Share Email Print
cover

PROCEEDINGS VOLUME 10950 • new

Medical Imaging 2019: Computer-Aided Diagnosis
For the purchase of this volume in printed format, please visit Proceedings.com

Volume Details

Volume Number: 10950
Estimated Publication Date: 21 March 2019

Table of Contents
show all abstracts | hide all abstracts
Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation
Author(s): Joris van Vugt; Elena Marchiori; Ritse Mann; Albert Gubern-Mérida; Nikita Moriakov; Jonas Teuwen
Show Abstract
Detecting mammographically-occult cancer in women with dense breasts using deep convolutional neural network and Radon cumulative distribution transform
Author(s): Juhun Lee; Robert M. Nishikawa
Show Abstract
Reducing overfitting of a deep learning breast mass detection algorithm in mammography using synthetic images
Author(s): Kenny H. Cha; Nicholas Petrick; Aria Pezeshk; Christian G. Graff; Diksha Sharma; Andreu Badal; Aldo Badano; Berkman Sahiner
Show Abstract
Deep learning for identifying breast cancer malignancy and false recalls: a robustness study on training strategy
Author(s): Kadie Clancy; Lei Zhang; Aly Mohamed; Sarah Aboutalib; Wendie Berg; Shandong Wu
Show Abstract
Evaluating deep learning techniques for dynamic contrast-enhanced MRI in the diagnosis of breast cancer
Author(s): Rachel Anderson; Hui Li; Yu Ji; Peifang Liu; Maryellen L. Giger
Show Abstract
Registration based detection and quantification of intracranial aneurysm growth
Author(s): Žiga Bizjak; Tim Jerman; Boštjan Likar; Franjo Pernuš; Aichi Chien; Žiga Špiclin
Show Abstract
Reliability of computer-aided diagnosis tools with multi-center MR datasets: impact of training protocol
Author(s): M. Bento ; R. Souza; M. Salluzzi; R. Frayne
Show Abstract
Automatic multi-modality segmentation of gross tumor volume for head and neck cancer radiotherapy using 3D U-Net
Author(s): Zhe Guo; Ning Guo; Kuang Gong; Quanzheng Li
Show Abstract
Automatic strategy for extraction of anthropometric measurements for the diagnostic and evaluation of deformational plagiocephaly from infant’s head models
Author(s): Bruno Oliveira; Helena R. Torres; Fernando Veloso; Estela Vilhena; Nuno F. Rodrigues; Jaime C. Fonseca; Pedro Morais; João L. Vilaça
Show Abstract
Radiomics of the lesion habitat on pre-treatment MRI predicts response to chemo-radiation therapy in Glioblastoma
Author(s): Ruchika Verma; Ramon Correa; Virginia Hill; Niha Beig; Abdelkader Mahammedi; Anant Madabhushi; Pallavi Tiwari
Show Abstract
Modeling normal brain asymmetry in MR images applied to anomaly detection without segmentation and data annotation
Author(s): Samuel Botter Martins; Barbara Caroline Benato; Bruna Ferreira Silva; Clarissa Lyn Yasuda; Alexandre Xavier Falcão
Show Abstract
Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing
Author(s): Bas H. M. van der Velden; Bob D. de Vos; Claudette E. Loo; Hugo J. Kuijf; Ivana Išgum; Kenneth G. A. Gilhuijs
Show Abstract
Multiview mammographic mass detection based on a single shot detection system
Author(s): Yinhao Ren; Rui Hou; Dehan Kong; Yue Geng; Lars J. Grimm; Jeffrey R. Marks; Joseph Y. Lo
Show Abstract
A deep learning method for volumetric breast density estimation from processed full field digital mammograms
Author(s): Doiriel Vanegas C.; Mahlet A. Birhanu; Nico Karssemeijer; Albert Gubern-Mérida; Michiel Kallenberg
Show Abstract
Breast density follow-up decision support system using deep convolutional models
Author(s): Sun Young Park; Dustin Sargent; David Richmond
Show Abstract
DCE-MRI based analysis of intratumor heterogeneity by decomposing method for prediction of HER2 status in breast cancer
Author(s): Peng Zhang; Ming Fan; Yuanzhe Li; Maosheng Xu; Lihua Li
Show Abstract
Association of computer-aided detection results and breast cancer risk
Author(s): Seyedehnafiseh Mirniaharikandehei; Morteza Heidari; Gopichandh Danala; Wei Qian; Yuchen Qiu; Bin Zheng
Show Abstract
Breast parenchyma analysis and classification for breast masses detection using texture feature descriptors and neural networks in dedicated breast CT images
Author(s): Marco Caballo; Jonas Teuwen; Ritse Mann; Ioannis Sechopoulos
Show Abstract
Visual evidence for interpreting diagnostic decision of deep neural network in computer-aided diagnosis
