{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T06:15:19Z","timestamp":1783923319174,"version":"3.55.0"},"reference-count":72,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Expert Systems with Applications"],"published-print":{"date-parts":[[2027,1]]},"DOI":"10.1016\/j.eswa.2026.133482","type":"journal-article","created":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T16:43:31Z","timestamp":1783529011000},"page":"133482","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PB","title":["Needle tracking for free-hand ultrasound-guided percutaneous liver tumor ablations"],"prefix":"10.1016","volume":"332","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5590-3229","authenticated-orcid":false,"given":"Ningtao","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7734-2752","authenticated-orcid":false,"given":"Shuwei","family":"Xing","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1095-3553","authenticated-orcid":false,"given":"Derek W.","family":"Cool","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3548-5875","authenticated-orcid":false,"given":"Jing","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3296-4181","authenticated-orcid":false,"given":"Luguang","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3771-2151","authenticated-orcid":false,"given":"Kun","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2619-6481","authenticated-orcid":false,"given":"Shuiping","family":"Gou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3525-2788","authenticated-orcid":false,"given":"Aaron","family":"Fenster","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.eswa.2026.133482_bib0001","unstructured":"Agarap, A. (2018). Deep learning using rectified linear units (relu). arXiv preprint arXiv: 1803.08375."},{"issue":"11","key":"10.1016\/j.eswa.2026.133482_bib0002","doi-asserted-by":"crossref","first-page":"2204","DOI":"10.1109\/TMI.2017.2712367","article-title":"Sononet: Real-time detection and localisation of fetal standard scan planes in freehand ultrasound","volume":"36","author":"Baumgartner","year":"2017","journal-title":"IEEE transactions on medical imaging"},{"key":"10.1016\/j.eswa.2026.133482_bib0003","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1007\/s11548-020-02227-7","article-title":"Enhancement of needle visualization and localization in ultrasound","volume":"16","author":"Beigi","year":"2021","journal-title":"International Journal of Computer Assisted Radiology and Surgery"},{"key":"10.1016\/j.eswa.2026.133482_bib0004","series-title":"European conference on computer vision","first-page":"213","article-title":"End-to-end object detection with transformers","author":"Carion","year":"2020"},{"issue":"1","key":"10.1016\/j.eswa.2026.133482_bib0005","doi-asserted-by":"crossref","first-page":"1","DOI":"10.2214\/ajr.154.1.2104689","article-title":"Ct and sonographically guided needle biopsy: Current techniques and new innovations","volume":"154","author":"Charboneau","year":"1990","journal-title":"AJR. American Journal of Roentgenology"},{"issue":"9","key":"10.1016\/j.eswa.2026.133482_bib0006","doi-asserted-by":"crossref","first-page":"2439","DOI":"10.1109\/TMI.2021.3078370","article-title":"Domain knowledge powered deep learning for breast cancer diagnosis based on contrast-enhanced ultrasound videos","volume":"40","author":"Chen","year":"2021","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"10.1016\/j.eswa.2026.133482_bib0007","series-title":"Do as sonographers think: Contrast-enhanced ultrasound for thyroid nodules diagnosis via microvascular infiltrative awareness","first-page":"3881","volume":"43","author":"Chen","year":"2024"},{"key":"10.1016\/j.eswa.2026.133482_bib0008","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2024.103280","article-title":"Transunet: Rethinking the u-net architecture design for medical image segmentation through the lens of transformers","volume":"97","author":"Chen","year":"2024","journal-title":"Medical Image Analysis"},{"issue":"1","key":"10.1016\/j.eswa.2026.133482_bib0009","doi-asserted-by":"crossref","first-page":"207","DOI":"10.3390\/app15010207","article-title":"Accurate needle localization in the image frames of ultrasound videos","volume":"15","author":"Daoud","year":"2024","journal-title":"Applied Sciences"},{"key":"10.1016\/j.eswa.2026.133482_bib0010","unstructured":"Department of Medical Administration, N. H. C. o. t. P. R. o. C.