Medical Imaging 2018: Computer-Aided Diagnosis
Proceedings Volume 10575 is from: Logo
10-15 February 2018
Houston, Texas, United States
Lung I and Liver
Proc. SPIE 10575, Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT images, 1057502 (27 February 2018); doi: 10.1117/12.2287066
Proc. SPIE 10575, Early detection of lung cancer recurrence after stereotactic ablative radiation therapy: radiomics system design, 1057503 (27 February 2018); doi: 10.1117/12.2292444
Proc. SPIE 10575, Pneumothorax detection in chest radiographs using convolutional neural network, 1057504 (27 February 2018); doi: 10.1117/12.2292540
Proc. SPIE 10575, Boosting CNN performance for lung texture classification using connected filtering, 1057505 (27 February 2018); doi: 10.1117/12.2293093
Proc. SPIE 10575, Automatic liver volume segmentation and fibrosis classification, 1057506 (27 February 2018); doi: 10.1117/12.2294555
Proc. SPIE 10575, Association of high proliferation marker Ki-67 expression with DCEMR imaging features of breast: a large scale evaluation, 1057507 (27 February 2018); doi: 10.1117/12.2293207
Proc. SPIE 10575, Detecting mammographically-occult cancer in women with dense breasts using Radon Cumulative Distribution Transform: a preliminary analysis, 1057508 (27 February 2018); doi: 10.1117/12.2293541
Proc. SPIE 10575, 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, 1057509 (27 February 2018); doi: 10.1117/12.2293661
Proc. SPIE 10575, Robustness of radiomic breast features of benign lesions and luminal A cancers across MR magnet strengths, 105750A (27 February 2018); doi: 10.1117/12.2293764
Proc. SPIE 10575, Empirical evaluation of cross-site reproducibility in radiomic features for characterizing prostate MRI, 105750B (27 February 2018); doi: 10.1117/12.2293992
Proc. SPIE 10575, A deep learning classifier for prediction of pathological complete response to neoadjuvant chemotherapy from baseline breast DCE-MRI, 105750C (27 February 2018); doi: 10.1117/12.2294056
Brain I
Proc. SPIE 10575, Deep learning and texture-based semantic label fusion for brain tumor segmentation, 105750D (27 February 2018); doi: 10.1117/12.2292930
Proc. SPIE 10575, 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, 105750E (27 February 2018); doi: 10.1117/12.2293023
Proc. SPIE 10575, 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, 105750F (27 February 2018); doi: 10.1117/12.2293199
Proc. SPIE 10575, Gaussian Processes with optimal kernel construction for neuro-degenerative clinical onset prediction, 105750G (27 February 2018); doi: 10.1117/12.2293242
Proc. SPIE 10575, MRI textures as outcome predictor for Gamma Knife radiosurgery on vestibular schwannoma, 105750H (27 February 2018); doi: 10.1117/12.2293464
Proc. SPIE 10575, ADMultiImg: a novel missing modality transfer learning based CAD system for diagnosis of MCI due to AD using incomplete multi-modality imaging data, 105750I (27 February 2018); doi: 10.1117/12.2293698
Proc. SPIE 10575, Longitudinal connectome-based predictive modeling for REM sleep behavior disorder from structural brain connectivity, 105750J (27 February 2018); doi: 10.1117/12.2293835
Musculoskeletal and Skin
Proc. SPIE 10575, Automated synovium segmentation in doppler ultrasound images for rheumatoid arthritis assessment, 105750K (27 February 2018); doi: 10.1117/12.2293310
Proc. SPIE 10575, Automatic pedicles detection using convolutional neural network in a 3D spine reconstruction from biplanar radiographs, 105750L (27 February 2018); doi: 10.1117/12.2293763
Proc. SPIE 10575, Fully automated bone mineral density assessment from low-dose chest CT , 105750M (27 February 2018); doi: 10.1117/12.2293838
Proc. SPIE 10575, Segmentation of skin lesions in chronic graft versus host disease photographs with fully convolutional networks, 105750N (27 February 2018); doi: 10.1117/12.2293334
Proc. SPIE 10575, Computer-aided detection of basal cell carcinoma through blood content analysis in dermoscopy images , 105750O (27 February 2018); doi: 10.1117/12.2293353
Breast I
Proc. SPIE 10575, Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme, 105750P (27 February 2018); doi: 10.1117/12.2293361
Proc. SPIE 10575, Cross-domain and multi-task transfer learning of deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis, 105750Q (27 February 2018); doi: 10.1117/12.2293412
Proc. SPIE 10575, Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features, 105750R (27 February 2018); doi: 10.1117/12.2293809
