; Prerana Mitta; Lauren R. Nowosatka; Kayla R. Mendel; Hui Li; Maryellen L. Giger; Hania Al-Hallaq; Samuel G. Armato III
Show Abstract
Towards quantitative imaging: stability of fully automated nodule segmentation across varied dose levels and reconstruction parameters in a low-dose CT screening patient cohort
Author(s): M. Wasil Wahi-Anwar; Nastaran Emaminejad; John Hoffman; Grace H. Kim; Matthew S. Brown; Michael F. McNitt-Gray
Show Abstract
Anomaly detection for medical images based on a one-class classification
Author(s): Qi Wei; Yinhao Ren; Rui Hou; Bibo Shi; Joseph Y. Lo; Lawrence Carin
Show Abstract
Quantitative CT analysis for the preoperative prediction of pathologic grade in pancreatic neuroendocrine tumors
Author(s): Jayasree Chakraborty; Alessandra Pulvirenti M.D.; Rikiya Yamashita M.D.; Abhishek Midya; Mithat Gönen; David S. Klimstra M.D.; Diane L. Reidy M.D.; Peter J. Allen M.D.; Richard K. G. Do M.D.; Amber L. Simpson
Show Abstract
Quantitative image feature variability amongst CT scanners with a controlled scan protocol
Author(s): Rachel B. Ger; Shouhao Zhou; Pai-Chun Melinda Chi; David L. Goff; Lifei Zhang; Hannah J. Lee; Clifton D. Fuller; Rebecca M. Howell; Heng Li; R. Jason Stafford; Laurence E. Court; Dennis S. Mackin
Show Abstract
A primitive study on unsupervised anomaly detection with an autoencoder in emergency head CT volumes
Author(s): Daisuke Sato M.D.; Shouhei Hanaoka M.D.; Yukihiro Nomura; Tomomi Takenaga; Soichiro Miki M.D.; Takeharu Yoshikawa M.D.; Naoto Hayashi M.D.; Osamu Abe M.D.
Show Abstract
Artery and vein segmentation of the cerebral vasculature in 4D CT using a 3D fully convolutional neural network
Author(s): Midas Meijs; Rashindra Manniesing
Show Abstract
Detection of brain tumor margins using optical coherence tomography
Author(s): Ronald M. Juarez-Chambi; Carmen Kut; Jesus Rico-Jimenez; Daniel U. Campos-Delgado; Alfredo Quinones-Hinojosa; Xingde Li; Javier Jo
Show Abstract
Classification of brain MRI with big data and deep 3D convolutional neural networks
Author(s): Viktor Wegmayr; Sai Aitharaju; Joachim Buhmann
Show Abstract
Saliency U-Net: A regional saliency map-driven hybrid deep learning network for anomaly segmentation
Author(s): Alex Karargyros; Tanveer Syeda-Mahmood
Show Abstract
Radiation-free quantification of head malformations in craniosynostosis patients from 3D photography
Author(s): Liyun Tu; Antonio R. Porras; Albert Oh; Natasha Lepore; Manuel Mastromanolis; Deki Tsering; Beatriz Paniagua; Andinet Enquobahrie; Robert Keating; Gary F. Rogers; Marius George Linguraru
Show Abstract
Bladder cancer treatment response assessment in CT urography using two-channel deep-learning network
Author(s): Kenny H. Cha; Lubomir M. Hadjiiski; Heang-Ping Chan; Ravi K. Samala; Richard H. Cohan; Elaine M. Caoili; Alon Z. Weizer; Ajjai Alva
Show Abstract
Automated detection and segmentation of follicles in 3D ultrasound for assisted reproduction
Author(s): Nikhil S. Narayan; Srinivasan Sivanandan; Srinivas Kudavelly; Kedar A. Patwardhan; G. A. Ramaraju
Show Abstract
Comparison of machine learned approaches for thyroid nodule characterization from shear wave elastography images
Author(s): Carina Pereira; Manjiri Dighe M.D.; Adam M. Alessio
Show Abstract
Bladder cancer treatment response assessment with radiomic, clinical, and radiologist semantic features
Author(s): Marshall N. Gordon; Kenny H. Cha; Lubomir M. Hadjiiski; Heang-Ping Chan; Richard H. Cohan; Elaine M. Caoili; Chintana Paramagul; Ajjai Alva; Alon Z. Weizer
Show Abstract
Automatic detection of kidney in 3D pediatric ultrasound images using deep neural networks
Author(s): Pooneh R. Tabrizi; Awais Mansoor; Elijah Biggs; James Jago; Marius George Linguraru
Show Abstract
Generalization error analysis: deep convolutional neural network in mammography
Author(s): Caleb D. Richter; Ravi K. Samala; Heang-Ping Chan; Lubomir Hadjiiski; Kenny Cha
Show Abstract
Compression of deep convolutional neural network for computer-aided diagnosis of masses in digital breast tomosynthesis
Author(s): Ravi K. Samala; Heang-Ping Chan; Lubomir Hadjiiski; Mark A. Helvie; Caleb Richter; Kenny Cha
Show Abstract
ICADx: interpretable computer aided diagnosis of breast masses
Author(s): Seong Tae Kim; Hakmin Lee; Hak Gu Kim; Yong Man Ro
Show Abstract
Do pre-trained deep learning models improve computer-aided classification of digital mammograms?
