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Computer-Aided Diagnosis 2017: Orlando, Florida, USA
- Samuel G. Armato III, Nicholas A. Petrick:
Medical Imaging 2017: Computer-Aided Diagnosis, Orlando, Florida, United States, 11-16 February 2017. SPIE Proceedings 10134, SPIE 2017, ISBN 9781510607132 - Front Matter: Volume 10134. 1013401
Pelvis
- Marshall Gordon, Lubomir M. Hadjiiski
, Kenny H. Cha
Segmentation of inner and outer bladder wall using deep-learning convolutional neural network in CT urography. 1013402 - Kenny H. Cha
Computer-aided detection of bladder masses in CT urography (CTU). 1013403 - Kenny H. Cha
Bladder cancer treatment response assessment using deep learning in CT with transfer learning. 1013404 - Yohannes K. Tsehay, Nathan S. Lay, Holger R. Roth
Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images. 1013405 - Antonio R. Porras
Quantification of oxygen changes in the placenta from BOLD MR image sequences. 1013406
Lung I
- Sebastian Roberto Tarando, Catalin I. Fetita, Pierre-Yves Brillet
Cascade of convolutional neural networks for lung texture classification: overcoming ontological overlapping. 1013407 - Yiting Xie, Mary Salvatore, Shuang Liu, Artit C. Jirapatnakul
Identification of early-stage usual interstitial pneumonia from low-dose chest CT scans using fractional high-density lung distribution. 1013408 - Sardar Hamidian, Berkman Sahiner, Nicholas Petrick, Aria Pezeshk:
3D convolutional neural network for automatic detection of lung nodules in chest CT. 1013409 - Ling Fu, Jingchen Ma
Automatic detection of lung nodules: false positive reduction using convolution neural networks and handcrafted features. 101340A - Nastaran Emaminejad
The effects of slice thickness and radiation dose level variations on computer-aided diagnosis (CAD) nodule detection performance in pediatric chest CT scans. 101340B - Ryosuke Kamesawa, Issei Sato, Shouhei Hanaoka, Yukihiro Nomura
Lung lesion detection in FDG-PET/CT with Gaussian process regression. 101340C
Colon and GI
- Sander Klomp
Evaluation of image features and classification methods for Barrett's cancer detection using VLE imaging. 101340D - Rie Tachibana, Janne J. Näppi, Toru Hironaka, Se Hyung Kim, Hiroyuki Yoshida:
Deep multi-spectral ensemble learning for electronic cleansing in dual-energy CT colonography. 101340E - Patrick Brandao, Evangelos B. Mazomenos
Fully convolutional neural networks for polyp segmentation in colonoscopy. 101340F - Kensuke Umehara
Deep ensemble learning of virtual endoluminal views for polyp detection in CT colonography. 101340G - Janne J. Näppi
Deep learning of contrast-coated serrated polyps for computer-aided detection in CT colonography. 101340H - Harmanpreet Singh, Lihong C. Li, Marc Jason Pomeroy, Perry J. Pickhardt, Matthew A. Barish
A study of oral contrast coating on the surface of polyps: an implication for computer-aided detection and classification of polyps. 101340I - Fernando J. Navarro-Avila, Yadira Saint-Hill-Febles, Janis Renner, Peter Klare, Stefan von Delius, Nassir Navab, Diana Mateus
Computer assisted optical biopsy for colorectal polyps. 101340J
Cardiac
- Ahmed H. Dallal
Automatic estimation of heart boundaries and cardiothoracic ratio from chest x-ray images. 101340K - Yiting Xie, Shuang Liu, Albert Miller, Jeffrey A. Miller, Steven Markowitz, Ali Akhund, Anthony P. Reeves:
Coronary artery calcification identification and labeling in low-dose chest CT images. 101340L - Xiuming Liu, Shice Wang, Yufeng Deng, Kuan Chen:
Coronary artery calcification (CAC) classification with deep convolutional neural networks. 101340M - Mohammadreza Negahdar, Mehdi Moradi, Nripesh Parajuli
Automatic extraction of disease-specific features from Doppler images. 101340N - Guang Yang, Xiahai Zhuang
