| 287 | -- | 303 | Edson F. Luque, Nelson Miranda, Daniel L. Rubin, Dilvan A. Moreira. Automatic Staging of Cancer Tumors Using AIM Image Annotations and Ontologies |
| 304 | -- | 323 | Omar Ibrahim Al Irr, Ashrani Aizzuddin Abd. Rahni. Survey on Liver Tumour Resection Planning System: Steps, Techniques, and Parameters |
| 324 | -- | 333 | Ramin Javan, Maureen Schickel, Yuanlong Zhao, Terry Agbo, Cullen Fleming, Parisa Heidari, Taha Gholipour, Donald C. Shields, Mohamad Koubeissi. Using 3D-Printed Mesh-Like Brain Cortex with Deep Structures for Planning Intracranial EEG Electrode Placement |
| 334 | -- | 340 | Fatemeh Homayounieh, Ramandeep Singh, TianQi Chen, Ellen J. Sugarman, Thomas J. Schultz, Subba R. Digumarthy, Keith J. Dreyer, Mannudeep K. Kalra. Viewing Imaging Studies: How Patient Location and Imaging Site Affect Referring Physicians |
| 341 | -- | 347 | Lingtao Yu, Pengcheng Wang, Xiaoyan Yu, Yusheng Yan, Yongqiang Xia. A Holistically-Nested U-Net: Surgical Instrument Segmentation Based on Convolutional Neural Network |
| 348 | -- | 354 | Sadaf Sahraian, Matthew D. Alvin, Arya Haj-Mirzaian, Rozita Jalilianhasanpour, Elham Beheshtian, Evan Honig, Mona Shahriari, Mert Uzner, Shadpour Demehri, David M. Yousem. Musculoskeletal Radiology Reports: Overlooked or Valuable? |
| 355 | -- | 360 | Ameena Elahi, Donovan Reid, Regina O. Redfern, Charles E. Kahn, Tessa Sundaram Cook. Automating Import and Reconciliation of Outside Examinations Submitted to an Academic Radiology Department |
| 361 | -- | 374 | Roopa B. Hegde, Keerthana Prasad, Harishchandra Hebbar, Brij Mohan Kumar Singh, Ilanthodi Sandhya. Automated Decision Support System for Detection of Leukemia from Peripheral Blood Smear Images |
| 375 | -- | 390 | Samira Loveymi, Mir Hossein Dezfoulian, Muharram Mansoorizadeh. Generate Structured Radiology Report from CT Images Using Image Annotation Techniques: Preliminary Results with Liver CT |
| 391 | -- | 398 | Mohammadreza Hedyehzadeh, Keivan Maghooli, Mohammad MomenGharibvand, Stephen Pistorius. A Comparison of the Efficiency of Using a Deep CNN Approach with Other Common Regression Methods for the Prediction of EGFR Expression in Glioblastoma Patients |
| 399 | -- | 407 | Farzaneh Dehghani, Alireza Karimian, Mehri Sirous. Assessing the Bone Age of Children in an Automatic Manner Newborn to 18 Years Range |
| 408 | -- | 413 | Karin Dembrower, Peter Lindholm, Fredrik Strand. A Multi-million Mammography Image Dataset and Population-Based Screening Cohort for the Training and Evaluation of Deep Neural Networks - the Cohort of Screen-Aged Women (CSAW) |
| 414 | -- | 422 | Ni Gao, Sijia Tian, Xia Li, Jian Huang, Jingjing Wang, Sipeng Chen, Yuan Ma, Xiangtong Liu, Xiuhua Guo. Three-Dimensional Texture Feature Analysis of Pulmonary Nodules in CT Images: Lung Cancer Predictive Models Based on Support Vector Machine Classifier |
| 423 | -- | 430 | Yuan Liu 0015, Xiubao Sui, Chengwei Liu, Xiaodong Kuang, Yong Hu. Automatic Lumbar Spine Tracking Based on Siamese Convolutional Network |