Author(s): Sarah S. Aboutalib; Aly A. Mohamed; Margarita L. Zuley; Wendie A. Berg; Yahong Luo; Shandong Wu
Show Abstract
Fully automated gynecomastia quantification from low-dose chest CT
Author(s): Shuang Liu; Emily B. Sonnenblick; Lea Azour; David F. Yankelevitz; Claudia I. Henschke; Anthony P. Reeves
Show Abstract
Breast mass detection in mammography and tomosynthesis via fully convolutional network-based heatmap regression
Author(s): Jun Zhang; Elizabeth Hope Cain; Ashirbani Saha; Zhe Zhu; Maciej A. Mazurowski
Show Abstract
Detecting PHG frames in wireless capsule endoscopy video by integrating rough global dominate-color with fine local texture features
Author(s): Xiaoqi Liu; Chengliang Wang Sr.; Jianying Bai Sr.; Guobin Liao
Show Abstract
Automatic blood vessel based-liver segmentation using the portal phase abdominal CT
Author(s): Ahmed S. Maklad; Mikio Matsuhiro; Hidenobu Suzuki; Yoshiki Kawata; Noboru Niki; Mitsuo Shimada; Gen Iinuma
Show Abstract
Deep convolutional neural network for the classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma
Author(s): Abhishek Midya; Jayasree Chakraborty; Linda M. Pak M.D.; Jian Zheng M.D.; William R. Jarnagin M.D.; Richard K. G. Do M.D.; Amber L. Simpson
Show Abstract
Computer-aided detection of bladder wall thickening in CT urography (CTU)
Author(s): Kenny H. Cha; Lubomir M. Hadjiiski; Heang-Ping Chan; Elaine M. Caoili; Richard H. Cohan; Alon Z. Weizer; Marshall N. Gordon; Ravi K. Samala
Show Abstract
Histogram-based adaptive gray level scaling for texture feature classification of colorectal polyps
Author(s): Marc Pomeroy; Hongbing Lu; Perry J. Pickhardt; Zhengrong Liang
Show Abstract
Bladder cancer staging in CT urography: effect of stage labels on statistical modeling of a decision support system
Author(s): Dhanuj Gandikota; Lubomir Hadjiiski; Kenny H. Cha; Heang-Ping Chan; Elaine M. Caoili; Richard H. Cohan; Alon Weizer; Ajjai Alva; Chintana Paramagul; Jun Wei; Chuan Zhou
Show Abstract
Performance evaluation of 2D and 3D deep learning approaches for automatic segmentation of multiple organs on CT images
Author(s): Xiangrong Zhou; Kazuma Yamada; Takuya Kojima; Ryosuke Takayama; Song Wang; Xinxin Zhou; Takeshi Hara; Hiroshi Fujita
Show Abstract
Urinary bladder cancer T-staging from T2-weighted MR images using an optimal biomarker approach
Author(s): Chuang Wang; Jayaram K. Udupa; Yubing Tong; Jerry Chen; Sriram Venigalla; Dewey Odhner; Thomas J. Guzzo; John Christodouleas; Drew A. Torigian
Show Abstract
Automated volumetry of temporal horn of lateral ventricle for detection of Alzheimer's disease in CT scan
Author(s): Noriyuki Takahashi; Toshibumi Kinoshita; Tomomi Ohmura; Eri Matsuyama; Hideto Toyoshima
Show Abstract
Exploring DeepMedic for the purpose of segmenting white matter hyperintensity lesions
Author(s): Fiona Lippert; Bastian Cheng; Amir Golsari; Florian Weiler; Johannes Gregori; Götz Thomalla; Jan Klein
Show Abstract
Evaluation of a deep learning architecture for MR imaging prediction of ATRX in glioma patients
Author(s): Panagiotis Korfiatis; Timothy L. Kline; Bradley J. Erickson
Show Abstract
Measurement of hard tissue density based on image density of intraoral radiograph
Author(s): Akitoshi Katsumata; Tatsumasa Fukui; Shinji Shimoda; Kaoru Kobayashi; Tatsuro Hayashi
Show Abstract
Classifying magnetic resonance image modalities with convolutional neural networks
Author(s): Samuel Remedios; Dzung L. Pham; John A. Butman; Snehashis Roy
Show Abstract
Pectoral muscle segmentation in breast tomosynthesis with deep learning
Author(s): Alejandro Rodriguez-Ruiz; Jonas Teuwen; Kaman Chung; Nico Karssemeijer; Margarita Chevalier; Albert Gubern-Merida; Ioannis Sechopoulos
Show Abstract
