Skip to main content

Journal of Imaging Informatics in Medicine

Ausgabe 3/2023

Inhalt (43 Artikel)

Original Paper

Changes in Radiologists’ Gaze Patterns Against Lung X-rays with Different Abnormalities: a Randomized Experiment

Ilya Pershin, Tamerlan Mustafaev, Dilyara Ibragimova, Bulat Ibragimov

Implementing a Streamlined Radiology Workflow to Close the Loop on Incidental Imaging Findings in the Emergency Department

Tianyuan Fu, Sheila Berlin, Amit Gupta, Donna Plecha, Jeffrey Sunshine, Jennifer Sommer

Original Paper

The Virtual Radiology Reading Room: Initial Perceptions of Referring Providers and Radiologists

Joseph H. Yacoub, Matthew D. Bourne, Pranay Krishnan

Open Access

Creating a Medical Imaging Workflow Based on FHIR, DICOMweb, and SVG

Shih-Tsang Tang, Victoria Tjia, Thalia Noga, Jeshika Febri, Chung-Yueh Lien, Woei-Chyn Chu, Chin-Yu Chen, Chia-Hung Hsiao

Open Access Original Paper

The FIND Program: Improving Follow-up of Incidental Imaging Findings

Kaitlin M. Zaki-Metias, Jeffrey J. MacLean, Alexander M. Satei, Serguei Medvedev, Huijuan Wang, Christopher C. Zarour, Paul J. Arpasi

Open Access

Clinical Concept-Based Radiology Reports Classification Pipeline for Lung Carcinoma

Sneha Mithun, Ashish Kumar Jha, Umesh B. Sherkhane, Vinay Jaiswar, Nilendu C. Purandare, Andre Dekker, Sander Puts, Inigo Bermejo, V. Rangarajan, Catharina M. L. Zegers, Leonard Wee

Open Access COVID-19 Original Paper

Identification of Asymptomatic COVID-19 Patients on Chest CT Images Using Transformer-Based or Convolutional Neural Network–Based Deep Learning Models

Minyue Yin, Xiaolong Liang, Zilan Wang, Yijia Zhou, Yu He, Yuhan Xue, Jingwen Gao, Jiaxi Lin, Chenyan Yu, Lu Liu, Xiaolin Liu, Chao Xu, Jinzhou Zhu

Original Paper

Automated Bone Tumor Segmentation and Classification as Benign or Malignant Using Computed Tomographic Imaging

Ilkay Yildiz Potter, Diana Yeritsyan, Sarah Mahar, Jim Wu, Ara Nazarian, Aidin Vaziri, Ashkan Vaziri

Original Paper

Automated Adrenal Gland Disease Classes Using Patch-Based Center Symmetric Local Binary Pattern Technique with CT Images

Suat Kamil Sut, Mustafa Koc, Gokhan Zorlu, Ihsan Serhatlioglu, Prabal Datta Barua, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Ru-San Tan, U. Rajendra Acharya

Original Paper

Using Transfer Learning of Convolutional Neural Network on Neck Radiographs to Identify Acute Epiglottitis

Yang-Tse Lin, Ben-Chang Shia, Chia-Jung Chang, Yueh Wu, Jheng-Dao Yang, Jiunn-Horng Kang

Open Access

CheSS: Chest X-Ray Pre-trained Model via Self-supervised Contrastive Learning

Kyungjin Cho, Ki Duk Kim, Yujin Nam, Jiheon Jeong, Jeeyoung Kim, Changyong Choi, Soyoung Lee, Jun Soo Lee, Seoyeon Woo, Gil-Sun Hong, Joon Beom Seo, Namkug Kim

Development and Validation of CT-Based Radiomics Signature for Overall Survival Prediction in Multi-organ Cancer

Viet Huan Le, Quang Hien Kha, Tran Nguyen Tuan Minh, Van Hiep Nguyen, Van Long Le, Nguyen Quoc Khanh Le

An Unsupervised Learning-Based Regional Deformable Model for Automated Multi-Organ Contour Propagation

Xiaokun Liang, Jingjing Dai, Xuanru Zhou, Lin Liu, Chulong Zhang, Yuming Jiang, Na Li, Tianye Niu, Yaoqin Xie, Zhenhui Dai, Xuetao Wang

Original Paper

Ultrasound Prostate Segmentation Using Adaptive Selection Principal Curve and Smooth Mathematical Model

Tao Peng, Yiyun Wu, Jing Zhao, Caishan Wang, Jin Wang, Jing Cai

PatchResNet: Multiple Patch Division–Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images

Taha Muezzinoglu, Nursena Baygin, Ilknur Tuncer, Prabal Datta Barua, Mehmet Baygin, Sengul Dogan, Turker Tuncer, Elizabeth Emma Palmer, Kang Hao Cheong, U. Rajendra Acharya

Original Paper

An Automated TW3-RUS Bone Age Assessment Method with Ordinal Regression-Based Determination of Skeletal Maturity

Dongxu Zhang, Bowen Liu, Yulin Huang, Yang Yan, Shaowei Li, Jinshui He, Shuyun Zhang, Jun Zhang, Ningshao Xia

Open Access

Improving the Quantitative Analysis of Breast Microcalcifications: A Multiscale Approach

Chrysostomos Marasinou, Bo Li, Jeremy Paige, Akinyinka Omigbodun, Noor Nakhaei, Anne Hoyt, William Hsu

Open Access

Mapping Tumor Heterogeneity via Local Entropy Assessment: Making Biomarkers Visible