Differentiation of pre-ablation and post-ablation late gadolinium-enhanced cardiac MRI scans of longstanding persistent atrial fibrillation patients. 101340O
Breast I
- Jun Wei, Heang-Ping Chan
Radiomic modeling of BI-RADS density categories. 101340P - Juhun Lee
Neutrosophic segmentation of breast lesions for dedicated breast CT. 101340Q - Shuang Liu, Laurie R. Margolies, Yiting Xie, David F. Yankelevitz, Claudia I. Henschke, Anthony P. Reeves:
Fully automated breast density assessment from low-dose chest CT. 101340R - Andrew Oustimov, Aimilia Gastounioti, Meng-Kang Hsieh, Lauren Pantalone, Emily F. Conant, Despina Kontos:
Convolutional neural network approach for enhanced capture of breast parenchymal complexity patterns associated with breast cancer risk. 101340S - Ravi K. Samala
Identifying key radiogenomic associations between DCE-MRI and micro-RNA expressions for breast cancer. 101340T - Benjamin Q. Huynh
Comparison of breast DCE-MRI contrast time points for predicting response to neoadjuvant chemotherapy using deep convolutional neural network features with transfer learning. 101340U
Liver and Abdomen
- Davide Boschetto, Enrico Grisan
Superpixel-based classification of gastric chromoendoscopy images. 101340W - Lior Gazit, Jayasree Chakraborty, Marc A. Attiyeh
Quantification of CT images for the classification of high- and low-risk pancreatic cysts. 101340X - Bogdan Dzyubak
Automated liver elasticity calculation for 3D MRE. 101340Y - Qin Li, Benjamin P. Berman, Justin Schumacher
The effects of iterative reconstruction in CT on low-contrast liver lesion volumetry: a phantom study. 101340Z - Jayasree Chakraborty, Jian Zheng, Mithat Gönen, William R. Jarnagin, Ronald P. DeMatteo, Richard K. G. Do
Preoperative assessment of microvascular invasion in hepatocellular carcinoma. 1013410
Musculoskeletal and Dermatology
- Luca Minciullo, Jessie Thomson, Timothy F. Cootes
Combination of lateral and PA view radiographs to study development of knee OA and associated pain. 1013411 - Botao Deng, Anas Z. Abidin
Characterizing cartilage microarchitecture on phase-contrast x-ray computed tomography using deep learning with convolutional neural networks. 1013412 - Anas Z. Abidin
Classification of micro-CT images using 3D characterization of bone canal patterns in human osteogenesis imperfecta. 1013413 - Md Mahmudur Rahman, Nuh Alpaslan
Automated melanoma recognition in dermoscopic images based on extreme learning machine (ELM). 1013414
Keynote and Reviewers' Choice
- Kyle J. Myers:
FDA's role in the innovation and evaluation of evolving CAD solutions (Conference Presentation). 1013415 - Gabriel Efrain Humpire Mamani
Organ detection in thorax abdomen CT using multi-label convolutional neural networks. 1013416 - Aimilia Gastounioti, Andrew Oustimov, Meng-Kang Hsieh, Lauren Pantalone, Emily F. Conant, Despina Kontos:
Mammographic phenotypes of breast cancer risk driven by breast anatomy. 1013417
Vessels
- Maaike A. Koenrades, Ella M. Struijs, Almar Klein, Henny Kuipers, Robert H. Geelkerken, Cornelis H. Slump:
Validation of an image registration and segmentation method to measure stent graft motion on ECG-gated CT using a physical dynamic stent graft model. 1013418 - Catalin I. Fetita, Thierry Fortemps de Loneux, Amélé Florence Kouvahe, Mostafa El Hajjam
Automatic detection and quantification of pulmonary arterio-venous malformations in hereditary hemorrhagic telangiectasia. 1013419 - Jiamin Liu, Le Lu
Pelvic artery calcification detection on CT scans using convolutional neural networks. 101341A - Renzo Phellan, Thomas Lindner, Alexandre X. Falcão
Vessel segmentation in 4D arterial spin labeling magnetic resonance angiography images of the brain. 101341B - Hamidreza Rajabzadeh-Oghaz, Nicole Varble
Computer-assisted adjuncts for aneurysmal morphologic assessment: toward more precise and accurate approaches. 101341C - Hirohisa Oda, Kanwal K. Bhatia, Masahiro Oda