Author(s): Seong Tae Kim; Jae-Hyeok Lee; Yong Man Ro
Show Abstract
Automated measurement of fetal right-myocardial performance index from pulsed wave Doppler spectrum
Author(s): Rahul Suresh; Srinivasan Sivanandan; Nitin Singhal; JinYong Lee; Mi-Young Lee; Hye-Sung Won
Show Abstract
An ensemble of U-Net architecture variants for left atrial segmentation
Author(s): C. Wang; M. Rajchl; A. D. C. Chan; E. Ukwatta
Show Abstract
A deep learning approach to classify atherosclerosis using intracoronary optical coherence tomography
Author(s): Lambros S. Athanasiou; Max L. Olender; José M. de la Torre Hernandez; Eyal Ben-Assa; Elazer R. Edelman
Show Abstract
PHT-bot: a deep learning based system for automatic risk stratification of COPD patients based upon signs of pulmonary hypertension
Author(s): David Chettrit; Orna Bregman Amitai; Itamar Tamir; Amir Bar; Eldad Elnekave
Show Abstract
Identifying disease-free chest x-ray images with deep transfer learning
Author(s): Ken C. L. Wong; Mehdi Moradi; Joy Wu; Tanveer Syeda-Mahmood
Show Abstract
Analysis of deep convolutional features for detection of lung nodules in computed tomography
Author(s): Ravi K. Samala; Heang-Ping Chan; Caleb Richter; Lubomir Hadjiiski; Chuan Zhou; Jun Wei
Show Abstract
A combination of intra- and peritumoral features on baseline CT scans is associated with overall survival in non-small cell lung cancer patients treated with immune checkpoint inhibitors: a multi-agent multi-site study
Author(s): Mohammadhadi Khorrami; Mehdi Alilou; Prateek Prasanna; Pradnya Patil; Pirya Velu; Kaustav Bera; Pingfu Fu; Vamsidhar Velcheti; Anant Madabhushi
Show Abstract
Visualizing and explaining deep learning predictions for pneumonia detection in pediatric chest radiographs
Author(s): Sivaramakrishnan Rajaraman; Sema Candemir; George Thoma; Sameer Antani
Show Abstract
Artifact-driven sampling schemes for robust female pelvis CBCT segmentation using deep learning
Author(s): Annika Hänsch; Volker Dicken; Jan Klein; Tomasz Morgas; Benjamin Haas; Horst K. Hahn
Show Abstract
A probabilistic approach for interpretable deep learning in liver cancer diagnosis
Author(s): Clinton J. Wang; Charlie A. Hamm; Brian S. Letzen; James S. Duncan
Show Abstract
Combining deep learning methods and human knowledge to identify abnormalities in computed tomography (CT) reports
Author(s): Matias Benitez; James Tian; Mark Kelly; Vignesh Selvakumaran; Matthew Phelan; Maciej Mazurowski; Joseph Y. Lo; Geoffrey D. Rubin; Ricardo Henao
Show Abstract
Bladder cancer staging in CT urography: estimation and validation of decision thresholds for a radiomics-based decision support system
Author(s): Dhanuj Gandikota; Lubomir Hadjiiski; Heang-Ping Chan; Kenny H. Cha; Ravi Samala; Elaine M. Caoili; Richard H. Cohan; Alon Weizer; Ajjai Alva; Chintana Paramagul; Jun Wei; Chuan Zhou
Show Abstract
Automatic MR kidney segmentation for autosomal dominant polycystic kidney disease
Author(s): Guangrui Mu; Yiyi Ma; Miaofei Han; Yiqiang Zhan; Xiang Zhou; Yaozong Gao
Show Abstract
2D and 3D bladder segmentation using U-Net-based deep-learning
Author(s): Xiangyuan Ma; Lubomir Hadjiiski; Jun Wei; Heang-Ping Chan; Kenny Cha; Richard H. Cohan; Elaine M. Caoili; Ravi Samala; Chuan Zhou; Yao Lu
Show Abstract
Automatic anatomy partitioning of the torso region on CT images by using a deep convolutional network with majority voting
Author(s): Xiangrong Zhou; Takuya Kojima; Song Wang; Xinxin Zhou; Takeshi Hara; Taiki Nozaki; Masaki Matsusako; Hiroshi Fujita
Show Abstract
Automatic multi-organ segmentation in thorax CT images using U-Net-GAN
Author(s): Yang Lei; Yingzi Liu; Xue Dong; Sibo Tian; Tonghe Wang; Xiaojun Jiang; Kristin Higgins; Jonathan J. Beitler; David S. Yu; Tian Liu; Walter J. Curran; Yi Fang; Xiaofeng Yang
Show Abstract
Polyp segmentation and classification using predicted depth from monocular endoscopy
Author(s): Faisal Mahmood; Ziyun Yang; Richard Chen; Daniel Borders; Wenhao Xu; Nicholas J. Durr
Show Abstract
Computer-aided classification of colorectal polyps using blue-light and linked-color imaging
Author(s): Thom Scheeve; Ramon-Michel Schreuder; Fons van der Sommen; Joep E. G. IJspeert; Evelien Dekker; Erik J. Schoon; Peter H. N. De With
Show Abstract