| 431 | -- | 438 | Vikash Gupta, Mutlu Demirer, Matthew T. Bigelow, Kevin J. Little, Sema Candemir, Luciano M. Prevedello, Richard D. White, Thomas P. O'Donnell, Michael Wels, Barbaros S. Erdal. 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 |
| 439 | -- | 446 | Sara Ranjbar, Kyle W. Singleton, Pamela R. Jackson, Cassandra R. Rickertsen, Scott A. Whitmire, Kamala R. Clark-Swanson, Joseph Ross Mitchell, Kristin R. Swanson, Leland S. Hu. A Deep Convolutional Neural Network for Annotation of Magnetic Resonance Imaging Sequence Type |
| 447 | -- | 455 | Tomomi Nobashi, Claudia Zacharias, Jason K. Ellis, Valentina Ferri, Mary Ellen Koran, Benjamin L. Franc, Andrei Iagaru, Guido A. Davidzon. Performance Comparison of Individual and Ensemble CNN Models for the Classification of Brain 18F-FDG-PET Scans |
| 456 | -- | 464 | Elizabeth Silvestro, Khalil N. Betts, Michael L. Francavilla, Savvas Andronikou, Raymond W. Sze. Imaging Properties of Additive Manufactured (3D Printed) Materials for Potential Use for Phantom Models |
| 465 | -- | 479 | T. Kalaiselvi, P. Kumarashankar, Padmanaban Sriramakrishnan. Three-Phase Automatic Brain Tumor Diagnosis System Using Patches Based Updated Run Length Region Growing Technique |
| 480 | -- | 489 | Jordy K. van Zandwijk, Volkan Tuncay, Rozemarijn Vliegenthart, Gert Jan Pelgrim, Cornelis H. Slump, Matthijs Oudkerk, Peter M. A. van Ooijen. Assessment of Dynamic Change of Coronary Artery Geometry and Its Relationship to Coronary Artery Disease, Based on Coronary CT Angiography |
| 490 | -- | 496 | 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. Crowdsourcing pneumothorax annotations using machine learning annotations on the NIH chest X-ray dataset |
| 497 | -- | 503 | Hiroki Kobayashi, Ryohei Nakayama, Akiyoshi Hizukuri, Masaki Ishida, Kakuya Kitagawa, Hajime Sakuma. Improving Image Resolution of Whole-Heart Coronary MRA Using Convolutional Neural Network |
| 504 | -- | 515 | Maryam Gholizadeh-Ansari, Javad Alirezaie, Paul S. Babyn. Deep Learning for Low-Dose CT Denoising Using Perceptual Loss and Edge Detection Layer |
| 516 | -- | 530 | Urvashi Sharma, Meenakshi Sood, Emjee Puthooran. A Block Adaptive Near-Lossless Compression Algorithm for Medical Image Sequences and Diagnostic Quality Assessment |
| 531 | -- | 537 | Takashi Mizukuchi, Takeshi Uemura, Satoru Kondo, Shinji Abe, Shiro Adachi, Naoki Okumura, Takahisa Kondo, Shuji Koyama. Automatic Remasking of Digital Subtraction Angiography Images in Pulmonary Angiography |
| 538 | -- | 546 | Dongyeon Lee, Chulkyu Park, Younghwan Lim, Hyosung Cho. A Metal Artifact Reduction Method Using a Fully Convolutional Network in the Sinogram and Image Domains for Dental Computed Tomography |
| 547 | -- | 553 | Valeria Makeeva, Brianna L. Vey, Tessa Sundaram Cook, Paul G. Nagy, Ross W. Filice, Kenneth C. Wang, P. Balthazar, P. Harri, Nabile M. Safdar. Imaging Informatics Fellowship Curriculum: a Survey to Identify Core Topics and Potential Inter-Program Areas of Collaboration |