(2024). Guideline for diagnosis and treatment of primary liver cancer (2024 edition). Chinese Journal of Digestive Surgery, 23, 429\u2013478."},{"key":"10.1016\/j.eswa.2026.133482_bib0011","series-title":"In medical imaging 2018: image-guided procedures, robotic interventions, and modeling","first-page":"374","article-title":"Needle deflection in thermal ablation procedures of liver tumors: A ct image analysis","volume":"vol. 10576","author":"De","year":"2018"},{"key":"10.1016\/j.eswa.2026.133482_bib0012","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1055\/s-0039-1698755","article-title":"Individualized ablation of hepatocellular carcinoma: tailored approaches across the phenotype spectrum","volume":"36","author":"Devcic","year":"2019","journal-title":"Seminars in Interventional Radiology"},{"key":"10.1016\/j.eswa.2026.133482_bib0013","unstructured":"Dosovitskiy, A. (2020). An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv: 2010.11929."},{"issue":"8","key":"10.1016\/j.eswa.2026.133482_bib0014","doi-asserted-by":"crossref","first-page":"1971","DOI":"10.1118\/1.1287437","article-title":"An algorithm for automatic needle localization in ultrasound-guided breast biopsies","volume":"27","author":"Draper","year":"2000","journal-title":"Medical Physics"},{"issue":"4","key":"10.1016\/j.eswa.2026.133482_bib0015","doi-asserted-by":"crossref","first-page":"1022","DOI":"10.2214\/ajr.164.4.7726021","article-title":"Sonographically guided core-needle biopsy of breast masses: The\u201d bayonet artifact","volume":"164","author":"Fornage","year":"1995","journal-title":"AJR. American journal of roentgenology"},{"issue":"10","key":"10.1016\/j.eswa.2026.133482_bib0016","doi-asserted-by":"crossref","first-page":"4956","DOI":"10.1002\/mp.14427","article-title":"Deep learning segmentation of general interventional tools in two-dimensional ultrasound images","volume":"47","author":"Gillies","year":"2020","journal-title":"Medical Physics"},{"key":"10.1016\/j.eswa.2026.133482_bib0017","series-title":"2015 IEEE international conference on computer vision (ICCV)","first-page":"1440","article-title":"Fast r-cnn","author":"Girshick","year":"2015"},{"key":"10.1016\/j.eswa.2026.133482_bib0018","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"7886","article-title":"Motion-aware needle segmentation in ultrasound images","author":"Goel","year":"2024"},{"issue":"1","key":"10.1016\/j.eswa.2026.133482_bib0019","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1109\/TUFFC.2023.3330539","article-title":"Transformer-based automated segmentation of the median nerve in ultrasound videos of wrist-to-elbow region","volume":"71","author":"Gujarati","year":"2023","journal-title":"IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control"},{"issue":"10","key":"10.1016\/j.eswa.2026.133482_bib0020","doi-asserted-by":"crossref","first-page":"5023","DOI":"10.1109\/JBHI.2022.3209589","article-title":"Fetal ultrasound standard plane detection with coarse-to-fine multi-task learning","volume":"27","author":"Guo","year":"2022","journal-title":"IEEE Journal of Biomedical and Health Informatics"},{"key":"10.1016\/j.eswa.2026.133482_bib0021","series-title":"Proceedings of the IEEE international conference on computer vision","first-page":"2961","article-title":"Mask r-cnn","author":"He","year":"2017"},{"key":"10.1016\/j.eswa.2026.133482_bib0022","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","first-page":"770","article-title":"Deep residual learning for image recognition","author":"He","year":"2016"},{"key":"10.1016\/j.eswa.2026.133482_bib0023","doi-asserted-by":"crossref","DOI":"10.1016\/j.ejro.2023.100501","article-title":"Ablation margin quantification after thermal ablation of malignant liver tumors: How to optimize the procedure? A systematic review of the available evidence","volume":"11","author":"Hendriks","year":"2023","journal-title":"European Journal of Radiology Open"},{"key":"10.1016\/j.eswa.2026.133482_bib0024","series-title":"2023 IEEE 3rd international conference on information technology, big data and artificial intelligence (ICIBA)","first-page":"735","article-title":"Impression network for video object detection","volume":"vol. 3","author":"Hetang","year":"2023"},{"issue":"8","key":"10.1016\/j.eswa.2026.133482_bib0025","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","article-title":"Long short-term