Ensemble 3D residual network (E3D-ResNet) for reduction of false-positive polyp detections in CT colonography
Author(s): Tomoki Uemura; Janne J. Näppi; Huimin Lu; Hyoungseop Kim; Rie Tachibana; Toru Hironaka; Hiroyuki Yoshida
Show Abstract
A local geometrical metric-based model for polyp classification
Author(s): Weiguo Cao; Marc J. Pomeroy; Perry J. Pickhardt; Matthew A. Barish; Samuel Stanly III; Zhengrong Liang
Show Abstract
Polyp-size classification with RGB-D features for colonoscopy
Author(s): Hayato Itoh; Holger R. Roth; Yuichi Mori; Masashi Misawa; Masahiro Oda; Shin-ei Kudo; Kensaku Mori
Show Abstract
Handling label noise through model confidence and uncertainty: application to chest radiograph classification
Author(s): Erdi Calli; Ecem Sogancioglu; Ernst Th. Scholten; Keelin Murphy; Bram van Ginneken
Show Abstract
Classification of chest CT using case-level weak supervision
Author(s): Ruixiang Tang; Fakrul Islam Tushar; Songyue Han; Rui Hou; Geoffrey D. Rubin; Joseph Y. Lo
Show Abstract
Deep adversarial one-class learning for normal and abnormal chest radiograph classification
Author(s): Yu-Xing Tang; You-Bao Tang; Mei Han; Jing Xiao; Ronald M. Summers
Show Abstract
Image biomarkers for quantitative analysis of idiopathic interstitial pneumonia
Author(s): Young-Wouk Kim; Sebastián Roberto Tarando; Pierre-Yves Brillet; Catalin Fetita
Show Abstract
Effect of diversity of patient population and acquisition systems on the use of radiomics and machine learning for classification of 2,397 breast lesions
Author(s): Heather M. Whitney; Yu Ji; Hui Li; Alexandra Edwards; John Papaioannou; Peifang Liu; Maryellen L. Giger
Show Abstract
Radiogenomic characterization of response to chemo-radiation therapy in glioblastoma is associated with PI3K/AKT/mTOR and apoptosis signaling pathways
Author(s): Niha Beig; Prateek Prasanna; Virginia Hill; Ruchika Verma; Vinay Varadan; Anant Madabhushi; Pallavi Tiwari
Show Abstract
Identifying optimal input using multilevel radiomics and nested cross-validation for predicting pulmonary function in lung cancer patients treated with radiotherapy
Author(s): Sang Ho Lee; Peijin Han; Russell K. Hales; K. Ranh Voong; Todd R. McNutt; Junghoon Lee
Show Abstract
Texture-based prostate cancer classification on MRI: how does inter-class size mismatch affect measured system performance?
Author(s): R. Alfano; D. Soetemans; G. S. Bauman; M. Gaed; M. Moussa; J. A. Gomez; J. L. Chin; S. Pautler; A. D. Ward
Show Abstract
Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI
Author(s): Sukanya Iyer; Marwa Ismail; Benita Tamrazi; Ashley Margol; Ruchika Verma; Ramon Correa; Prateek Prasanna; Niha Beig; Kaustav Bera; Volodymyr Statsevych; Alexander Judkins; Anant Madabhushi; Pallavi Tiwari
Show Abstract
Quantitative vessel tortuosity radiomics on baseline non-contrast lung CT predict response to immunotherapy and are prognostic of overall survival
Author(s): Mehdi Alilou; Pranjal Vaidya; Mohammadhadi Khorrami; Alexia Zagouras; Pradnya Patil; Kaustav Bera; Pingfu Fu; Vamsidhar Velcheti; Anant Madabhushi
Show Abstract
The U-net and its impact to medical imaging (Conference Presentation)
Author(s): Bernardino Romera-Paredes
Show Abstract
Weakly-supervised deep learning of interstitial lung disease types on CT images
Author(s): Chenglong Wang; Takayasu Moriya; Yuichiro Hayashi; Holger Roth; Le Lu; Masahiro Oda; Hirotugu Ohkubo; Kensaku Mori
Show Abstract
Efficient learning in computer-aided diagnosis through label propagation
Author(s): Samuel Berglin; Eura Shin; Jacob Furst; Daniela Raicu
Show Abstract
Computer-aided CT image features improving the malignant risk prediction in pulmonary nodules suspicious for lung cancer
Author(s): Y. Kawata; N. Niki; M. Kusumoto; H. Ohmatsu; K. Aokage; G. Ishii; Y. Matsumoto; T. Tsuchida; K. Eguchi; M. Kaneko
Show Abstract
Augmenting LIDC dataset using 3D generative adversarial networks to improve lung nodule detection
Author(s): Chufan Gao; Stephen Clark; Jacob Furst; Daniela Raicu
Show Abstract
A semi-supervised CNN learning method with pseudo-class labels for vascular calcification detection on low dose CT scans
Author(s): Jiamin Liu; Jianhua Yao; Mohammadhadi Bagheri; Ronald M. Summers
Show Abstract
Variability in radiomics features among iDose4 reconstruction levels