Computer-aided classification of breast masses using contrast-enhanced digital mammograms
Author(s): Gopichandh Danala; Faranak Aghaei; Morteza Heidari; Teresa Wu; Bhavika Patel; Bin Zheng
Show Abstract
Applying a new unequally weighted feature fusion method to improve CAD performance of classifying breast lesions
Author(s): Abolfazl Zargari Khuzani; Gopichandh Danala; Morteza Heidari; Yue Du; Najmeh Mashhadi; Yuchen Qiu; Bin Zheng
Show Abstract
Recurrent neural networks for breast lesion classification based on DCE-MRIs
Author(s): Natasha Antropova; Benjamin Huynh; Maryellen Giger
Show Abstract
Multi-resolution analysis using integrated microscopic configuration with local patterns for benign-malignant mass classification
Author(s): Rinku Rabidas; Abhishek Midya; Jayasree Chakraborty; Anup Sadhu; Wasim Arif
Show Abstract
Association between mammogram density and background parenchymal enhancement of breast MRI
Author(s): Faranak Aghaei; Gopichandh Danala; Yunzhi Wang; Ali Zarafshani; Wei Qian; Hong Liu; Bin Zheng
Show Abstract
Reduction of false-positives in a CAD scheme for automated detection of architectural distortion in digital mammography
Author(s): Helder C. R. de Oliveira; Arianna Mencattini; Paola Casti; Eugenio Martinelli; Corrado di Natale; Juliana H. Catani; Nestor de Barros; Carlos F. E. Melo; Adilson Gonzaga; Marcelo A. C. Vieira
Show Abstract
A fully automatic microcalcification detection approach based on deep convolution neural network
Author(s): Guanxiong Cai; Yanhui Guo; Yaqin Zhang; Genggeng Qin; Yuanpin Zhou; Yao Lu
Show Abstract
Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning
Author(s): Bibo Shi; Rui Hou; Maciej A. Mazurowski; Lars J. Grimm; Yinhao Ren; Jeffrey R. Marks; Lorraine M. King; Carlo C. Maley; E. Shelley Hwang; Joseph Y. Lo
Show Abstract
Deformable image registration as a tool to improve survival prediction after neoadjuvant chemotherapy for breast cancer: results from the ACRIN 6657/I-SPY-1 trial
Author(s): Nariman Jahani; Eric Cohen; Meng-Kang Hsieh; Susan P. Weinstein; Lauren Pantalone; Christos Davatzikos; Despina Kontos
Show Abstract
Expert identification of visual primitives used by CNNs during mammogram classification
Author(s): Jimmy Wu; Diondra Peck; Scott Hsieh; Vandana Dialani M.D.; Constance D. Lehman M.D.; Bolei Zhou; Vasilis Syrgkanis; Lester Mackey; Genevieve Patterson
Show Abstract
Similarity estimation for reference image retrieval in mammograms using convolutional neural network
Author(s): Chisako Muramatsu; Shunichi Higuchi; Takako Morita; Mikinao Oiwa; Hiroshi Fujita
Show Abstract
Convolutional encoder-decoder for breast mass segmentation in digital breast tomosynthesis
Author(s): Jun Zhang; Sujata V. Ghate; Lars J. Grimm; Ashirbani Saha; Elizabeth Hope Cain; Zhe Zhu; Maciej A. Mazurowski
Show Abstract
Deep learning-based features of breast MRI for prediction of occult invasive disease following a diagnosis of ductal carcinoma in situ: preliminary data
Author(s): Zhe Zhu; Michael Harowicz D.D.S.; Jun Zhang; Ashirbani Saha; Lars J. Grimm; Shelley Hwang; Maciej A. Mazurowski
Show Abstract
Breast cancer molecular subtype classification using deep features: preliminary results
Author(s): Zhe Zhu; Ehab Albadawy; Ashirbani Saha; Jun Zhang; Michael R. Harowicz; Maciej A. Mazurowski
Show Abstract
Voxel-based plaque classification in coronary intravascular optical coherence tomography images using decision trees
Author(s): Chaitanya Kolluru; David Prabhu; Yazan Gharaibeh; Hao Wu; David L. Wilson
Show Abstract
Myocardial scar segmentation from magnetic resonance images using convolutional neural network
Author(s): Fatemeh Zabihollahy; James A. White; Eranga Ukwatta
Show Abstract
