1. Evolution of the Journal of Digital Imaging into the Journal of Imaging Informatics in Medicine

   • Elizabeth A. Krupinski
   • Victoria Barnosky

   Editorial 12 January 2024 Pages: 1 - 2

2. Natural Language Processing Algorithm Used for Staging Pulmonary Oncology from Free-Text Radiological Reports: “Including PET-CT and Validation Towards Clinical Use”

   • J. Martijn Nobel
   • Sander Puts
   • André L. A. J. Dekker

   OriginalPaper Open access 12 January 2024 Pages: 3 - 12

   

3. Deconvolution-Based Pharmacokinetic Analysis to Improve the Prediction of Pathological Information of Breast Cancer

   • Liangliang Zhang
   • Ming Fan
   • Lihua Li

   OriginalPaper 10 January 2024 Pages: 13 - 24

   

4. Integrated Automatic Examination Assignment Reduces Radiologist Interruptions: A 2-Year Cohort Study of 232,022 Examinations

   • Wyanne Law
   • Admir Terzic
   • Anton S. Becker

   OriginalPaper Open access 09 January 2024 Pages: 25 - 30

   

5. Development of End-to-End AI–Based MRI Image Analysis System for Predicting IDH Mutation Status of Patients with Gliomas: Multicentric Validation

   • João Santinha
   • Vasileios Katsaros
   • Nickolas Papanikolaou

   OriginalPaper Open access 12 January 2024 Pages: 31 - 44

   

6. An Automated Decision Support System to Analyze Malignancy Patterns of Breast Masses Employing Medically Relevant Features of Ultrasound Images

   • Sami Azam
   • Sidratul Montaha
   • Mirjam Jonkman

   OriginalPaper 12 January 2024 Pages: 45 - 59

   

7. Invertible and Variable Augmented Network for Pretreatment Patient-Specific Quality Assurance Dose Prediction

   • Zhongsheng Zou
   • Changfei Gong
   • Minghui Zhang

   OriginalPaper 10 January 2024 Pages: 60 - 71

   

8. Deep Learning Detection of Aneurysm Clips for Magnetic Resonance Imaging Safety

   • Megan Courtman
   • Daniel Kim
   • Mark Thurston

   OriginalPaper Open access 12 January 2024 Pages: 72 - 80

   

9. Predicting Risk Stratification in Early-Stage Endometrial Carcinoma: Significance of Multiparametric MRI Radiomics Model

   • Huan Meng
   • Yu-Feng Sun
   • Xiao-Ping Yin

   OriginalPaper 18 January 2024 Pages: 81 - 91

   

10. Hybrid Topological Data Analysis and Deep Learning for Basal Cell Carcinoma Diagnosis

    • Akanksha Maurya
    • R. Joe Stanley
    • William V. Stoecker

    OriginalPaper Open access 12 January 2024 Pages: 92 - 106

    

11. Intra- and Inter-expert Validation of an Automatic Segmentation Method for Fluid Regions Associated with Central Serous Chorioretinopathy in OCT Images

    • Mateo Gende
    • Lúa Castelo
    • Marcos Ortega

    OriginalPaper Open access 12 January 2024 Pages: 107 - 122

    

12. Impacts of Adaptive Statistical Iterative Reconstruction-V and Deep Learning Image Reconstruction Algorithms on Robustness of CT Radiomics Features: Opportunity for Minimizing Radiomics Variability Among Scans of Different Dose Levels

    • Jingyu Zhong
    • Zhiyuan Wu
    • Weiwu Yao

    OriginalPaper Open access 29 January 2024 Pages: 123 - 133

    

13. Background Subtraction Angiography with Deep Learning Using Multi-frame Spatiotemporal Angiographic Input

    • Donald R. Cantrell
    • Leon Cho
    • Sameer A. Ansari

    OriginalPaper 10 January 2024 Pages: 134 - 144

    

14. Can Digital Enhancement Restore the Image Quality of Phosphor Plate-Based Radiographs Partially Damaged by Ambient Light?

    • Matheus Sampaio-Oliveira
    • Luiz Eduardo Marinho-Vieira
    • Matheus L. Oliveira

    Original Paper 12 January 2024 Pages: 145 - 150

    

15. Multi-Scale and Spatial Information Extraction for Kidney Tumor Segmentation: A Contextual Deformable Attention and Edge-Enhanced U-Net

    • Shamija Sherryl R. M. R.
    • Jaya T.

