A citation-based method for searching scientific literature

Lang Qian, Zhikun Lv, Kai Zhang, Kun Wang, Qian Zhu, Shichong Zhou, Cai Chang, Jie Tian. Ann Transl Med 2021
Times Cited: 2







List of co-cited articles
3 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer.
Xueyi Zheng, Zhao Yao, Yini Huang, Yanyan Yu, Yun Wang, Yubo Liu, Rushuang Mao, Fei Li, Yang Xiao, Yuanyuan Wang,[...]. Nat Commun 2020
118
100

Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning.
Li-Qiang Zhou, Xing-Long Wu, Shu-Yan Huang, Ge-Ge Wu, Hua-Rong Ye, Qi Wei, Ling-Yun Bao, You-Bin Deng, Xing-Rui Li, Xin-Wu Cui,[...]. Radiology 2020
84
100

Decoding the molecular subtypes of breast cancer seen on multimodal ultrasound images using an assembled convolutional neural network model: A prospective and multicentre study.
Bo-Yang Zhou, Li-Fan Wang, Hao-Hao Yin, Ting-Fan Wu, Tian-Tian Ren, Chuan Peng, De-Xuan Li, Hui Shi, Li-Ping Sun, Chong-Ke Zhao,[...]. EBioMedicine 2021
4
100

Study on automatic detection and classification of breast nodule using deep convolutional neural network system.
Feiqian Wang, Xiaotong Liu, Na Yuan, Buyue Qian, Litao Ruan, Changchang Yin, Ciping Jin. J Thorac Dis 2020
10
50

Feasibility of using deep learning to detect coronary artery disease based on facial photo.
Shen Lin, Zhigang Li, Bowen Fu, Sipeng Chen, Xi Li, Yang Wang, Xiaoyi Wang, Bin Lv, Bo Xu, Xiantao Song,[...]. Eur Heart J 2020
31
50


Impact of Screening on Breast Cancer Mortality: The UK Program 20 Years On.
Nathalie J Massat, Amanda Dibden, Dharmishta Parmar, Jack Cuzick, Peter D Sasieni, Stephen W Duffy. Cancer Epidemiol Biomarkers Prev 2016
53
50

Prognostic factors analysis for oral cavity cancer survival in the Netherlands and Taiwan using a privacy-preserving federated infrastructure.
Gijs Geleijnse, RuRu Chun-Ju Chiang, Melle Sieswerda, Melinda Schuurman, K C Lee, Johan van Soest, Andre Dekker, Wen-Chung Lee, Xander A A M Verbeek. Sci Rep 2020
4
50

Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer.
Yan-Qi Huang, Chang-Hong Liang, Lan He, Jie Tian, Cui-Shan Liang, Xin Chen, Ze-Lan Ma, Zai-Yi Liu. J Clin Oncol 2016
940
50

One step further into the blackbox: a pilot study of how to build more confidence around an AI-based decision system of breast nodule assessment in 2D ultrasound.
Fajin Dong, Ruilian She, Chen Cui, Siyuan Shi, Xuqiao Hu, Jieying Zeng, Huaiyu Wu, Jinfeng Xu, Yun Zhang. Eur Radiol 2021
8
50

Environment Classification for Robotic Leg Prostheses and Exoskeletons Using Deep Convolutional Neural Networks.
Brokoslaw Laschowski, William McNally, Alexander Wong, John McPhee. Front Neurorobot 2022
7
50

Deeply-Supervised Networks With Threshold Loss for Cancer Detection in Automated Breast Ultrasound.
Yi Wang, Na Wang, Min Xu, Junxiong Yu, Chenchen Qin, Xiao Luo, Xin Yang, Tianfu Wang, Anhua Li, Dong Ni. IEEE Trans Med Imaging 2020
25
50

Deep learning with convolutional neural network in the assessment of breast cancer molecular subtypes based on US images: a multicenter retrospective study.
Meng Jiang, Di Zhang, Shi-Chu Tang, Xiao-Mao Luo, Zhi-Rui Chuan, Wen-Zhi Lv, Fan Jiang, Xue-Jun Ni, Xin-Wu Cui, Christoph F Dietrich. Eur Radiol 2021
12
50