Hessian-assisted supervoxel: structure-oriented voxel clustering and application to mediastinal lymph node detection from CT volumes. 101341D
Breast II
- Thijs Kooi, Jan-Jurre Mordang, Nico Karssemeijer:
Conditional random field modelling of interactions between findings in mammography. 101341E - Karen Drukker
Deep learning and three-compartment breast imaging in breast cancer diagnosis. 101341F - Natasha Antropova, Benjamin Q. Huynh, Maryellen L. Giger:
Performance comparison of deep learning and segmentation-based radiomic methods in the task of distinguishing benign and malignant breast lesions on DCE-MRI. 101341G - Guy Amit, Rami Ben-Ari, Omer Hadad, Einat Monovich, Noa Granot, Sharbell Y. Hashoul:
Classification of breast MRI lesions using small-size training sets: comparison of deep learning approaches. 101341H - Bibo Shi, Lars J. Grimm
Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features. 101341I - Thijs Kooi, Nico Karssemeijer:
Deep learning of symmetrical discrepancies for computer-aided detection of mammographic masses. 101341J
Eye
- Teresa Araujo
Estimation of retinal vessel caliber using model fitting and random forests. 101341K - Ana Maria Mendonça
Automatic and semi-automatic approaches for arteriolar-to-venular computation in retinal photographs. 101341L - Anastasia Levenkova, Arcot Sowmya, Michael Kalloniatis
Automatic detection of diabetic retinopathy features in ultra-wide field retinal images. 101341M - Kedir M. Adal, Peter G. van Etten, Jose P. Martinez, Kenneth Rouwen, Koenraad A. Vermeer
Detection of retinal changes from illumination normalized fundus images using convolutional neural networks. 101341N - Awais Mansoor, Ien Li
Joint deep shape and appearance learning: application to optic pathway glioma segmentation. 101341O
Brain
- David Paredes, Ashirbani Saha, Maciej A. Mazurowski:
Deep learning for segmentation of brain tumors: can we train with images from different institutions? 101341P - Hongwei Wen
Multi-threshold white matter structural networks fusion for accurate diagnosis of Tourette syndrome children. 101341Q - Nathan Olliverre, Muhammad Asad, Guang Yang, Franklyn A. Howe, Gregory G. Slabaugh
Pairwise mixture model for unmixing partial volume effect in multi-voxel MR spectroscopy of brain tumour patients. 101341R - Xi Zhang, Qiang Tian, Yuxia Wu, Xiaopan Xu, Baojuan Li, Yi-Xiong Liu, Yang Liu, Hongbing Lu:
IDH mutation assessment of glioma using texture features of multimodal MR images. 101341S - Maciej A. Mazurowski, Kal Clark, Nicholas M. Czarnek
Radiogenomic analysis of lower grade glioma: a pilot multi-institutional study shows an association between quantitative image features and tumor genomics. 101341T - Niha G. Beig
Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastoma. 101341U - Jens Petersen, Martin Bendszus, Jürgen Debus, Sabine Heiland, Klaus H. Maier-Hein:
Effective user guidance in online interactive semantic segmentation. 101341V
Head and Neck
- Hansang Lee, Minseok Park, Junmo Kim:
Cephalometric landmark detection in dental x-ray images using convolutional neural networks. 101341W - Çaglar Senaras
Autoscope: automated otoscopy image analysis to diagnose ear pathology and use of clinically motivated eardrum features. 101341X - Mirek Janatka, Krishan S. Ramdoo, Taran Tatla, Krittin Pachtrachai, Daniel S. Elson
Examining in vivo tympanic membrane mobility using smart phone video-otoscopy and phase-based Eulerian video magnification. 101341Y - Lubomir M. Hadjiiski
Radiomics biomarkers for accurate tumor progression prediction of oropharyngeal cancer. 101341Z - Ajay Patel, Sil C. van de Leemput, Mathias Prokop
Automatic cerebrospinal fluid segmentation in non-contrast CT images using a 3D convolutional network. 1013420
Lung II
- Rafael Wiemker, Merlijn Sevenster, Heber MacMahon, Feng Li, Sandeep Dalal, Amir Tahmasebi, Tobias Klinder:
Automated assessment of imaging biomarkers for the PanCan lung cancer risk prediction model with validation on NLST data. 1013421 - Chuan Zhou, Heang-Ping Chan
Quantitative analysis of CT attenuation distribution patterns of nodule components for pathologic categorization of lung nodules. 1013422 - Haeil Lee, Hansang Lee, Minseok Park, Junmo Kim:
Contextual convolutional neural networks for lung nodule classification using Gaussian-weighted average image patches. 1013423 - Xiuli Li, Yueying Kao
Lung nodule malignancy prediction using multi-task convolutional neural network. 1013424 - Matthew C. Hancock, Jerry F. Magnan:
Predictive capabilities of statistical learning methods for lung nodule malignancy classification using diagnostic image features: an investigation using the Lung Image Database Consortium dataset. 1013425 - Dongdong Yu, Yali Zang
Developing a radiomics framework for classifying non-small cell lung carcinoma subtypes. 1013426
PROSTATEx Challenge
- Andy Kitchen, Jarrel Seah:
Support vector machines for prostate lesion classification. 1013427 - Saifeng Liu
Prostate cancer diagnosis using deep learning with 3D multiparametric MRI. 1013428 - Jarrel C. Y. Seah, Jennifer S. N. Tang, Andy Kitchen:
Detection of prostate cancer on multiparametric MRI. 1013429 - Alireza Mehrtash
Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks. 101342A
Posters: Brain
- Fermín Segovia, Diego Salas-Gonzalez
Analysis of 18F-DMFP-PET data using Hidden Markov Random Field and the Gaussian distribution to assist the diagnosis of Parkinsonism. 101342B - Noriyuki Takahashi, Toshibumi Kinoshita, Tomomi Ohmura, Eri Matsuyama, Hideto Toyoshima:
Automated method to compute Evans index for diagnosis of idiopathic normal pressure hydrocephalus on brain CT images. 101342C - Juan Manuel Górriz, Javier Ramírez
Case-based statistical learning applied to SPECT image classification. 101342D - Kaoutar Ben Ahmed
Fine-tuning convolutional deep features for MRI based brain tumor classification. 101342E - Syeda Maryam, Laura McCrackin, Mark Crowley
Application of probabilistically weighted graphs to image-based diagnosis of Alzheimer's disease using diffusion MRI. 101342F - Krishna N. Keshavamurthy, Owen P. Leary
Machine learning algorithm for automatic detection of CT-identifiable hyperdense lesions associated with traumatic brain injury. 101342G - Sahand Talai, Kai Boelmans, Jan Sedlacik, Nils Daniel Forkert:
Automatic classification of patients with idiopathic Parkinson's disease and progressive supranuclear palsy using diffusion MRI datasets. 101342H - Kevin P. Gaffney, Faranak Aghaei, James Battiste, Bin Zheng:
Automated detection and quantification of residual brain tumor using an interactive computer-aided detection scheme. 101342I - Mohammadhassan Izadyyazdanabadi, Evgenii Belykh
Improving utility of brain tumor confocal laser endomicroscopy: objective value assessment and diagnostic frame detection with convolutional neural networks. 101342J - Javier Villafruela, Sebastian Crites, Bastian Cheng, Christian Knaack, Götz Thomalla
Automatic classification of cardioembolic and arteriosclerotic ischemic strokes from apparent diffusion coefficient datasets using texture analysis and deep learning. 101342K - Linmin Pei
Improved brain tumor segmentation by utilizing tumor growth model in longitudinal brain MRI. 101342L
Posters: Breast
- Ricardo de Lima Thomaz, Pedro Cunha Carneiro, Ana Claudia Patrocinio:
Feature extraction using convolutional neural network for classifying breast density in mammographic images. 101342M - Patricia B. Ribeiro, João P. Papa, Roseli A. F. Romero:
An ensemble-based approach for breast mass classification in mammography images. 101342N - Chul Kyun Ahn