    OriginalPaper 12 January 2024 Pages: 151 - 166

    

16. Generating PET Attenuation Maps via Sim2Real Deep Learning–Based Tissue Composition Estimation Combined with MLACF

    • Tetsuya Kobayashi
    • Yui Shigeki
    • Kazunari Ishii

    OriginalPaper 10 January 2024 Pages: 167 - 179

    

17. CT-Based Radiomics and Machine Learning for Differentiating Benign, Borderline, and Early-Stage Malignant Ovarian Tumors

    • Jia Chen
    • Lei Liu
    • Chanzhen Liu

    OriginalPaper 11 January 2024 Pages: 180 - 195

    

18. TiCNet: Transformer in Convolutional Neural Network for Pulmonary Nodule Detection on CT Images

    • Ling Ma
    • Gen Li
    • Lizhi Liu

    OriginalPaper 10 January 2024 Pages: 196 - 208

    

19. MRI-based Machine Learning Radiomics Can Predict CSF1R Expression Level and Prognosis in High-grade Gliomas

    • Yuling Lai
    • Yiyang Wu
    • Meilin Weng

    OriginalPaper 24 January 2024 Pages: 209 - 229

    

20. Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomics Model for Preoperative Predicting the Deep Stromal Invasion in Patients with Early Cervical Cancer

    • Haowen Yan
    • Gaoting Huang
    • Zhiming Xiang

    OriginalPaper Open access 10 January 2024 Pages: 230 - 246

    

21. Fetal Ultrasound Segmentation and Measurements Using Appearance and Shape Prior Based Density Regression with Deep CNN and Robust Ellipse Fitting

    • Gaurav Dubey
    • Somya Srivastava
    • Minakshi Memoria

    OriginalPaper 12 January 2024 Pages: 247 - 267

    

22. Developing the Lung Graph-Based Machine Learning Model for Identification of Fibrotic Interstitial Lung Diseases

    • Haishuang Sun
    • Min Liu
    • Huaping Dai

    OriginalPaper Open access 16 January 2024 Pages: 268 - 279

    

23. A Deep Learning-Based Approach for Cervical Cancer Classification Using 3D CNN and Vision Transformer

    • Abinaya K.
    • Sivakumar B.

    OriginalPaper 10 January 2024 Pages: 280 - 296

    

24. Analysis of Validation Performance of a Machine Learning Classifier in Interstitial Lung Disease Cases Without Definite or Probable Usual Interstitial Pneumonia Pattern on CT Using Clinical and Pathology-Supported Diagnostic Labels

    • Marcello Chang
    • Joshua J. Reicher
    • Yousef Ahmad

    OriginalPaper 11 January 2024 Pages: 297 - 307

    

25. Robust Medical Diagnosis: A Novel Two-Phase Deep Learning Framework for Adversarial Proof Disease Detection in Radiology Images

    • Sheikh Burhan ul haque
    • Aasim Zafar

    OriginalPaper 10 January 2024 Pages: 308 - 338

    

26. Deep Learning–Assisted Identification of Femoroacetabular Impingement (FAI) on Routine Pelvic Radiographs

    • Michael K. Hoy
    • Vishal Desai
    • Jeffrey A. Belair

    OriginalPaper 11 January 2024 Pages: 339 - 346

    

27. Pulmonary Nodule Classification Using a Multiview Residual Selective Kernel Network

    • Herng-Hua Chang
    • Cheng-Zhe Wu
    • Audrey Haihong Gallogly

    OriginalPaper 11 January 2024 Pages: 347 - 362

    

28. Application of Machine Learning to Ultrasonography in Identifying Anatomical Landmarks for Cricothyroidotomy Among Female Adults: A Multi-center Prospective Observational Study

    • Chih-Hung Wang
    • Jia-Da Li
    • Chien-Hua Huang

    OriginalPaper Open access 10 January 2024 Pages: 363 - 373

    

29. The Segmentation of Multiple Types of Uterine Lesions in Magnetic Resonance Images Using a Sequential Deep Learning Method with Image-Level Annotations

    • Yu-meng Cui
    • Hua-li Wang
    • Xue-feng Lu

    OriginalPaper 16 January 2024 Pages: 374 - 385

    

30. Review of the Free Research Software for Computer-Assisted Interventions

    • Zaiba Amla
    • Parminder Singh Khehra
    • Elodie Lugez

    ReviewPaper Open access 29 January 2024 Pages: 386 - 401

    

31. Text Report Analysis to Identify Opportunities for Optimizing Target Selection for Chest Radiograph Artificial Intelligence Models

    • Carl Sabottke
    • Jason Lee
    • Raza Mushtaq

    OriginalPaper 12 January 2024 Pages: 402 - 411

    

32. A 3D Sparse Autoencoder for Fully Automated Quality Control of Affine Registrations in Big Data Brain MRI Studies

    • Venkata Sainath Gupta Thadikemalla
    • Niels K. Focke
    • Sudhakar Tummala

    OriginalPaper 10 January 2024 Pages: 412 - 427