Convolutional neural networks for the detection of diseased hearts using CT images and left atrium patches
Author(s): James D. Dormer; Martin Halicek; Ling Ma; Carolyn M. Reilly; Eduard Schreibmann; Baowei Fei
Show Abstract
Lesion detection in ultra-wide field retinal images for diabetic retinopathy diagnosis
Author(s): Anastasia Levenkova; Arcot Sowmya; Michael Kalloniatis; Angelica Ly; Arthur Ho
Show Abstract
3D GGO candidate extraction in lung CT images using multilevel thresholding on supervoxels
Author(s): Shan Huang; Xiabi Liu; Guanghui Han; Xinming Zhao; Yanfeng Zhao; Chunwu Zhou
Show Abstract
Opacity annotation of diffuse lung diseases using deep convolutional neural network with multi-channel information
Author(s): Shingo Mabu; Shoji Kido M.D.; Noriaki Hashimoto; Yasushi Hirano; Takashi Kuremoto
Show Abstract
Localization of lung fields in HRCT images using a deep convolution neural network
Author(s): Abhishek Kumar; Sunita Agarwala; Ashis Kumar Dhara; Sudipta Mukhopadhyay; Debashis Nandi; Mandeep Garg; Niranjan Khandelwal; Naveen Kalra
Show Abstract
Deep neural network convolution (NNC) for three-class classification of diffuse lung disease opacities in high-resolution CT (HRCT): consolidation, ground-glass opacity (GGO), and normal opacity
Author(s): Noriaki Hashimoto; Kenji Suzuki; Junchi Liu; Yasushi Hirano; Heber MacMahon; Shoji Kido
Show Abstract
A deep-learning based automatic pulmonary nodule detection system
Author(s): Yiyuan Zhao; Liang Zhao; Zhennan Yan; Matthias Wolf; Yiqiang Zhan
Show Abstract
An evaluation of consensus techniques for diagnostic interpretation
Author(s): Jake N. Sauter; Victoria M. LaBarre; Jacob D. Furst; Daniela S. Raicu
Show Abstract
Lung nodule detection from CT scans using 3D convolutional neural networks without candidate selection
Author(s): Natalia M. Jenuwine; Sunny N. Mahesh; Jacob D. Furst; Daniela S. Raicu
Show Abstract
An automatically generated texture-based atlas of the lungs
Author(s): Yashin Dicente Cid; Oula Puonti; Alexandra Platon; Koen Van Leemput; Henning Müller; Pierre-Alexandre Poletti
Show Abstract
A coarse-to-fine approach for pericardial effusion localization and segmentation in chest CT scans
Author(s): Jiamin Liu; Karthik Chellamuthu; Le Lu; Mohammadhadi Bagheri; Ronald M. Summers
Show Abstract
Automated quasi-3D spine curvature quantification and classification
Author(s): Rupal Khilari; Juris Puchin; Kazunori Okada
Show Abstract
Computer aided detection system for Osteoporosis using low dose thoracic 3D CT images
Author(s): Daisuke Tsuji; Mikio Matsuhiro; Hidenobu Suzuki; Yoshiki Kawata; Noboru Niki; Yasutaka Nakano; Masafumi Harada; Masahiko Kusumoto; Takaaki Tsuchida; Kenji Eguchi; Masahiro Kaneko
Show Abstract
Automatic detection of anatomical regions in frontal x-ray images: comparing convolutional neural networks to random forest
Author(s): R. Olory Agomma; C. Vázquez; T. Cresson; J. De Guise
Show Abstract
Applying a CAD-generated imaging marker to assess short-term breast cancer risk
Author(s): Seyedehnafiseh Mirniaharikandehei; Ali Zarafshani; Morteza Heidari; Yunzhi Wang; Faranak Aghaei; Bin Zheng
Show Abstract
Asymmetry quantification from reflectance images of orthotic patients using structural similarity metrics
Author(s): Marc-Antoine Boucher; Nicolas Watts; Frederic Gremillet; Philippe Legare; Samuel Kadoury
Show Abstract
Quantitative characterization of liver tumor radiodensity in CT images: a phantom study between two scanners
Author(s): Benjamin Paul Berman; Qin Li; Sarah McKenney; Stanley Thomas Fricke; Yuan Fang; Marios A. Gavrielides; Nicholas Petrick
Show Abstract
Deep convolutional neural network for mammographic density segmentation