Proc. SPIE 10575, Deep learning in breast cancer risk assessment: evaluation of fine-tuned convolutional neural networks on a clinical dataset of FFDMs, 105750S (27 February 2018); doi: 10.1117/12.2294536
Proc. SPIE 10575, Transfer learning with convolutional neural networks for lesion classification on clinical breast tomosynthesis, 105750T (27 February 2018); doi: 10.1117/12.2294973
Proc. SPIE 10575, Breast tumor segmentation in DCE-MRI using fully convolutional networks with an application in radiogenomics, 105750U (27 February 2018); doi: 10.1117/12.2295436
Cardiac, Vessels, and Novel Applications
Proc. SPIE 10575, A quality score for coronary artery tree extraction results, 105750V (27 February 2018); doi: 10.1117/12.2292430
Proc. SPIE 10575, Aortic root segmentation in 4D transesophageal echocardiography, 105750W (27 February 2018); doi: 10.1117/12.2293056
Proc. SPIE 10575, 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, 105750X (27 February 2018); doi: 10.1117/12.2293295
Proc. SPIE 10575, Computer aided diagnosis system for automated label-free early detection of oral epithelial cancer and dysplasia based on autofluorescence lifetime imaging endoscopy (Conference Presentation), 105750Y (); doi: 10.1117/12.2293813
Proc. SPIE 10575, Identification and functional characterization of HIV-associated neurocognitive disorders with large-scale Granger causality analysis on resting-state functional MRI, 105750Z (27 February 2018); doi: 10.1117/12.2293888
Keynote and Eye
Proc. SPIE 10575, Automated segmentation of geographic atrophy using deep convolutional neural networks, 1057511 (27 February 2018); doi: 10.1117/12.2287001
Proc. SPIE 10575, An affordable and easy-to-use diagnostic method for keratoconus detection using a smartphone, 1057512 (27 February 2018); doi: 10.1117/12.2293765
Colon and Prostate
Proc. SPIE 10575, Detection of protruding lesion in wireless capsule endoscopy videos of small intestine, 1057513 (27 February 2018); doi: 10.1117/12.2293303
Proc. SPIE 10575, Radiomics analysis of DWI data to identify the rectal cancer patients qualified for local excision after neoadjuvant chemoradiotherapy, 1057514 (27 February 2018); doi: 10.1117/12.2293329
Proc. SPIE 10575, Development of a computer aided diagnosis model for prostate cancer classification on multi-parametric MRI, 1057515 (27 February 2018); doi: 10.1117/12.2293341
Proc. SPIE 10575, Cascade classification of endocytoscopic images of colorectal lesions for automated pathological diagnosis , 1057516 (27 February 2018); doi: 10.1117/12.2293495
Proc. SPIE 10575, A new fractional order derivative based active contour model for colon wall segmentation, 1057517 (27 February 2018); doi: 10.1117/12.2293677
Proc. SPIE 10575, Detection of colorectal masses in CT colonography: application of deep residual networks for differentiating masses from normal colon anatomy, 1057518 (27 February 2018); doi: 10.1117/12.2293848
Head and Neck
Proc. SPIE 10575, Comparison of different deep learning approaches for parotid gland segmentation from CT images, 1057519 (27 February 2018); doi: 10.1117/12.2292962
Proc. SPIE 10575, Detection of eardrum abnormalities using ensemble deep learning approaches, 105751A (27 February 2018); doi: 10.1117/12.2293297
Proc. SPIE 10575, A convolutional neural network for intracranial hemorrhage detection in non-contrast CT, 105751B (27 February 2018); doi: 10.1117/12.2292975
Proc. SPIE 10575, Deep 3D convolution neural network for CT brain hemorrhage classification, 105751C (27 February 2018); doi: 10.1117/12.2293725
Proc. SPIE 10575, Cerebral microbleed detection in traumatic brain injury patients using 3D convolutional neural networks, 105751D (27 February 2018); doi: 10.1117/12.2294016
Lung II
Proc. SPIE 10575, Comparing deep learning models for population screening using chest radiography, 105751E (27 February 2018); doi: 10.1117/12.2293140
Proc. SPIE 10575, Deep-learning derived features for lung nodule classification with limited datasets, 105751F (27 February 2018); doi: 10.1117/12.2293236
Proc. SPIE 10575, 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, 105751G (27 February 2018); doi: 10.1117/12.2293468
Proc. SPIE 10575, Differentiating invasive and pre-invasive lung cancer by quantitative analysis of histopathologic images, 105751H (27 February 2018); doi: 10.1117/12.2293601