• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 722 matches

• 2023
• 
  Alex J. Allphin, Rohan Nadkarni, Darin P. Clark, Cristian T. Badea:
  Ex vivo high-resolution hybrid micro-CT imaging using photon counting and energy integrating detectors. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Ryan Armbruster, Anjali Talluru, Arijitt Borthakur, Warren B. Bilker, Ravinder Reddy, Susanta Sarkar:
  Reproducibility of T1ρ MRI in the healthy human knee joint by measuring intra- and inter-vendor variability. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Qi Chang, Danish Ahmad, Jennifer Toth, Rebecca Bascom, William E. Higgins:
  ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Chih-Wei Chang, Matt Goette, Nadja Kadom, Yinan Wang, Jacob F. Wynne, Tonghe Wang, Tian Liu, Natia Esiashvili, Jun Zhou, Bree R. Eaton, Xiaofeng Yang:
  Quantification of radiation damage for proton craniospinal irradiation using magnetic resonance imaging. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Herng-Hua Chang, Shin-Joe Yeh, Yi-Ru Lin, Ming-Chang Chiang, Sung-Tsang Hsieh:
  Automatic infarct segmentation in rat brain MR images after stroke using an adaptive deformable model. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Jian Dai, Jayaram K. Udupa, Drew A. Torigian, Yubing Tong, Pengju Nie, Jing Zhang, Ran Li, Shiwei Han, Tian Liu:
  A deep-learning-based geographic attention model for body composition tissue segmentation. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Vahid Daneshpajooh, Cédric Dumas, Danish Ahmad, Jennifer Toth, Rebecca Bascom, William E. Higgins:
  Vascular pattern recognition for narrow-band imaging bronchoscopy. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Yile Fang, Yibing Zhang, Michael C. Lun, Jeffrey N. Anker, Ge Wang, Changqing Li:
  Development of fast and three-dimensional focused x-ray luminescence tomography system. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Seth Fillioe, Kyle K. Bishop, Alexander V. S. Jannini, John J. I. Kim, Ricky McDonough, Steven Ortiz, Julie Hasenwinkel, Charles M. Peterson, Joseph Chaiken:
  PVOH and spontaneous Raman-based images of spinal cord in the immediate aftermath of localized contusive injury obtained noninvasively and in vivo in a rat model using remitted light from a single spatially scanned laser. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Mohammad Hamghalam, Richard K. G. Do, Amber L. Simpson:
  Attention-based CT scan interpolation for lesion segmentation of colorectal liver metastases. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Eric S. Harmon, Michael O. Thompson, Charles Ross Schmidtlein, James N. Turner, Alberto Gola, Giacomo Borghi, Stefano Merzi, Elena Moretti, Andrzej Król:
  Experimental proof of record-short coincidence time resolution performance achieved in 3×3×3 mm3 LYSO crystals. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Allen Hong, Aaron Carass, Lianrui Zuo, Jerry L. Prince, Ahmed Alshareef:
  Investigating the effect of cerebral atrophy on brain deformation using subject-specific models. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Ammar Hoori, Tao Hu, Juhwan Lee, Sadeer Al-Kindi, Sanjay Rajagopalan, David L. Wilson:
  Analysis of paracardial adipose tissues using deep learning segmentation in CT calcium score images. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Ammar Hoori, Tao Hu, Juhwan Lee, Sadeer Al-Kindi, Sanjay Rajagopalan, David L. Wilson:
  An enriched survival study of epicardial adipose tissues risk on major adverse cardiovascular event in CT calcium score images. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Mingzhe Hu, Jing Wang, Chih-Wei Chang, Tian Liu, Xiaofeng Yang:
  End-to-end brain tumor detection using a graph-feature-based classifier. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Hilde Jans, Cedric Pieters, Deep Bera, Grim Keulemans, Roelof Jansen, Veronique Rochus, Jon Ø. Kjellman, Hasan Md. Mahmud-Ul-Hasan, Xavier Rottenberg:
  Photoacoustic imaging using an optomechanical ultrasound sensor for future applications in breast cancer imaging. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Yoshiki Kawata, Hidenobu Suzuki, Yuji Matsumoto, Takaaki Tsuchida, Keiju Aokage, Genichiro Ishii, Masahiko Kusumoto, Noboru Niki:
  Representation of thoracic N1 lymph nodes group in contrast-enhanced CT images using distance maps based on tracheobronchial labeling. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Amirkhosro Kazemi, Sean Callahan, Marcus F. Stoddard, Amir A. Amini:
  Estimation of hemodynamic parameters with deep-learning-based super-resolved 4D flow MRI velocity data. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Justin Namuk Kim, Juhwan Lee, Lia Gomez-Perez, Vladislav N. Zimin, Mohamed H. E. Makhlouf, Sadeer Al-Kindi, David L. Wilson:
  Non-invasive coronary CT angiography identification of thin-cap fibroatheroma determined by intravascular optical coherence tomography. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Heyuan Li, Gengxin Shi, Lauren Meckel, Deborah Cunningham, Daniel J. Wescott, Adam D. Sylvester, Nicolas Charon, Wojciech Zbijewski:
  Body mass classification from skeletal elements using landmark-free morphological atlas estimation with diffeomorphic shape mapping. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Jieyu Li, Jayaram K. Udupa, Yubing Tong, Drew A. Torigian:
  Estimating normal metabolic activity for disease quantification via PET/CT images. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Yuheng Li, Jing Wang, Chih-Wei Chang, Pretsh Patel, Ashesh B. Jani, Hui Mao, Tian Liu, Xiaofeng Yang:
  Multi-parametric MRI radiomics analysis with ensemble learning for prostate lesion classification. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Dan Ma:
  Clinical applications of fast and quantitative MR fingerprinting. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Jenita Manokaran, Julio Garcia Flores, Eranga Ukwatta:
  Fully automated aortic segmentation of 3D phase-contrast magnetic resonance angiography images using deep learning techniques. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Parmita Mondal, Michael H. Udin, Mohammad Mahdi Shiraz Bhurwani, Kyle A. Williams, Ciprian N. Ionita:
  Intra-operative optimal flow diverter selection for intracranial aneurysm treatment using angiographic parametric imaging: feasibility study. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Randa Mudathir, Megan Hutter, Carla du Toit, Lori Gardi, Nina Suh, Emily Lalone, Aaron Fenster:
  Assessing sex differences in joint kinematics and ligament recruitment in CMC-1 OA patients: a preliminary study. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Kevin Mueller, Anke Meyer-Baese, Gordon Erlebacher:
  Combining graph neural networks and ROI-based convolutional neural networks to infer individualized graphs for Alzheimer's prediction. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Syed Ahmed Nadeem, Alejandro P. Comellas, Eric A. Hoffman, Punam K. Saha:
  Automated detection of ribs in chest CT scans and assessment of changes in their morphology between Total Lung Capacity (TLC) and Residual Volume (RV). Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Anton Orlichenko, Grant Daly, Jack W. Freeman, Yu-Ping Wang:
  ImageNomer: developing an interactive graphical analysis tool for examining fMRI and omics data. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023
• 
  Shaoyan Pan, Chaoqiong Ma, Chih-Wei Chang, Jacob F. Wynne, Justin Roper, Tian Liu, Xiaofeng Yang:
  Multi-structure segmentation on cardiac MRI using multilayer perceptron mixer network. Biomedical Applications in Molecular, Structural, and Functional Imaging 2023

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