Skip to main content

Journal of Imaging Informatics in Medicine

Ausgabe 2/2020

Inhalt (27 Artikel)

Original Paper

Automatic Staging of Cancer Tumors Using AIM Image Annotations and Ontologies

E. F. Luque, N. Miranda, D. L. Rubin, D. A. Moreira

Using 3D-Printed Mesh-Like Brain Cortex with Deep Structures for Planning Intracranial EEG Electrode Placement

Ramin Javan, Maureen Schickel, Yuanlong Zhao, Terry Agbo, Cullen Fleming, Parisa Heidari, Taha Gholipour, Donald C. Shields, Mohamad Koubeissi

Viewing Imaging Studies: How Patient Location and Imaging Site Affect Referring Physicians

Fatemeh Homayounieh, Ramandeep Singh, Tianqi Chen, Ellen J. Sugarman, Thomas J. Schultz, Subba R. Digumarthy, Keith J. Dreyer, Mannudeep K. Kalra

A Holistically-Nested U-Net: Surgical Instrument Segmentation Based on Convolutional Neural Network

Lingtao Yu, Pengcheng Wang, Xiaoyan Yu, Yusheng Yan, Yongqiang Xia

Original Paper

Musculoskeletal Radiology Reports: Overlooked or Valuable?

Sadaf Sahraian, Matthew D. Alvin, Arya Haj-Mirzaian, Rozita Jalilianhasanpour, Elham Beheshtian, Evan Honig, Mona Shahriari, Mert Uzner, Shadpour Demehri, David M. Yousem

Automating Import and Reconciliation of Outside Examinations Submitted to an Academic Radiology Department

Ameena Elahi, Donovan Reid, Regina O. Redfern, Charles E. Kahn Jr., Tessa S. Cook

Automated Decision Support System for Detection of Leukemia from Peripheral Blood Smear Images

Roopa B. Hegde, Keerthana Prasad, Harishchandra Hebbar, Brij Mohan Kumar Singh, I Sandhya

Original Paper

Generate Structured Radiology Report from CT Images Using Image Annotation Techniques: Preliminary Results with Liver CT

Samira Loveymi, Mir Hossein Dezfoulian, Muharram Mansoorizadeh

Original Paper

Three-Dimensional Texture Feature Analysis of Pulmonary Nodules in CT Images: Lung Cancer Predictive Models Based on Support Vector Machine Classifier

Ni Gao, Sijia Tian, Xia Li, Jian Huang, Jingjing Wang, Sipeng Chen, Yuan Ma, Xiangtong Liu, Xiuhua Guo

Original Paper

Automatic Lumbar Spine Tracking Based on Siamese Convolutional Network

Yuan Liu, Xiubao Sui, Chengwei Liu, Xiaodong Kuang, Yong Hu

Original Paper

Performance of a Deep Neural Network Algorithm Based on a Small Medical Image Dataset: Incremental Impact of 3D-to-2D Reformation Combined with Novel Data Augmentation, Photometric Conversion, or Transfer Learning

Vikash Gupta, Mutlu Demirer, Matthew Bigelow, Kevin J. Little, Sema Candemir, Luciano M. Prevedello, Richard D. White, Thomas P. O’Donnell, Michael Wels, Barbaros S. Erdal

A Deep Convolutional Neural Network for Annotation of Magnetic Resonance Imaging Sequence Type

Sara Ranjbar, Kyle W. Singleton, Pamela R. Jackson, Cassandra R. Rickertsen, Scott A. Whitmire, Kamala R. Clark-Swanson, J. Ross Mitchell, Kristin R. Swanson, Leland S. Hu

Performance Comparison of Individual and Ensemble CNN Models for the Classification of Brain 18F-FDG-PET Scans

Tomomi Nobashi, Claudia Zacharias, Jason K. Ellis, Valentina Ferri, Mary Ellen Koran, Benjamin L. Franc, Andrei Iagaru, Guido A. Davidzon

Original Paper

Imaging Properties of Additive Manufactured (3D Printed) Materials for Potential Use for Phantom Models

Elizabeth Silvestro, Khalil N. Betts, Michael L. Francavilla, Savvas Andronikou, Raymond W. Sze

Open Access Original Paper

Assessment of Dynamic Change of Coronary Artery Geometry and Its Relationship to Coronary Artery Disease, Based on Coronary CT Angiography

Jordy K. van Zandwijk, Volkan Tuncay, Rozemarijn Vliegenthart, Gert Jan Pelgrim, Cornelis H. Slump, Matthijs Oudkerk, Peter M. A. van Ooijen

Original Paper

Crowdsourcing pneumothorax annotations using machine learning annotations on the NIH chest X-ray dataset

Ross W. Filice, Anouk Stein, Carol C. Wu, Veronica A. Arteaga, Stephen Borstelmann, Ramya Gaddikeri, Maya Galperin-Aizenberg, Ritu R. Gill, Myrna C. Godoy, Stephen B. Hobbs, Jean Jeudy, Paras C. Lakhani, Archana Laroia, Sundeep M. Nayak, Maansi R. Parekh, Prasanth Prasanna, Palmi Shah, Dharshan Vummidi, Kavitha Yaddanapudi, George Shih

Improving Image Resolution of Whole-Heart Coronary MRA Using Convolutional Neural Network

Hiroki Kobayashi, Ryohei Nakayama, Akiyoshi Hizukuri, Masaki Ishida, Kakuya Kitagawa, Hajime Sakuma

Original Paper

Deep Learning for Low-Dose CT Denoising Using Perceptual Loss and Edge Detection Layer

Maryam Gholizadeh-Ansari, Javad Alirezaie, Paul Babyn

Original Paper

Automatic Remasking of Digital Subtraction Angiography Images in Pulmonary Angiography

Takashi Mizukuchi, Takeshi Uemura, Satoru Kondo, Shinji Abe, Shiro Adachi, Naoki Okumura, Takahisa Kondo, Shuji Koyama

Imaging Informatics Fellowship Curriculum: a Survey to Identify Core Topics and Potential Inter-Program Areas of Collaboration

Valeria Makeeva, B Vey, TS Cook, P Nagy, RW Filice, KC Wang, P Balthazar, P Harri, NM Safdar

Update Radiologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.