A novel deep learning-based approach to high accuracy breast density estimation in digital mammography. 101342O - Joseph Ryan Wong Sik Hee, Elaine F. Harkness, Soujanya Gadde, Yit Yoong Lim, Anthony J. Maxwell, D. Gareth Evans, Anthony Howell, Susan M. Astley:
Does the prediction of breast cancer improve using a combination of mammographic density measures compared to individual measures alone? 101342P - Xiangrong Zhou, Takuya Kano, Hiromi Koyasu, Shuo Li
Automated assessment of breast tissue density in non-contrast 3D CT images without image segmentation based on a deep CNN. 101342Q - Vikrant Anilrao Karale, Sudipta Mukhopadhyay
Automated detection of microcalcification clusters in mammograms. 101342R - Yuya Hiramatsu, Chisako Muramatsu, Hironobu Kobayashi, Takeshi Hara, Hiroshi Fujita:
Automated detection of masses on whole breast volume ultrasound scanner: false positive reduction using deep convolutional neural network. 101342S - Karem D. Marcomini, Eduardo F. C. Fleury
Agreement between a computer-assisted tool and radiologists to classify lesions in breast elastography images. 101342T - Helder Cesar Rodigues de Oliveira
A new texture descriptor based on local micro-pattern for detection of architectural distortion in mammographic images. 101342U - Kalyani P. Nair, Elaine F. Harkness, Soujanya Gadde, Yit Yoong Lim, Anthony J. Maxwell, Emmanouil Moschidis, Philip Foden, Jack Cuzick, Adam Brentnall, D. Gareth Evans, Anthony Howell, Susan M. Astley:
The impact of using weight estimated from mammographic images vs. self-reported weight on breast cancer risk calculation. 101342V - Qingliang Li, Weili Shi, Huamin Yang, Huimao Zhang, Guoxin Li, Tao Chen, Kensaku Mori
Computer-aided diagnosis of mammographic masses using geometric verification-based image retrieval. 101342W - Bibo Shi, Lars J. Grimm
Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features? 101342X
Posters: Cardiac
- Liset Vázquez Romaguera, Marly Guimarães Fernandes Costa, Francisco Perdigón Romero, Cicero Ferreira Fernandes Costa Filho:
Left ventricle segmentation in cardiac MRI images using fully convolutional neural networks. 101342Z - Fátima L. S. Nunes
A novel 3D shape descriptor for automatic retrieval of anatomical structures from medical images. 1013430 - Douglas P. Perrin
Application of convolutional artificial neural networks to echocardiograms for differentiating congenital heart diseases in a pediatric population. 1013431 - Lin Cong, Luan Jiang, Gang Chen, Qiang Li:
Fully automated calculation of cardiothoracic ratio in digital chest radiographs. 1013432
Posters: Colon and GI
- Noha M. Ghatwary
Automatic grade classification of Barretts Esophagus through feature enhancement. 1013433 - Marc Jason Pomeroy, Lihong C. Li, Hao Han, Xinzhou Wei, Perry J. Pickhardt, Zhengrong Liang:
False positive reduction for wall thickness-based detection of colonic flat polyps via CT colonography. 1013434 - Huafeng Wang, Lihong C. Li, Xinzhou Wei, Wanquan Liu
A new framework for detection of initial flat polyp candidates based on a dual level set competition model. 1013435 - Radin A. Nasirudin, Janne J. Näppi, Toru Hironaka, Rie Tachibana, Hiroyuki Yoshida:
Electronic cleansing for CT colonography using spectral-driven iterative reconstruction. 1013436
Posters: Eye
- Behdad Dashtbozorg, Jiong Zhang
Retinal health information and notification system (RHINO). 1013437 - Ryusuke Watanabe, Chisako Muramatsu, Kyoko Ishida, Akira Sawada, Yuji Hatanaka, Tetsuya Yamamoto, Hiroshi Fujita:
Automated detection of nerve fiber layer defects on retinal fundus images using fully convolutional network for early diagnosis of glaucoma. 1013438 - John M. Irvine, Nastaran Ghadar, Steve Duncan, David Floyd, David O'Dowd, Kristie Lin, Tom Chang:
Inferring diagnosis and trajectory of wet age-related macular degeneration from OCT imagery of retina. 1013439 - Meysam Tavakoli, Mahdieh Nazar, Alireza Mehdizadeh