Author(s): Joseph J. Foy; Mena Shenouda; Sahar Ramahi; Samuel G. Armato; Daniel Ginat
Show Abstract
Development and validation of a radiomics-based method for macrovascular invasion prediction in hepatocellular carcinoma with prognostic implication
Author(s): Jingwei Wei; Sirui Fu; Shauitong Zhang; Jie Zhang; Dongsheng Gu; Xiaoqun Li; Xudong Chen; Xiaofeng He; Jianfeng Yan; Ligong Lu; Jie Tian
Show Abstract
Efficient detection of vascular structures using locally connected filtering
Author(s): Amele Florence Kouvahe; Catalin Fetita
Show Abstract
Deep learning for automated screening and semantic segmentation of age-related and juvenile atrophic macular degeneration
Author(s): Ziyuan Wang; SriniVas R. Sadda; Zhihong Hu
Show Abstract
Improved interpretability for computer-aided severity assessment of retinopathy of prematurity
Author(s): Mara Graziani; James M. Brown; Vincent Andrearczyk; Veysi Yildiz; J. Peter Campbell; Deniz Erdogmus; Stratis Ioannidis; Michael F. Chiang; Jayashree Kalpathy-Cramer; Henning Müller
Show Abstract
Reproducibility of CT-based texture feature quantification of simulated and 3D-printed trabecular bone: influence of noise and reconstruction kernel
Author(s): Nada Kamona; Qin Li; Benjamin Berman; Berkman Sahiner; Nicholas Petrick
Show Abstract
Fusing attributes predicted via conditional GANs for improved skin lesion classification (Conference Presentation)
Author(s): Faisal Mahmood; Jeremiah Johnson; Ziyun Yang; Nicholas J. Durr
Show Abstract
Age prediction using a large chest x-ray dataset
Author(s): A. Karargyris; S. Kashyap; J. T. Wu; A. Sharma; M. Moradi; T. Syeda-Mahmood
Show Abstract
Using multi-task learning to improve diagnostic performance of convolutional neural networks
Author(s): Mengjie Fang; Di Dong; Ruijia Sun; Li Fan; Yingshi Sun; Shiyuan Liu; Jie Tian
Show Abstract
Stability of radiomic features of liver lesions from manual delineation in CT scans
Author(s): Jan Hendrik Moltz
Show Abstract
Use of convolutional neural networks to predict risk of masking by mammographic density
Author(s): Theo Cleland; James G. Mainprize; Olivier Alonzo-Proulx; Jennifer A. Harvey; Roberta A Jong; Anne L. Martel; Martin J. Yaffe
Show Abstract
A novel clinical gland feature for detection of early Barrett’s neoplasia using volumetric laser endomicroscopy
Author(s): Thom Scheeve; Maarten R. Struyvenberg; Wouter L. Curvers; Albert J. de Groof; Erik J. Schoon; Jacques J. G. H. M. Bergman; Fons van der Sommen; Peter H. N. de With
Show Abstract
Radiomics analysis potentially reduces over-diagnosis of prostate cancer with PSA levels of 4-10 ng/ml based on DWI data
Author(s): Shuaitong Zhang; Yafei Qi; Jingwei Wei; Jianxing Niu; Dongsheng Gu; Yuqi Han; Xiaohan Hao; Yali Zang; Jie Tian
Show Abstract
Homogenization of breast MRI across imaging centers and feature analysis using unsupervised deep embedding
Author(s): Ravi K. Samala; Heang-Ping Chan; Lubomir Hadjiiski; Chintana Paramagul; Mark A. Helvie; Colleen H. Neal
Show Abstract
Shape variation analyzer: a classifier for temporomandibular joint damaged by osteoarthritis
Author(s): Nina Tubau Ribera; Priscille de Dumast; Marilia Yatabe; Antonio Ruellas; Marcos Ioshida; Beatriz Paniagua; Martin Styner; João Roberto Gonçalves; Jonas Bianchi; Lucia Cevidanes; Juan-Carlos Prieto
Show Abstract
Automatic detection and localization of bone erosion in hand HR-pQCT
Author(s): Jintao Ren; Arash Moaddel H.; Ellen M. Hauge; Kresten K. Keller; Rasmus K. Jensen; François Lauze
Show Abstract
Spinal Vertebrae Segmentation and Localization by Transfer Learning
Author(s): Jiashi Zhao; Zhengang Jiang; Kensaku Mori; Liyuan Zhang; Wei He; Weili Shi; Yu Miao; Fei Yan; Fei He
Show Abstract
Ensembles of sparse classifiers for osteoporosis characterization in digital radiographs
Author(s): Keni Zheng; Rachid Jennane; Sokratis Makrogiannis
Show Abstract
Multiclass vertebral fracture classification using ensemble probability SVM with multi-feature selection
Author(s): Liyuan Zhang; Jiashi Zhao; Huamin Yang; Weili Shi; Yu Miao; Fei He; Wei He; Yanfang Li; Ke Zhang; Kensaku Mori; Zhengang Jiang
Show Abstract
Cranial localization in 2D cranial ultrasound images using deep neural networks
Author(s): Pooneh R. Tabrizi; Awais Mansoor; Rawad Obeid; Anna A. Penn; Marius George Linguraru