Guido Costa, Lara Cavinato, Francesco Fiz, Martina Sollini, Arturo Chiti, Guido Torzilli, Francesca Ieva, Luca Viganò

Open Access Original Paper

AI-Based Automated Lipomatous Tumor Segmentation in MR Images: Ensemble Solution to Heterogeneous Data

Chih-Chieh Liu, Yasser G. Abdelhafez, S. Paran Yap, Francesco Acquafredda, Silvia Schirò, Andrew L. Wong, Dani Sarohia, Cyrus Bateni, Morgan A. Darrow, Michele Guindani, Sonia Lee, Michelle Zhang, Ahmed W. Moawad, Quinn Kwan-Tai Ng, Layla Shere, Khaled M. Elsayes, Roberto Maroldi, Thomas M. Link, Lorenzo Nardo, Jinyi Qi

Review

Use of Deep Neural Networks in the Detection and Automated Classification of Lesions Using Clinical Images in Ophthalmology, Dermatology, and Oral Medicine—A Systematic Review

Rita Fabiane Teixeira Gomes, Lauren Frenzel Schuch, Manoela Domingues Martins, Emerson Ferreira Honório, Rodrigo Marques de Figueiredo, Jean Schmith, Giovanna Nunes Machado, Vinicius Coelho Carrard

Open Access Original Paper

MRI-Based Radiomics Approach Predicts Tumor Recurrence in ER + /HER2 − Early Breast Cancer Patients

Piero Chiacchiaretta, Domenico Mastrodicasa, Antonio Maria Chiarelli, Riccardo Luberti, Pierpaolo Croce, Mario Sguera, Concetta Torrione, Camilla Marinelli, Chiara Marchetti, Angelucci Domenico, Giulio Cocco, Angela Di Credico, Alessandro Russo, Claudia D’Eramo, Antonio Corvino, Marco Colasurdo, Stefano L. Sensi, Marzia Muzi, Massimo Caulo, Andrea Delli Pizzi

Development of Automatic Portable Pathology Scanner and Its Evaluation for Clinical Practice

Peng Jiang, Juan Liu, Qiang Luo, Baochuan Pang, Di Xiao, Dehua Cao

Skin Cancer Classification Using Deep Spiking Neural Network

Syed Qasim Gilani, Tehreem Syed, Muhammad Umair, Oge Marques

Artificial Intelligence for Detecting Cephalometric Landmarks: A Systematic Review and Meta-analysis

Germana de Queiroz Tavares Borges Mesquita, Walbert A. Vieira, Maria Tereza Campos Vidigal, Bruno Augusto Nassif Travençolo, Thiago Leite Beaini, Rubens Spin-Neto, Luiz Renato Paranhos, Rui Barbosa de Brito Júnior

Open Access Original Paper

Extended Multimodal Flat Detector CT Imaging in Acute Ischemic Stroke: A Pilot Study

Philip Hoelter, Stefan Lang, Vanessa Beuscher, Bernd Kallmuenzer, Michael Manhart, Stefan Schwab, Arnd Doerfler

Original Paper

Local Axial Scale-Attention for Universal Lesion Detection

Chuanyu Liu, Yonghong Hou, Pengyu Zhao, Zihui Guo, Yueyang Li, Haoyuan Zhang, Jia Zhou

Effect of Contrast Level and Image Format on a Deep Learning Algorithm for the Detection of Pneumothorax with Chest Radiography

Myeong Seong Yoon, Gitaek Kwon, Jaehoon Oh, Jongbin Ryu, Jongwoo Lim, Bo-kyeong Kang, Juncheol Lee, Dong-Kyoon Han

Open Access Original Paper

RbQE: An Efficient Method for Content-Based Medical Image Retrieval Based on Query Expansion

Metwally Rashad, Ibrahem Afifi, Mohammed Abdelfatah

Original Paper

The Use of Virtual Reality in Teaching Three-Dimensional Anatomy and Pathology on CT

Soham Banerjee, Theresa Pham, Adriene Eastaway, William F. Auffermann, Edward P. Quigley III

Screening-Mammografie offenbart erhöhtes Herz-Kreislauf-Risiko

26.04.2024 Mammografie Nachrichten

Routinemäßige Mammografien helfen, Brustkrebs frühzeitig zu erkennen. Anhand der Röntgenuntersuchung lassen sich aber auch kardiovaskuläre Risikopatientinnen identifizieren. Als zuverlässiger Anhaltspunkt gilt die Verkalkung der Brustarterien.

S3-Leitlinie zu Pankreaskrebs aktualisiert

23.04.2024 Pankreaskarzinom Nachrichten

Die Empfehlungen zur Therapie des Pankreaskarzinoms wurden um zwei Off-Label-Anwendungen erweitert. Und auch im Bereich der Früherkennung gibt es Aktualisierungen.

Fünf Dinge, die im Kindernotfall besser zu unterlassen sind

18.04.2024 Pädiatrische Notfallmedizin Nachrichten

Im Choosing-Wisely-Programm, das für die deutsche Initiative „Klug entscheiden“ Pate gestanden hat, sind erstmals Empfehlungen zum Umgang mit Notfällen von Kindern erschienen. Fünf Dinge gilt es demnach zu vermeiden.

„Nur wer sich gut aufgehoben fühlt, kann auch für Patientensicherheit sorgen“

13.04.2024 Klinik aktuell Kongressbericht

Die Teilnehmer eines Forums beim DGIM-Kongress waren sich einig: Fehler in der Medizin sind häufig in ungeeigneten Prozessen und mangelnder Kommunikation begründet. Gespräche mit Patienten und im Team können helfen.

Update Radiologie

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