Effect of two different preprocessing steps in detection of optic nerve head in fundus images. 101343A - Min He, Weifang Zhu, Xinjian Chen
Retinal SD-OCT image-based pituitary tumor screening. 101343B
Posters: Head and Neck
- Tatsumasa Fukui, Kanade Kita, Hiromasa Kamemoto, Wataru Nishiyama, Hiroyasu Yoshida, Yukihiro Iida, Akitoshi Katsumata, Chisako Muramatsu, Hiroshi Fujita:
Evaluation of age-related changes with cross-sectional CT imaging of teeth. 101343C - Mrityunjoy Chakraborty, Rahul Das Gupta, Sudipta Mukhopadhyay
An introductory analysis of digital infrared thermal imaging guided oral cancer detection using multiresolution rotation invariant texture features. 101343D - Yuma Miki, Chisako Muramatsu, Tatsuro Hayashi, Xiangrong Zhou, Takeshi Hara, Akitoshi Katsumata, Hiroshi Fujita:
Tooth labeling in cone-beam CT using deep convolutional neural network for forensic identification. 101343E - Min Jin Lee, Helen Hong, Kyu Won Shim, Yong Oock Kim:
Computer-assisted quantification of the skull deformity for craniosynostosis from 3D head CT images using morphological descriptor and hierarchical classification. 101343F
Posters: Liver and Abdomen
- Yunzhi Wang, Yuchen Qiu, Theresa C. Thai, Kathleen N. Moore, Hong Liu, Bin Zheng:
Applying a deep learning based CAD scheme to segment and quantify visceral and subcutaneous fat areas from CT images. 101343G - Liyuan Zhang, Huamin Yang, Weili Shi, Yu Miao, Qingliang Li, Fei He, Wei He, Yanfang Li, Huimao Zhang, Kensaku Mori
An improved method for pancreas segmentation using SLIC and interactive region merging. 101343H - Elanchezhian Somasundaram, Robert Kaufman
Advancements in automated tissue segmentation pipeline for contrast-enhanced CT scans of adult and pediatric patients. 101343I - Uyen N. Hoang, Ashkan A. Malayeri, Nathan S. Lay, Ronald M. Summers, Jianhua Yao
Texture analysis of common renal masses in multiple MR sequences for prediction of pathology. 101343J - Yuan Zhao, Xinyao Cheng, Mingyue Ding:
The effects of TIS and MI on the texture features in ultrasonic fatty liver images. 101343K
Posters: Lung
- Wenqing Sun, Bin Zheng, Xia Huang, Wei Qian:
Balance the nodule shape and surroundings: a new multichannel image based convolutional neural network scheme on lung nodule diagnosis. 101343L - Wenqing Sun, Xia Huang, Tzu-Liang Bill Tseng, Wei Qian:
Automatic lung nodule graph cuts segmentation with deep learning false positive reduction. 101343M - Guilherme Aresta
Detection of juxta-pleural lung nodules in computed tomography images. 101343N - Gergely Gy. Orbán, Gábor Horváth:
Kernel descriptors for chest x-ray analysis. 101343O - Donghoon Lee, Ye-seul Kim, Sunghoon Choi, Haenghwa Lee, Byungdu Jo, Seungyeon Choi, Jungwook Shin, Hee-Joung Kim:
A feasibility study of automatic lung nodule detection in chest digital tomosynthesis with machine learning based on support vector machine. 101343P - Fangfang Han, Bowen Song, He Ma, Wei Qian, Zhengrong Liang:
Risk prediction of small pulmonary nodules based on novel CT image texture markers. 101343Q - Jiangdian Song, Yali Zang
Development and validation of a radiomics nomogram for progression-free survival prediction in stage IV EGFR-mutant non-small cell lung cancer. 101343R - Qier Meng, Takayuki Kitasaka, Masahiro Oda
Airway extraction from 3D chest CT volumes based on iterative extension of VOI enhanced by cavity enhancement filter. 101343S - Ashis Kumar Dhara, Sudipta Mukhopadhyay
A study of retrieval accuracy of pulmonary nodules based on external attachment. 101343T - Jatindra Kumar Dash
An experimental study of interstitial lung tissue classification in HRCT images using ANN and role of cost functions. 101343U - Shusheng Li, Liansheng Wang, Shuo Li:
Volume calculation of CT lung lesions based on Halton low-discrepancy sequences. 101343V - Hongxia Hao, Zhiguo Zhou, Jing Wang:
Distant failure prediction for early stage NSCLC by analyzing PET with sparse representation. 101343W - Peirui Bai, Jayaram K. Udupa, Yubing Tong, Shipeng Xie, Drew A. Torigian:
Automatic thoracic body region localization. 101343X - Ricardo S. Avila, Artit C. Jirapatnakul
A new method for predicting CT lung nodule volume measurement performance. 101343Y - Rachael N. Affenit, Erik R. Barns, Jacob D. Furst, Alexander Rasin, Daniela Stan Raicu:
Building confidence and credibility into CAD with belief decision trees. 101343Z
Posters: Musculoskeletal and Dermatology
- Amir Bar, Lior Wolf, Orna Bergman Amitai, Eyal Toledano, Eldad Elnekave:
Compression fractures detection on CT. 1013440 - Gaia Rizzo, Matteo Tonietto
Detection of a slow-flow component in contrast-enhanced ultrasound of the synovia for the differential diagnosis of arthritis. 1013441 - Naoki Kamiya
Automated analysis of whole skeletal muscle for muscular atrophy detection of ALS in whole-body CT images: preliminary study. 1013442 - Xiaoxu He, Mark Landis, Stephanie Leung, James Warrington, Olga Shmuilovich
Automated grading of lumbar disc degeneration via supervised distance metric learning. 1013443 - Shuang Liu, Yiting Xie, Anthony P. Reeves:
Individual bone structure segmentation and labeling from low-dose chest CT. 1013444 - Carlos D. Luna-Gómez, Laura A. Zanella-Calzada, Miguel A. Acosta-García, Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada
Can multivariate models based on MOAKS predict OA knee pain? Data from the Osteoarthritis Initiative. 1013445 - Yunxiang Mao, Dong Zheng, Shu Liao, Zhigang Peng, Ruyi Yan, Junhua Liu, Zhongxing Dong, Liyan Gong, Xiang Sean Zhou, Yiqiang Zhan, Jun Fei:
Automatic lumbar spine measurement in CT images. 1013446 - Mona Sharifi Sarabi, Diane Villaroman, Joel Beckett, Mark Attiah, Logan Marcus, Christine S. Ahn, Diana Babayan, Bilwaj Gaonkar, Luke Macyszyn, Cauligi S. Raghavendra:
Automatic vertebral bodies detection of x-ray images using invariant multiscale template matching. 1013447 - Amruta Kulkarni, Akshita Raina, Mona Sharifi Sarabi, Christine S. Ahn, Diana Babayan, Bilwaj Gaonkar, Luke Macyszyn, Cauligi S. Raghavendra:
Automatic segmentation of lumbar vertebrae in CT images. 1013448
Posters: Pelvis
- Gopichandh Danala
Apply radiomics approach for early stage prognostic evaluation of ovarian cancer patients: a preliminary study. 1013449 - Mingquan Lin
Prostate lesion detection and localization based on locality alignment discriminant analysis. 101344A
Posters: Vessels
- Anthony J. Winder
Comparison of classification methods for voxel-based prediction of acute ischemic stroke outcome following intra-arterial intervention. 101344B - Ahmed S. Maklad
A hybrid 3D region growing and 4D curvature analysis-based automatic abdominal blood vessel segmentation through contrast enhanced CT. 101344C - C. D. N. Porto, Cicero F. F. Costa Filho, Maysa M. G. Macedo, Marco A. Gutierrez
Classification of bifurcations regions in IVOCT images using support vector machine and artificial neural network models. 101344D - Bruno R. N. Matheus, B. S. Centurion, Izabel Regina Fischer Rubira-Bullen
Evaluation of a processing scheme for calcified atheromatous carotid artery detection in face/neck CBCT images. 101344E
PROSTATEx Challenge (cont.)
- Quan Chen
A transfer learning approach for classification of clinical significant prostate cancers from mpMRI scans. 101344F
Digital Mammography DREAM Challenge
- Berkman Sahiner:
Digital Mammography DREAM Challenge Overview (Conference Presentation). 101344I - Yaroslav Nikulin:
Digital Mammography DREAM Challenge: Participant Experience 1 (Conference Presentation). 101344J - José Costa Pereira:
Digital Mammography DREAM Challenge: Participant Experience 2 (Conference Presentation). 101344K
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