Show Abstract
Learning imbalanced semantic segmentation through cross-domain relations of multi-agent generative adversarial networks
Author(s): Mina Rezaei; Haojin Yang; Christoph Meinel
Show Abstract
Spatial and depth weighted neural network for diagnosis of Alzheimer’s disease
Author(s): Qingfeng Li; Quan Huo; Xiaodan Xing; Yiqiang Zhan; Xiang Sean Zhou; Feng Shi
Show Abstract
Study on discrimination of Alzheimer’s disease states using an ensemble neural network’s model
Author(s): Junsik Eom; Hanbyol Jang; Sewon Kim; Jinseong Jang; Dosik Hwang
Show Abstract
Feasibility study of deep neural networks to classify intracranial aneurysms using angiographic parametric imaging
Author(s): Mohammad Mahdi Shiraz Bhurwani; Alexander R. Podgorsak; Anusha Ramesh Chandra; Ryan A. Rava; Kenneth V. Snyder; Elad I. Levy; Jason M. Davies; Adnan H. Siddiqui; Ciprian N. Ionita
Show Abstract
Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas
Author(s): Yuqi Han; Zhen Xie; Yali Zang; Shuaitong Zhang; Dongsheng Gu; Jingwei Wei; Chao Li; Hongyan Chen; Jiang Du; Di Dong; Jie Tian; Dabiao Zhou
Show Abstract
Diagnosis of OCD using functional connectome and Riemann kernel PCA
Author(s): Xiaodan Xing; Lili Jin; Feng Shi; Ziwen Peng
Show Abstract
Evaluation of U-net segmentation models for infarct volume measurement in acute ischemic stroke: comparison with fixed ADC threshold-based methods
Author(s): Yoon-Chul Kim; Ji-Eun Lee; Inwu Yu; In-Young Baek; Han-Gil Jeong; Beom-Joon Kim; Joon-Kyung Seong; Jong-Won Chung; Oh Young Bang; Woo-Keun Seo
Show Abstract
Multi-path deep learning model for automated mammographic density categorization
Author(s): Xiangyuan Ma; Caleb Fisher; Jun Wei; Mark A. Helvie; Heang-Ping Chan; Chuan Zhou; Lubomir Hadjiiski; Yao Lu
Show Abstract
Exploratory learning with convolutional autoencoder for discrimination of architectural distortion in digital mammography
Author(s): Helder C. R. de Oliveira; Carlos F. E. Melo; Juliana H. Catani; Nestor de Barros; Marcelo A. da Costa Vieira
Show Abstract
Computationally-efficient wavelet-based characterization of breast tumors using conventional B-mode ultrasound images
Author(s): Manar N. Mahmoud; Muhammad A. Rushdi; Iman Ewais; Eman Hosny; Hanan Gewefel; Ahmed M. Mahmoud
Show Abstract
Breast dispersion imaging using undersampled rapid dynamic contrast-enhanced MRI
Author(s): Linxi Shi; Subashini Srinivasan; Brian Hargreaves; Bruce Daniel
Show Abstract
Deep Learning approach predicting breast tumor response to neoadjuvant treatment using DCE-MRI volumes acquired before and after chemotherapy
Author(s): Mohammed El Adoui; Mohamed Amine Larhmam; Stylianos Drisis; Mohammed Benjelloun
Show Abstract
Computer-aided detection and classification of microcalcification clusters on full field digital mammograms using deep convolution neural network
Author(s): Guanxiong Cai; Yanhui Guo; Weiguo Chen; Hui Zeng; Yuanpin Zhou; Yao Lu
Show Abstract
Associations between mammographic phenotypes and histopathologic features in ductal carcinoma in situ
Author(s): Ruvini Navaratna; Aimilia Gastounioti; Meng-Kang Hsieh; Lauren Pantalone; Marie Shelanski; Emily F. Conant; Despina Kontos
Show Abstract
Synthesis and texture manipulation of screening mammograms using conditional generative adversarial network
Author(s): Dehan Kong; Yinhao Ren; Rui Hou; Lars J. Grimm; Jeffrey R. Marks; Joseph Y. Lo
Show Abstract
Breast MRI radiomics for the pre-treatment prediction of response to neoadjuvant chemotherapy in node-positive breast cancer patients
Author(s): Karen Drukker; Iman El-Bawab; Alexandra Edwards; Christopher Doyle; John Papaioannou; Kirti Kulkarni; Maryellen L. Giger
Show Abstract
Developing a new quantitative imaging marker to predict pathological complete response to neoadjuvant chemotherapy
Author(s): Faranak Aghaei; Alan B. Hollingsworth; Seyedehnafiseh Mirniaharikandehei; Yunzhi Wang; Hong Liu; Bin Zheng
Show Abstract
Deep learning of sub-regional breast parenchyma in mammograms for localized breast cancer risk prediction
Author(s): Giacomo Nebbia; Aly Mohamed; Ruimei Chai; Bingjie Zheng; Margarita Zuley; Shandong Wu
Show Abstract
Malignant microcalcification clusters detection using unsupervised deep autoencoders
