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Journal of Imaging Informatics in Medicine

Issue 1/2025

Content (50 Articles)

Summary of the National Cancer Institute 2023 Virtual Workshop on Medical Image De-identification—Part 1: Report of the MIDI Task Group - Best Practices and Recommendations, Tools for Conventional Approaches to De-identification, International Approaches to De-identification, and Industry Panel on Image De-identification

David Clunie, Fred Prior, Michael Rutherford, Stephen Moore, William Parker, Haridimos Kondylakis, Christian Ludwigs, Juergen Klenk, Bob Lou, Lawrence (Tony) O’Sullivan, Dan Marcus, Jiri Dobes, Abraham Gutman, Keyvan Farahani

Summary of the National Cancer Institute 2023 Virtual Workshop on Medical Image De-identification—Part 2: Pathology Whole Slide Image De-identification, De-facing, the Role of AI in Image De-identification, and the NCI MIDI Datasets and Pipeline

David Clunie, Adam Taylor, Tom Bisson, David Gutman, Ying Xiao, Christopher G. Schwarz, Douglas Greve, Judy Gichoya, George Shih, Adrienne Kline, Ben Kopchick, Keyvan Farahani

Artificial Intelligence Application in Skull Bone Fracture with Segmentation Approach

Chia-Yin Lu, Yu-Hsin Wang, Hsiu-Ling Chen, Yu-Xin Goh, I-Min Chiu, Ya-Yuan Hou, Kuei-Hong Kuo, Wei-Che Lin

Adrenal Volume Quantitative Visualization Tool by Multiple Parameters and an nnU-Net Deep Learning Automatic Segmentation Model

  • Open Access

Yi Li, Yingnan Zhao, Ping Yang, Caihong Li, Liu Liu, Xiaofang Zhao, Huali Tang, Yun Mao

TransMVAN: Multi-view Aggregation Network with Transformer for Pneumonia Diagnosis

Xiaohong Wang, Zhongkang Lu, Su Huang, Yonghan Ting, Jordan Sim Zheng Ting, Wenxiang Chen, Cher Heng Tan, Weimin Huang

AI-assisted Segmentation Tool for Brain Tumor MR Image Analysis

Myungeun Lee, Jong Hyo Kim, Wookjin Choi, Ki Hong Lee

Minimal Detectable Bone Fracture Gaps in CT Images and Digital Three-Dimensional (3D) Radii Models

Martin Bittner-Frank, Andreas Strassl, Ewald Unger, Lena Hirtler, Barbara Eckhart, Markus Koenigshofer, Alexander Stoegner, Kevin Staats, Franz Kainberger, Reinhard Windhager, Francesco Moscato, Emir Benca

CapNet: An Automatic Attention-Based with Mixer Model for Cardiovascular Magnetic Resonance Image Segmentation

Tien Viet Pham, Tu Ngoc Vu, Hoang-Minh-Quang Le, Van-Truong Pham, Thi-Thao Tran

Diagnostic Accuracy of Ultra-Low Dose CT Compared to Standard Dose CT for Identification of Fresh Rib Fractures by Deep Learning Algorithm

Peikai Huang, Hongyi Li, Fenghuan Lin, Ming Lei, Meng Zhang, Jingfeng Liu, JunChen, Junfei Hou, Mengqiang Xiao

Multi-parameter MRI-Based Machine Learning Model to Evaluate the Efficacy of STA-MCA Bypass Surgery for Moyamoya Disease: A Pilot Study

Huaizhen Wang, Jizhen Li, Jinming Chen, Meilin Li, Jiahao Liu, Lingzhen Wei, Qingshi Zeng

Metastatic Lung Adenocarcinomas: Development and Evaluation of Radiomic-Based Methods to Measure Baseline Intra-Patient Inter-Tumor Lesion Heterogeneity

Mathilde Lafon, Sophie Cousin, Mélissa Alamé, Stéphanie Nougaret, Antoine Italiano, Amandine Crombé

Policy Learning for Actively Labeled Sample Selection on Lumbar Semi-supervised Classification

Jinjin Hai, Jian Chen, Kai Qiao, Zhihai Su, Hai Lu, Bin Yan

Balancing Performance and Interpretability in Medical Image Analysis: Case study of Osteopenia

Mateo Mikulić, Dominik Vičević, Eszter Nagy, Mateja Napravnik, Ivan Štajduhar, Sebastian Tschauner, Franko Hržić

Fully and Weakly Supervised Deep Learning for Meniscal Injury Classification, and Location Based on MRI

Kexin Jiang, Yuhan Xie, Xintao Zhang, Xinru Zhang, Beibei Zhou, Mianwen Li, Yanjun Chen, Jiaping Hu, Zhiyong Zhang, Shaolong Chen, Keyan Yu, Changzhen Qiu, Xiaodong Zhang

The Use of fMRI Regional Analysis to Automatically Detect ADHD Through a 3D CNN-Based Approach

Perihan Gülşah Gülhan, Güzin Özmen

MGB-Unet: An Improved Multiscale Unet with Bottleneck Transformer for Myositis Segmentation from Ultrasound Images