Radiomics Analysis on Ultrasound for Prediction of Biologic Behavior in Breast Invasive Ductal Carcinoma.
Yi Guo, Yuzhou Hu, Mengyun Qiao, Yuanyuan Wang, Jinhua Yu, Jiawei Li, Cai Chang. Clin Breast Cancer 2018
69
50

Learning a Deep CNN Denoising Approach Using Anatomical Prior Information Implemented With Attention Mechanism for Low-Dose CT Imaging on Clinical Patient Data From Multiple Anatomical Sites.
Zhenxing Huang, Xinfeng Liu, Rongpin Wang, Zixiang Chen, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu. IEEE J Biomed Health Inform 2021
4
50

Diagnostic ultrasonography and mammography for invasive and noninvasive breast cancer in women aged 30 to 39 years.
Tomo Osako, Kaoru Takahashi, Takuji Iwase, Kotaro Iijima, Yumi Miyagi, Seiichiro Nishimura, Keiichiro Tada, Masujiro Makita, Futoshi Akiyama, Goi Sakamoto,[...]. Breast Cancer 2007
23
50

Dermatologist-level classification of skin cancer with deep neural networks.
Andre Esteva, Brett Kuprel, Roberto A Novoa, Justin Ko, Susan M Swetter, Helen M Blau, Sebastian Thrun. Nature 2017
50

Diagnostic evaluation of ductal carcinoma in situ of the breast: ultrasonographic, mammographic and histopathologic correlations.
Zhan-Qiang Jin, Mei-Ying Lin, Wan-Qing Hao, Hua-Tang Jiang, Li Zhang, Wen-Hua Hu, Miao Zhang. Ultrasound Med Biol 2015
19
50


3-D Res-CapsNet convolutional neural network on automated breast ultrasound tumor diagnosis.
Huiling Xiang, Yao-Sian Huang, Chu-Hsuan Lee, Ting-Yin Chang Chien, Cheng-Kuang Lee, Lixian Liu, Anhua Li, Xi Lin, Ruey-Feng Chang. Eur J Radiol 2021
2
50

Deep Learning in Radiology: Does One Size Fit All?
Bradley J Erickson, Panagiotis Korfiatis, Timothy L Kline, Zeynettin Akkus, Kenneth Philbrick, Alexander D Weston. J Am Coll Radiol 2018
43
50

MR-guided vacuum-assisted breast biopsy of MRI-only lesions: a single center experience.
Claudio Spick, Melanie Schernthaner, Katja Pinker, Panagiotis Kapetas, Maria Bernathova, Stephan H Polanec, Hubert Bickel, Georg J Wengert, Margaretha Rudas, Thomas H Helbich,[...]. Eur Radiol 2016
24
50


Type of breast cancer diagnosis, screening, and survival.
Carla Cedolini, Serena Bertozzi, Ambrogio P Londero, Sergio Bernardi, Luca Seriau, Serena Concina, Federico Cattin, Andrea Risaliti. Clin Breast Cancer 2014
63
50

Video-based AI for beat-to-beat assessment of cardiac function.
David Ouyang, Bryan He, Amirata Ghorbani, Neal Yuan, Joseph Ebinger, Curtis P Langlotz, Paul A Heidenreich, Robert A Harrington, David H Liang, Euan A Ashley,[...]. Nature 2020
118
50

Why is real-world visual object recognition hard?
Nicolas Pinto, David D Cox, James J DiCarlo. PLoS Comput Biol 2008
126
50

Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans.
Jie-Zhi Cheng, Dong Ni, Yi-Hong Chou, Jing Qin, Chui-Mei Tiu, Yeun-Chung Chang, Chiun-Sheng Huang, Dinggang Shen, Chung-Ming Chen. Sci Rep 2016
244
50

Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non-Small Cell Lung Cancer.
Yanqi Huang, Zaiyi Liu, Lan He, Xin Chen, Dan Pan, Zelan Ma, Cuishan Liang, Jie Tian, Changhong Liang. Radiology 2016
419
50



Deep Convolutional Neural Networks for breast cancer screening.
Hiba Chougrad, Hamid Zouaki, Omar Alheyane. Comput Methods Programs Biomed 2018
95
50

Cancer Statistics, 2021.
Rebecca L Siegel, Kimberly D Miller, Hannah E Fuchs, Ahmedin Jemal. CA Cancer J Clin 2021
50

Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph.
Xuhua Ren, Tingting Li, Xiujun Yang, Shuai Wang, Sahar Ahmad, Lei Xiang, Shaun Richard Stone, Lihong Li, Yiqiang Zhan, Dinggang Shen,[...]. IEEE J Biomed Health Inform 2019
23
50

Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks.
Moi Hoon Yap, Gerard Pons, Joan Marti, Sergi Ganau, Melcior Sentis, Reyer Zwiggelaar, Adrian K Davison, Robert Marti, Moi Hoon Yap, Gerard Pons,[...]. IEEE J Biomed Health Inform 2018
176
50

A deep learning framework for supporting the classification of breast lesions in ultrasound images.
Seokmin Han, Ho-Kyung Kang, Ja-Yeon Jeong, Moon-Ho Park, Wonsik Kim, Won-Chul Bang, Yeong-Kyeong Seong. Phys Med Biol 2017
118
50

Generating Region of Interests for Invasive Breast Cancer in Histopathological Whole-Slide-Image.
Shreyas Malakarjun Patil, Li Tong, May D Wang. Proc COMPSAC 2020
5
50

Automated diagnosis of breast ultrasonography images using deep neural networks.
Xiaofeng Qi, Lei Zhang, Yao Chen, Yong Pi, Yi Chen, Qing Lv, Zhang Yi. Med Image Anal 2019
47
50


Overview of radiomics in breast cancer diagnosis and prognostication.
Alberto Stefano Tagliafico, Michele Piana, Daniela Schenone, Rita Lai, Anna Maria Massone, Nehmat Houssami. Breast 2020
71
50

BI-RADS update.
Cecilia L Mercado. Radiol Clin North Am 2014
96
50

Utilizing size-based thresholds of stiffness gradient to reclassify BI-RADS category 3-4b lesions increases diagnostic performance.
J Shang, L-T Ruan, Y-Y Wang, X-J Zhang, Y Dang, B Liu, W-L Wang, Y Song, S-J Chang. Clin Radiol 2019
6
50

Application of ultrasound artificial intelligence in the differential diagnosis between benign and malignant breast lesions of BI-RADS 4A.
Sihua Niu, Jianhua Huang, Jia Li, Xueling Liu, Dan Wang, Ruifang Zhang, Yingyan Wang, Huiming Shen, Min Qi, Yi Xiao,[...]. BMC Cancer 2020
10
50

Rapid review: radiomics and breast cancer.
Francesca Valdora, Nehmat Houssami, Federica Rossi, Massimo Calabrese, Alberto Stefano Tagliafico. Breast Cancer Res Treat 2018
124
50

Evaluating the Accuracy of Breast Cancer and Molecular Subtype Diagnosis by Ultrasound Image Deep Learning Model.
Xianyu Zhang, Hui Li, Chaoyun Wang, Wen Cheng, Yuntao Zhu, Dapeng Li, Hui Jing, Shu Li, Jiahui Hou, Jiaying Li,[...]. Front Oncol 2021
15
50



Cancer statistics for the year 2020: An overview.
Jacques Ferlay, Murielle Colombet, Isabelle Soerjomataram, Donald M Parkin, Marion Piñeros, Ariana Znaor, Freddie Bray. Int J Cancer 2021
729
50

Detection of micrometastatic disease and monitoring of perioperative tumor cell dissemination in primary operable breast cancer patients using real-time quantitative reverse transcription-PCR.
Mohamed Saad Ismail, Wim Wynendaele, Joeri L E Aerts, Robert Paridaens, Rabab Gaafar, Nayera Shakankiry, Hussein M Khaled, Marie-Rose Christiaens, Hans Wildiers, Sherif Omar,[...]. Clin Cancer Res 2004
23
50

Complete breast autoamputation: Clinical image.
Arda Isik, Nurten Isik, Eray Kurnaz. Breast J 2020
8
50

Ultrasound positive predictive values by BI-RADS categories 3-5 for solid masses: An independent reader study.
A Thomas Stavros, Andrea G Freitas, Giselle G N deMello, Lora Barke, Dennis McDonald, Terese Kaske, Ducly Wolverton, Arnold Honick, Daniela Stanzani, Adriana H Padovan,[...]. Eur Radiol 2017
12
50


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.