Author(s): Rui Hou; Yinhao Ren; Lars J. Grimm; Maciej A. Mazurowski; Jeffrey R. Marks; Lorraine King; Carlo C. Maley; E. Shelley Hwang; Joseph Y. Lo
Show Abstract
Automated deep-learning method for whole-breast segmentation in diffusion-weighted breast MRI
Author(s): Lei Zhang; Ruimei Chai; Aly A. Mohamed; Bingjie Zheng; Zhimeng Luo; Shandong Wu
Show Abstract
A shell and kernel descriptor based joint deep learning model for predicting breast lesion malignancy
Author(s): Zhiguo Zhou; Genggeng Qin; Pingkun Yan; Hongxia Hao; Steve Jiang; Jing Wang
Show Abstract
Automatic cell segmentation using mini-u-net on fluorescence in situ hybridization images
Author(s): Jianhuo Shen; Teng Li; Chuanrui Hu; Hong He; Jianfei Liu
Show Abstract
Polyp classification by Weber’s Law as texture descriptor for clinical colonoscopy
Author(s): Yi Wang; Marc Pomeroy; Weiguo Cao; Yongfeng Gao; Edward Sun; Samuel Stanley III; Zhengrong Liang; Juan Carlos Bucobo
Show Abstract
Improved polyp classification by inclusion of the surrounding colon wall textures
Author(s): Marc Pomeroy; Almas Abbasi; Kevin Baker; Matthew A. Barish; Samuel Stanley; Kenneth Ng; Perry J. Pickhardt; Zhengrong Liang
Show Abstract
The detection of non-polypoid colorectal lesions using the texture feature extracted from intact colon wall: a pilot study
Author(s): Hainan Sang; Jiang Meng; Yang Liu; Zhengrong Liang; Hongbing Lu
Show Abstract
Differentiation of polyps by clinical colonoscopy via integrated color information, image derivatives and machine learning
Author(s): Yi Wang; Marc Pomeroy; Weiguo Cao; Yongfeng Gao; Edward Sun; Samuel Stanley III; Juan Carlos Bucobo; Zhengrong Liang
Show Abstract
Early detection of retinopathy of prematurity stage using deep learning approach
Author(s): Supriti Mulay; Keerthi Ram; Mohanasankar Sivaprakasam; Anand Vinekar
Show Abstract
Longitudinal matching of in vivo adaptive optics images of fluorescent cells in the human eye using stochastically consistent superpixels
Author(s): Jianfei Liu; HaeWon Jung; Tao Liu; Johnny Tam
Show Abstract
Computer-based detection of age-related macular degeneration and glaucoma using retinal images and clinical data
Author(s): Vinayak Joshi; Jeffrey Wigdahl; Jeremy Benson; Sheila Nemeth; Peter Soliz
Show Abstract
Fully-automated segmentation of optic disk from retinal images using deep learning techniques
Author(s): F. Zabihollahy; E. Ukwatta
Show Abstract
Deep learning-based detection of anthropometric landmarks in 3D infants head models
Author(s): Helena R. Torres; Bruno Oliveira; Fernando Veloso; Mario Ruediger; Wolfram Burkhardt; António Moreira; Nuno Dias; Pedro Morais; Jaime C. Fonseca; João L. Vilaça
Show Abstract
Quantitative evaluation of local head malformations from 3 dimensional photography: application to craniosynostosis
Author(s): Liyun Tu; Antonio R. Porras; Albert Oh; Natasha Lepore; Graham C. Buck; Deki Tsering; Andinet Enquobahrie; Robert Keating; Gary F. Rogers; Marius George Linguraru
Show Abstract
Predicting resection volumes within the nasal cavity to improve patients breathing
Author(s): Manuel Berger; Martin Pillei; Andreas Mehrle; Wolfgang Recheis; Florian Kral; Michael Kraxner; Wolfgang Freysinger
Show Abstract
Automated scoring of aortic calcification in vertebral fracture assessment images
Author(s): Luke Chaplin; Tim Cootes
Show Abstract
Detection and classification of coronary artery calcifications in low dose thoracic CT using deep learning
Author(s): Jordan Fuhrman; Jennie Crosby; Rowena Yip; Claudia I. Henschke; David F. Yankelevitz; Maryellen L. Giger
Show Abstract
Computerized identification of early ischemic changes in acute stroke in noncontrast CT using deep learning
Author(s): Noriyuki Takahashi; Yuki Shinohara; Toshibumi Kinoshita; Tomomi Ohmura; Keisuke Matsubara; Yongbum Lee; Hideto Toyoshima
Show Abstract
Fully automated segmentation of left ventricular myocardium from 3D late gadolinium enhancement magnetic resonance images using a U-net convolutional neural network-based model
Author(s): Fatemeh Zabihollahy; James A. White; Eranga Ukwatta
Show Abstract
Deep learning based bladder cancer treatment response assessment
Author(s): Eric Wu; Lubomir M. Hadjiiski; Ravi K. Samala; Heang-Ping Chan; Kenny H. Cha; Caleb Richter; Richard H. Cohan; Elaine M. Caoili; Chintana Paramagul; Ajjai Alva; Alon Z. Weizer
