イリノイ工科大学で指導している10人の学生が、RSNAで研究発表を行いました。RSNAは、医学分野で最も規模の大きな臨床国際学会で、参加者は6万人を超え、一流の医者や研究者でさえも論文がアクセセプトされるのは非常に狭き門となっています。

博士課程の学生は、鈴木助教授が獲得した外部資金と電気情報工学科のTA/RAのサポートを受けて研究を行っています。修士学生は、鈴木助教授が担当するSpecial Problems in Electrical and Computer Engineering (ECE-597)コースの授業を受けています。

以下は、発表した研究論文のリストです。

Title: Virtual Dual-Energy (VDE) Imaging: Separation of Bones from Soft Tissue in Chest Radiographs (CXRs) by Means of Anatomy-Specific (AS) Orientation-Frequency-Specific (OFS) Deep Neural Network Convolution (NNC)
Authors: A Zarshenas, MSc; J V Patel, BS; J Liu, MS; P Forti; K Suzuki, PhD

Title: Virtual High-Dose (VHD) Technology: Radiation Dose Reduction in Digital Breast Tomosynthesis (DBT) by Means of Supervised Deep-Learning Image Processing (DLIP) Authors: Junchi Liu, MS, A Zarshenas, MS, Z Wei, BS, L Yang, MD, PhD, L Fajardo, MD, MBA, K Suzuki, PhD

Title: Investigating the Depth of Convolutional Neural Networks (CNNs) in Computer-aided Detection and Classification of Focal Lesions: Lung Nodules in Thoracic CT and Colorectal Polyps in CT Colonography
Authors: N Tajbakhsh; A Zarshenas, MS; J Liu, MS; K Suzuki, PhD

Title: Two Deep-Learning Models for Lung Nodule Detection and Classification in CT: Convolutional Neural Network (CNN) vs Neural Network Convolution (NNC)
Authors: N Tajbakhsh; A Zarshenas, MS; J Liu, MS; K Suzuki, PhD

Title: Detection of Solid Pulmonary Nodules in Micro-Dose CT (mDCT) with “Virtual” Higher-Dose (vHD) CT Technology: An Observer Performance Study
Authors: W Fukumoto; K Suzuki, PhD; T Higaki, PhD; Y Zhao, BS; A Zarshenas, MS; K Awai.

Title: Highly Efficient Biomarker Selection (BS) Based on Novel Binary Coordinate Accent (BCA) for Machine Learning with a Large Dataset in Radiomics
Authors: A Zarshenas, MS; J Liu, MS; K Suzuki, PhD

Title: Radiation Dose Reduction in Thin-Slice Chest CT at a Micro-Dose (mD) Level by Means of 3D Deep Neural Network Convolution (NNC)
Authors: A Zarshenas, MS; Y Zhao, BS; J Liu, MS; T Higaki, PhD; K Awai, MD; K Suzuki, PhD

Title: Computer-Based Interactive Demonstration and Comparative Study: Virtual Full-Dose (VFD) Digital Breast Tomosynthesis (DBT) Images Derived From Reduced-Dose Acquisitions versus Clinical Full-Dose DBT Images
Authors: J Liu, MS, A Zarshenas, MS, Z Wei, BS, L Yang, MD, PhD, L Fajardo, MD, MBA, K Suzuki, PhD

Title: What Was Changed in Machine Learning (ML) in Medical Image Analysis After the Introduction of Deep Learning?
Authors: K Suzuki, PhD; A Zarshenas, MS; J Liu, MS; Y Zhao, BS; Y Luo

Title: How Deep Should We Go with Deep Learning in Medical Image Analysis?
Authors: N Tajbakhsh; A Zarshenas, MS; J Liu, MS; K Suzuki, PhD