Allaa Hussein, Sherin Youssef, Magdy A. Ahmed, Noha Ghatwary

A Boundary-Enhanced Decouple Fusion Segmentation Network for Diagnosis of Adenomatous Polyps

Jiaoju Wang, Haoran Feng, Alphonse Houssou Hounye, Meiling Tang, Yiming Shu, Muzhou Hou, Shuijiao Chen

AG-MSTLN-EL: A Multi-source Transfer Learning Approach to Brain Tumor Detection

Shivaprasad Biradar, Virupakshappa

TransDiffSeg: Transformer-Based Conditional Diffusion Segmentation Model for Abdominal Multi-Objective

WenWen Gu, GuoDong Zhang, RongHui Ju, SuRan Wang, YanLin Li, TingYu Liang, Wei Guo, ZhaoXuan Gong

Airway and Airway Obstruction Site Segmentation Study Using U-Net with Drug-Induced Sleep Endoscopy Images

Yeong Hun Kang, Jin Youp Kim, Young Jae Kim, Sung Hyun Kim, Kwang Gi Kim, Chae-Seo Rhee

Heatmap-Based Active Shape Model for Landmark Detection in Lumbar X-ray Images

Minho Choi, Jun-Su Jang

Automated 3D Cobb Angle Measurement Using U-Net in CT Images of Preoperative Scoliosis Patients

Lening Li, Teng Zhang, Fan Lin, Yuting Li, Man-Sang Wong

A Novel Radiology Communication Tool to Reduce Workflow Interruptions: Clinical Evaluation of RadConnect

Merlijn Sevenster, Kenneth F. M. Hergaarden, Omar Hertgers, Natalie H. M. Kruithof, Joost J. H. Roelofs, Jessica C. Foster-Dingley, Stephan R. Romeijn, Duy Duc Nguyen, Sandra Vosbergen, Hildo J. Lamb

Fine-Tuned Large Language Model for Extracting Patients on Pretreatment for Lung Cancer from a Picture Archiving and Communication System Based on Radiological Reports

Koichiro Yasaka, Jun Kanzawa, Noriko Kanemaru, Saori Koshino, Osamu Abe

Deep Learning–Based Localization and Detection of Malpositioned Nasogastric Tubes on Portable Supine Chest X-Rays in Intensive Care and Emergency Medicine: A Multi-center Retrospective Study

Chih-Hung Wang, Tianyu Hwang, Yu-Sen Huang, Joyce Tay, Cheng-Yi Wu, Meng-Che Wu, Holger R. Roth, Dong Yang, Can Zhao, Weichung Wang, Chien-Hua Huang

Cutting Edge to Cutting Time: Can ChatGPT Improve the Radiologist’s Reporting?

Rayan A. Ahyad, Yasir Zaylaee, Tasneem Hassan, Ohood Khoja, Yasser Noorelahi, Ahmed Alharthy, Hatim Alabsi, Reem Mimish, Arwa Badeeb

Evaluating the Accuracy and Impact of the ESR-iGuide Decision Support Tool in Optimizing CT Imaging Referral Appropriateness

Osnat Luxenburg, Sharona Vaknin, Rachel Wilf-Miron, Mor Saban

A Cloud-Based System for Automated AI Image Analysis and Reporting

Neil Chatterjee, Jeffrey Duda, James Gee, Ameena Elahi, Kristen Martin, Van Doan, Hannah Liu, Matthew Maclean, Daniel Rader, Arijitt Borthakur, Charles Kahn, Hersh Sagreiya, Walter Witschey

Deep Learning-Based Detect-Then-Track Pipeline for Treatment Outcome Assessments in Immunotherapy-Treated Liver Cancer

Jie Zhou, Yujia Xia, Xiaolei Xun, Zhangsheng Yu

Concomitant Prediction of the Ki67 and PIT-1 Expression in Pituitary Adenoma Using Different Radiomics Models

Fangzheng Liu, Yuying Zang, Limei Feng, Xinyao Shi, Wentao Wu, Xin Liu, Yifan Song, Jintian Xu, Songbai Gui, Xuzhu Chen

Analysis of Diagnostic Efficacy of the International Ovarian Tumor Analysis ADNEX Model and the ACR O-RADS US (Ovarian-Adnexal Reporting and Data System) for Benign and Malignant Ovarian Tumors: A Retrospective Study in a Tumor Center in Northeast China

  • Original Paper

Di Zhong, Xiao-Qiang Gao, Hai-Xia Li, Hong-Bo Wang, Ying Liu

Benchmarking PathCLIP for Pathology Image Analysis

Sunyi Zheng, Xiaonan Cui, Yuxuan Sun, Jingxiong Li, Honglin Li, Yunlong Zhang, Pingyi Chen, Xueping Jing, Zhaoxiang Ye, Lin Yang

Robust ROI Detection in Whole Slide Images Guided by Pathologists’ Viewing Patterns

  • Open Access

Fatemeh Ghezloo, Oliver H. Chang, Stevan R. Knezevich, Kristin C. Shaw, Kia Gianni Thigpen, Lisa M. Reisch, Linda G. Shapiro, Joann G. Elmore