Show Abstract
Deep learning convolutional neural networks for the estimation of liver fibrosis severity from ultrasound texture
Author(s): Alex Treacher; Daniel Beauchamp; Bilal Quadri; David Fetzer; Abhinav Vij; Takeshi Yokoo; Albert Montillo
Show Abstract
Automated identification of thoracic pathology from chest radiographs with enhanced training pipeline
Author(s): Adora M. DSouza; Anas Z. Abidin; Axel Wismüller
Show Abstract
3D fully convolutional network-based segmentation of lung nodules in CT images with a clinically inspired data synthesis method
Author(s): Atsushi Yaguchi; Kota Aoyagi; Akiyuki Tanizawa; Yoshiharu Ohno
Show Abstract
A lung graph model for the classification of interstitial lung diseases on CT images
Author(s): Guillaume Vanoost; Yashin Dicente Cid; Daniel Rubin; Adrien Depeursinge
Show Abstract
Improving pulmonary lobe segmentation on expiratory CTs by using aligned inspiratory CTs
Author(s): Oliver Weinheimer; Mark O. Wielpütz; Philip Konietzke; Claus P. Heussel; Hans-Ulrich Kauczor; Terry E. Robinson; Craig J. Galbán
Show Abstract
Pre-trained deep convolutional neural networks for the segmentation of malignant pleural mesothelioma tumor on CT scans
Author(s): Eyjolfur Gudmundsson; Christopher M. Straus; Samuel G. Armato
Show Abstract
Artificial intelligence for point of care radiograph quality assessment
Author(s): Satyananda Kashyap; Mehdi Moradi; Alexandros Karargyris; Joy T. Wu; Michael Morris; Babak Saboury; Eliot Siegel; Tanveer Syeda-Mahmood
Show Abstract
Exploring features towards semantic characterization of lung nodules in computed tomography images
Author(s): Maysa M. G. Macedo; Dario A. B. Oliveira
Show Abstract
Lung segmentation based on a deep learning approach for dynamic chest radiography
Author(s): Yuki Kitahara; Rie Tanaka; Holger R. Roth; Hirohisa Oda; Kensaku Mori; Kazuo Kasahara; Isao Matsumoto
Show Abstract
Computer-aided detection using non-convolutional neural network Gaussian processes
Author(s): Devanshu Agrawal; Hong-Jun Yoon; Georgia Tourassi; Jacob D. Hinkle
Show Abstract
2.5D CNN model for detecting lung disease using weak supervision
Author(s): Yue Geng; Yinhao Ren; Rui Hou; Songyue Han; Geoffrey D. Rubin; Joseph Y. Lo
Show Abstract
Lung nodule retrieval using semantic similarity estimates
Author(s): Mark Loyman; Hayit Greenspan
Show Abstract
Predicting unnecessary nodule biopsy for a small lung cancer screening dataset by less-abstractive deep features
Author(s): Fangfang Han; Linkai Yan; Chen Li; Shouliang Qi; William Moore; Zhengrong Liang; Wei Qian
Show Abstract
Lung tissue characterization for emphysema differential diagnosis using deep convolutional neural networks
Author(s): Mohammadreza Negahdar; David Beymer
Show Abstract
Fine-grained lung nodule segmentation with pyramid deconvolutional neural network
Author(s): Xinzhuo Zhao; Wenqing Sun; Wei Qian; Shouliang Qi; Jianjun Sun; Bo Zhang; Zhigang Yang
Show Abstract
Similar CT image retrieval method based on lesion nature and their three-dimensional distribution
Author(s): Yasutaka Moriwaki; Nobuhiro Miyazaki; Hiroaki Takebe; Takayuki Baba; Hiroaki Terada; Toru Higaki; Kazuo Awai; Machiko Nakagawa; Akio Ozawa; Kennji Kitayama; Yasuharu Ogino
Show Abstract
Metastatic lymph node analysis of colorectal cancer using quadruple-phase CT images
Author(s): Keisuke Bando; Ren Nishimoto; Mikio Matsuhiro; Hidenobu Suzuki; Yoshiki Kawata; Noboru Niki; Gen Iinuma
Show Abstract
CT-realistic data augmentation using generative adversarial network for robust lymph node segmentation
Author(s): Youbao Tang; Sooyoun Oh; Yu-Xing Tang; Jing Xiao; Ronald M. Summers
Show Abstract
Transfer learning for automatic cancer tissue detection using multispectral photoacoustic imaging
Author(s): Kamal Jnawali; Bhargava Chinni; Vikram Dogra; Navalgund Rao
Show Abstract
Automatic MRI prostate segmentation using 3D deeply supervised FCN with concatenated atrous convolution
Author(s): Bo Wang; Yang Lei; Jiwoong Jason Jeong; Tonghe Wang; Yingzi Liu; Sibo Tian; Pretesh Patel; Xiaojun Jiang; Ashesh B. Jani; Hui Mao; Walter J. Curran; Tian Liu; Xiaofeng Yang
Show Abstract
