Literature DB >> 31543691

Lung Cancer Radiomics: Highlights from the IEEE Video and Image Processing Cup 2018 Student Competition.

Arash Mohammadi, Parnian Afshar, Amir Asif, Keyvan Farahani, Justin Kirby, Anastasia Oikonomou, Konstantinos N Plataniotis.   

Abstract

Entities:  

Year:  2018        PMID： 31543691      PMCID： PMC6753949          DOI： 10.1109/MSP.2018.2877123

Source DB:  PubMed          Journal:  IEEE Signal Process Mag        ISSN： 1053-5888            Impact factor:   12.551


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  17 in total

1.  Deep Radiomics-based Approach to the Diagnosis of Osteoporosis Using Hip Radiographs.

Authors:  Sangwook Kim; Bo Ram Kim; Hee-Dong Chae; Jimin Lee; Sung-Joon Ye; Dong Hyun Kim; Sung Hwan Hong; Ja-Young Choi; Hye Jin Yoo
Journal:  Radiol Artif Intell       Date:  2022-05-25

2.  Development and validation of novel radiomics-based nomograms for the prediction of EGFR mutations and Ki-67 proliferation index in non-small cell lung cancer.

Authors:  Yinjun Dong; Zekun Jiang; Chaowei Li; Shuai Dong; Shengdong Zhang; Yunhong Lv; Fenghao Sun; Shuguang Liu
Journal:  Quant Imaging Med Surg       Date:  2022-05

3.  Development and externally validate MRI-based nomogram to assess EGFR and T790M mutations in patients with metastatic lung adenocarcinoma.

Authors:  Ying Fan; Yue Dong; Huan Wang; Hongbo Wang; Xinyan Sun; Xiaoyu Wang; Peng Zhao; Yahong Luo; Xiran Jiang
Journal:  Eur Radiol       Date:  2022-06-22       Impact factor: 7.034

Review 4.  Radiomics in immuno-oncology.

Authors:  Z Bodalal; I Wamelink; S Trebeschi; R G H Beets-Tan
Journal:  Immunooncol Technol       Date:  2021-04-16

5.  Combining Tumor Segmentation Masks with PET/CT Images and Clinical Data in a Deep Learning Framework for Improved Prognostic Prediction in Head and Neck Squamous Cell Carcinoma.

Authors:  Kareem A Wahid; Renjie He; Cem Dede; Abdallah S R Mohamed; Moamen Abobakr Abdelaal; Lisanne V van Dijk; Clifton D Fuller; Mohamed A Naser
Journal:  Head Neck Tumor Segm Chall (2021)       Date:  2022-03-13

6.  Deep learning-based facial image analysis in medical research: a systematic review protocol.

Authors:  Zhaohui Su; Bin Liang; Feng Shi; J Gelfond; Sabina Šegalo; Jing Wang; Peng Jia; Xiaoning Hao
Journal:  BMJ Open       Date:  2021-11-11       Impact factor: 2.692

7.  A Deep Learning Radiomics Analysis for Survival Prediction in Esophageal Cancer.

Authors:  Junxiu Wang; Jianchao Zeng; Hongwei Li; Xiaoqing Yu
Journal:  J Healthc Eng       Date:  2022-03-24       Impact factor: 2.682

8.  A computer-aided diagnostic framework for coronavirus diagnosis using texture-based radiomics images.

Authors:  Omneya Attallah
Journal:  Digit Health       Date:  2022-04-11

9.  Deep Learning for Prediction of Progression and Recurrence in Nonfunctioning Pituitary Macroadenomas: Combination of Clinical and MRI Features.

Authors:  Yan-Jen Chen; Hsun-Ping Hsieh; Kuo-Chuan Hung; Yun-Ju Shih; Sher-Wei Lim; Yu-Ting Kuo; Jeon-Hor Chen; Ching-Chung Ko
Journal:  Front Oncol       Date:  2022-04-20       Impact factor: 5.738

Review 10.  A deep look into radiomics.

Authors:  Camilla Scapicchio; Michela Gabelloni; Andrea Barucci; Dania Cioni; Luca Saba; Emanuele Neri
Journal:  Radiol Med       Date:  2021-07-02       Impact factor: 3.469
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