Enhanced Domain Adaptation for Foot Ulcer Segmentation Through Mixing Self-Trained Weak Labels

David Jozef Hresko, Peter Drotar, Quoc Cuong Ngo, Dinesh Kant Kumar

Allergy Wheal and Erythema Segmentation Using Attention U-Net

Yul Hee Lee, Ji-Su Shim, Young Jae Kim, Ji Soo Jeon, Sung-Yoon Kang, Sang Pyo Lee, Sang Min Lee, Kwang Gi Kim

3D Features Fusion for Automated Segmentation of Fluid Regions in CSCR Patients: An OCT-based Photodynamic Therapy Response Analysis

Elena Goyanes, Joaquim de Moura, José I. Fernández-Vigo, Julián García-Feijóo, Jorge Novo, Marcos Ortega

DEAF-Net: Detail-Enhanced Attention Feature Fusion Network for Retinal Vessel Segmentation

Pengfei Cai, Biyuan Li, Gaowei Sun, Bo Yang, Xiuwei Wang, Chunjie Lv, Jun Yan

Retina Blood Vessels Segmentation and Classification with the Multi-featured Approach

Usharani Bhimavarapu

RadImageNet and ImageNet as Datasets for Transfer Learning in the Assessment of Dental Radiographs: A Comparative Study

  • Open Access

Shota Okazaki, Yuichi Mine, Yuki Yoshimi, Yuko Iwamoto, Shota Ito, Tzu-Yu Peng, Taku Nishimura, Tomoya Suehiro, Yuma Koizumi, Ryota Nomura, Kotaro Tanimoto, Naoya Kakimoto, Takeshi Murayama

A Deep Learning-Based Approach to Detect Lamina Dura Loss on Periapical Radiographs

Büşra Şahin, İlknur Eninanç

Deep Convolutional Neural Network for Automated Staging of Periodontal Bone Loss Severity on Bite-wing Radiographs: An Eigen-CAM Explainability Mapping Approach

Mediha Erturk, Muhammet Üsame Öziç, Melek Tassoker

Evolutionary Strategies Enable Systematic and Reliable Uncertainty Quantification: A Proof-of-Concept Pilot Study on Resting-State Functional MRI Language Lateralization

Joseph N. Stember, Katharine Dishner, Mehrnaz Jenabi, Luca Pasquini, Kyung K Peck, Atin Saha, Akash Shah, Bernard O’Malley, Ahmet Turan Ilica, Lori Kelly, Julio Arevalo-Perez, Vaios Hatzoglou, Andrei Holodny, Hrithwik Shalu

AutoCorNN: An Unsupervised Physics-Aware Deep Learning Model for Geometric Distortion Correction of Brain MRI Images Towards MR-Only Stereotactic Radiosurgery

Mahboube Sadat Hosseini, Seyed Mahmoud Reza Aghamiri, Ali Fatemi Ardekani, Seyed Mehdi BagheriMofidi, Mojtaba Safari

IEA-Net: Internal and External Dual-Attention Medical Segmentation Network with High-Performance Convolutional Blocks

  • Original Paper

Bincheng Peng, Chao Fan

US & MR/CT Image Fusion with Markerless Skin Registration: A Proof of Concept

  • Open Access

Martina Paccini, Giacomo Paschina, Stefano De Beni, Andrei Stefanov, Velizar Kolev, Giuseppe Patanè

Let UNet Play an Adversarial Game: Investigating the Effect of Adversarial Training in Enhancing Low-Resolution MRI

Mohammad Javadi, Rishabh Sharma, Panagiotis Tsiamyrtzis, Andrew G. Webb, Ernst Leiss, Nikolaos V. Tsekos

Multisensory Extended Reality Applications Offer Benefits for Volumetric Biomedical Image Analysis in Research and Medicine

Kathrin Krieger, Jan Egger, Jens Kleesiek, Matthias Gunzer, Jianxu Chen

My Experience with Academy — Advancing Innovation in Imaging

  • Letter to the Editor

Mana Moassefi

Correction to: Deep Learning Glioma Grading with the Tumor Microenvironment Analysis Protocol for Comprehensive Learning, Discovering, and Quantifying Microenvironmental Features

  • Open Access
  • Glioma
  • Correction

M. Pytlarz, K. Wojnicki, P. Pilanc, B. Kaminska, A. Crimi

Correction: A Multiparametric MRI-based Radiomics Model for Stratifying Postoperative Recurrence in Luminal B Breast Cancer

  • Open Access
  • Correction

Kepei Xu, Meiqi Hua, Ting Mai, Xiaojing Ren, Xiaozheng Fang, Chunjie Wang, Min Ge, Hua Qian, Maosheng Xu, Ruixin Zhang

Dec 24
Issue: Special Issue 1/2024
Scientific Abstracts from the 2024 Conference on Machine Intelligence in Medical Imaging (CMIMI) of the Society for Imaging Informatics in Medicine (SIIM)
Apr 25
Issue: 2/2025

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