Author(s): Jun Wei; Songfeng Li; Heang-Ping Chan; Mark A. Helvie; Marilyn A. Roubidoux; Yao Lu; Chuan Zhou; Lubomir Hadjiiski; Ravi K. Samala
Show Abstract
Quantitative assessment for pneumoconiosis severity diagnosis using 3D CT images
Author(s): Koki Hino; Mikio Matsuhiro; Hidenobu Suzuki; Yoshiki Kawata; Noboru Niki; Katsuya Kato; Takumi Kishimoto; Kazuto Ashizawa
Show Abstract
Quantitative analysis of adipose tissue on chest CT to predict primary graft dysfunction in lung transplant recipients: a novel optimal biomarker approach
Author(s): Yubing Tong; Jayaram K. Udupa; Chuang Wang; Caiyun Wu; Gargi Pednekar; Michaela D. Restivo; David J. Lederer; Jason D. Christie; Drew A. Torigian
Show Abstract
Impact of deep learning on the normalization of reconstruction kernel effects in imaging biomarker quantification: a pilot study in CT emphysema
Author(s): Hyeongmin Jin; Changyong Heo; Jong Hyo Kim
Show Abstract
Lung parenchymal analysis on dynamic MRI in thoracic insufficiency syndrome to assess changes following surgical intervention
Author(s): Basavaraj N. Jagadale; Jayaram K. Udupa; Yubing Tong; Caiyun Wu; Joseph McDonough; Drew A. Torigian; Robert M. Campbell Jr.
Show Abstract
Applying a new mammographic imaging marker to predict breast cancer risk
Author(s): Faranak Aghaei; Gopichandh Danala; Alan B. Hollingsworth; Rebecca G. Stoug; Melanie Pearce; Hong Liu; Bin Zheng
Show Abstract
Quantitative CT based radiomics as predictor of resectability of pancreatic adenocarcinoma
Author(s): Joost van der Putten; Svitlana Zinger; Fons van der Sommen; Peter H. N. de With; Mathias Prokop; John Hermans
Show Abstract
Stability of deep features across CT scanners and field of view using a physical phantom
Author(s): Rahul Paul; Muhammad Shafiq-ul-Hassan; Eduardo G. Moros; Robert J. Gillies; Lawrence O. Hall; Dmitry B. Goldgof
Show Abstract
Temporal assessment of radiomic features on clinical mammography in a high-risk population
Author(s): Kayla R. Mendel; Hui Li; Li Lan; Chun-Wai Chan; Lauren M. King; Nabihah Tayob; Gary Whitman; Randa El-Zein; Isabelle Bedrosian; Maryellen L. Giger
Show Abstract
Deep radiomic prediction with clinical predictors of the survival in patients with rheumatoid arthritis-associated interstitial lung diseases
Author(s): Radin A. Nasirudina; Janne J. Näppi; Chinatsu Watari M.D.; Mikio Matsuhiro; Toru Hironaka; Shoji Kido M.D.; Hiroyuki Yoshida
Show Abstract
Radiomic biomarkers from PET/CT multi-modality fusion images for the prediction of immunotherapy response in advanced non-small cell lung cancer patients
Author(s): Wei Mu; Jin Qi; Hong Lu; Matthew Schabath; Yoganand Balagurunathan; Ilke Tunali; Robert James Gillies
Show Abstract
Classification of brain tumors using texture based analysis of T1-post contrast MR scans in a preclinical model
Author(s): Tien T. Tang; Janice A. Zawaski; Kathleen N. Francis; Amina A. Qutub; M. Waleed Gaber
Show Abstract
Radiomics for ultrafast dynamic contrast-enhanced breast MRI in the diagnosis of breast cancer: a pilot study
Author(s): Karen Drukker; Rachel Anderson; Alexandra Edwards; John Papaioannou; Fred Pineda; Hiroyuke Abe; Gregory Karzcmar; Maryellen L. Giger
Show Abstract
Reduction in training time of a deep learning model in detection of lesions in CT
Author(s): Nazanin Makkinejad; Nima Tajbakhsh; Amin Zarshenas; Ashfaq Khokhar; Kenji Suzuki
Show Abstract
The effects of variations in parameters and algorithm choices on calculated radiomics feature values: initial investigations and comparisons to feature variability across CT image acquisition conditions
Author(s): Nastaran Emaminejad; Muhammad Wahi-Anwar; John Hoffman; Grace H. Kim; Matthew S. Brown; Michael McNitt-Gray
Show Abstract

© SPIE. Terms of Use
Back to Top