Radiomic features derived from pre-operative multi-parametric MRI of prostate cancer are associated with Decipher risk score
Author(s): Lin Li; Rakesh Shiradkar; Ahmad Algohary; Patrick Leo; Cristina Magi-Galluzzi; Eric Klein; Andrei Purysko; Anant Madabhushi
Show Abstract
Towards deep radiomics: nodule malignancy prediction using CNNs on feature images
Author(s): Rahul Paul; Dmitry Cherezov; Matthew B. Schabath; Robert J. Gillies; Lawrence O. Hall; Dmitry B. Goldgof
Show Abstract
Radiomics analysis on T2-MR image to predict lymphovascular space invasion in cervical cancer
Author(s): Shou Wang; Xi Chen; Zhenyu Liu; Qingxia Wu; Yongbei Zhu; Meiyun Wang; Jie Tian
Show Abstract
Temporal mammographic registration for evaluation of architecture changes in cancer risk assessment
Author(s): Kayla Mendel; Hui Li; Nabihah Tayob; Randa El-Zein; Isabelle Bedrosian; Maryellen Giger
Show Abstract
PI-RADS guided discovery radiomics for characterization of prostate lesions with diffusion-weighted MRI
Author(s): Farzad Khalvati; Yucheng Zhang; Phuong H. U. Le; Isha Gujrathi; Masoom A. Haider
Show Abstract
Non-invasive transcriptomic classification of de novo Glioblastoma patients through multivariate quantitative analysis of baseline preoperative multimodal magnetic resonance imaging
Author(s): Saima Rathore; Hamed Akbari; Spyridon Bakas; Jared Pisapia; Xiao Da; Donald M. O’Rourke; Christos Davatzikos
Show Abstract
Radiomics analysis of MRI for predicting molecular subtypes of breast cancer in young women
Author(s): Qinmei Li; James Dormer; Priyanka Daryani; Deji Chen; Zhenfeng Zhang; Baowei Fei
Show Abstract
General purpose radiomics for multi-modal clinical research
Author(s): Michael G. Wels; Félix Lades; Alexander Muehlberg; Michael Suehling
Show Abstract
Quantitative MRI biomarker for treatment response assessment of multiple myeloma: robustness evaluation using independent test set of prospective cases
Author(s): Chuan Zhou; Qian Dong; Heang-Ping Chan; Erica L. Campagnaro; Jun Wei; Lubomir M. Hadjiiski
Show Abstract
Machine-learning-based classification of Glioblastoma using MRI-based radiomic features
Author(s): Ge Cui; Jiwoong Jason Jeong; Yang Lei; Tonghe Wang; Tian Liu; Walter J. Curran; Hui Mao; Xiaofeng Yang
Show Abstract
Prediction of low-grade glioma progression using MR imaging
Author(s): Zeina A. Shboul; Khan M. Iftekharuddin
Show Abstract
Radiomics and deep learning of diffusion-weighted MRI in the diagnosis of breast cancer
Author(s): Qiyuan Hu; Heather M. Whitney; Alexandra Edwards; John Papaioannou; Maryellen L. Giger
Show Abstract
Acral melanocytic lesion segmentation with a convolution neural network (U-Net)
Author(s): Joanna Jaworek-Korjakowska
Show Abstract
Dose distribution as outcome predictor for Gamma Knife radiosurgery on vestibular schwannoma
Author(s): P. P. J. H. Langenhuizen; H. van Gorp; S. Zinger; J. Verheul; S. Leenstra; P. H. N. de With
Show Abstract
Learning-based automatic segmentation on arteriovenous malformations from contract-enhanced CT images
Author(s): Tonghe Wang; Yang Lei; Ghazal Shafai-Erfani; Xiaojun Jiang; Xue Dong; Jun Zhou; Tian Liu; Walter J. Curran; Xiaofeng Yang; Hui-Kuo Shu
Show Abstract
Use of a convolutional neural network for aneurysm identification in digital subtraction angiography
Author(s): Alexander R. Podgoršak; Mohammad Mahdi Bhurwani; Ryan A. Rava; Anusha R. Chandra; Ciprian N. Ionita
Show Abstract
U-Net based automatic carotid plaque segmentation from 3D ultrasound images
Author(s): Ran Zhou; Wei Ma; Aaron Fenster; Mingyue Ding
Show Abstract
Machine learning for segmenting cells in corneal endothelium images
Author(s): Chaitanya Kolluru; Beth A. Benetz; Naomi Joseph; Harry J. Menegay; Jonathan H. Lass; David Wilson
Show Abstract
Classifying abnormalities in computed tomography radiology reports with rule-based and natural language processing models
Author(s): Songyue Han; James Tian; Mark Kelly; Vignesh Selvakumaran; Ricardo Henao; Geoffrey D. Rubin; Joseph Y. Lo
Show Abstract
Patient-specific outcome simulation after surgical correction of Pectus Excavatum: a preliminary study
Author(s): Mafalda Couto; João Gomes-Fonseca; António H. J. Moreira; Tiago Henriques-Coelho; Jaime C. Fonseca; António C. M. Pinho; Jorge Correia-Pinto; João L. Vilaça
Show Abstract

© SPIE. Terms of Use
Back to Top