memory","volume":"9","author":"Hochreiter","year":"1997","journal-title":"Neural computation"},{"key":"10.1016\/j.eswa.2026.133482_bib0026","first-page":"13352","article-title":"Video instance segmentation using inter-frame communication transformers","volume":"34","author":"Hwang","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"10.1016\/j.eswa.2026.133482_bib0027","series-title":"Urfm: A general ultrasound representation foundation model for advancing ultrasound image diagnosis","volume":"28","author":"Kang","year":"2025"},{"key":"10.1016\/j.eswa.2026.133482_bib0028","series-title":"2014 IEEE international conference on robotics and automation (ICRA)","first-page":"4881","article-title":"Needle localization using gabor filtering in 2d ultrasound images","author":"Kaya","year":"2014"},{"issue":"3","key":"10.1016\/j.eswa.2026.133482_bib0029","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1007\/s11548-019-02113-x","article-title":"Ultrasound needle segmentation and trajectory prediction using excitation network","volume":"15","author":"Lee","year":"2020","journal-title":"International Journal of Computer Assisted Radiology and Surgery"},{"key":"10.1016\/j.eswa.2026.133482_bib0030","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition (CVPR)","article-title":"Autotrack: Towards high-performance visual tracking for uav with automatic spatio-temporal regularization","author":"Li","year":"2020"},{"key":"10.1016\/j.eswa.2026.133482_bib0031","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"6489","article-title":"Learning by analogy: Reliable supervision from transformations for unsupervised optical flow estimation","author":"Liu","year":"2020"},{"issue":"23","key":"10.1016\/j.eswa.2026.133482_bib0032","doi-asserted-by":"crossref","DOI":"10.1088\/1361-6560\/ad092a","article-title":"Self-supervised enhanced thyroid nodule detection in ultrasound examination video sequences with multi-perspective evaluation","volume":"68","author":"Liu","year":"2023","journal-title":"Physics in Medicine & Biology"},{"key":"10.1016\/j.eswa.2026.133482_bib0033","series-title":"In medical image computing and computer-assisted intervention\u2013MICCAI 2014: 17th international conference","first-page":"389","article-title":"A new sensor technology for 2D ultrasound-guided needle tracking","volume":"vol. 17","author":"Lu","year":"2014"},{"issue":"5","key":"10.1016\/j.eswa.2026.133482_bib0034","doi-asserted-by":"crossref","first-page":"1792","DOI":"10.1109\/TMI.2023.3348949","article-title":"Semi-supervised thyroid nodule detection in ultrasound videos","volume":"43","author":"Luo","year":"2024","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"4","key":"10.1016\/j.eswa.2026.133482_bib0035","first-page":"1085","article-title":"Intraoperative ultrasound","volume":"84","author":"Machi","year":"2004","journal-title":"Surgical Clinics"},{"key":"10.1016\/j.eswa.2026.133482_bib0036","series-title":"The annals of mathematical statistics","first-page":"50","article-title":"On a test of whether one of two random variables is stochastically larger than the other","author":"Mann","year":"1947"},{"key":"10.1016\/j.eswa.2026.133482_bib0037","series-title":"2024 IEEE ultrasonics, ferroelectrics, and frequency control joint symposium (UFFC-JS)","first-page":"1","article-title":"Enhancement of needle localization using semi-supervised deep learning","author":"Metwally","year":"2024"},{"key":"10.1016\/j.eswa.2026.133482_bib0038","doi-asserted-by":"crossref","first-page":"819","DOI":"10.1007\/s11548-021-02361-w","article-title":"Time-aware deep neural networks for needle tip localization in 2D ultrasound","volume":"16","author":"Mwikirize","year":"2021","journal-title":"International Journal of Computer Assisted Radiology and Surgery"},{"key":"10.1016\/j.eswa.2026.133482_bib0039","doi-asserted-by":"crossref","first-page":"647","DOI":"10.1007\/s11548-018-1721-y","article-title":"Convolution neural networks for real-time needle detection and localization in 2D ultrasound","volume":"13","author":"Mwikirize","year":"2018","journal-title":"International Journal of Computer Assisted Radiology and Surgery"},{"key":"10.1016\/j.eswa.2026.133482_bib0040","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.1007\/s11548-019-01951-z","article-title":"Learning needle tip localization from digital subtraction in 2D ultrasound","volume":"14","author":"Mwikirize","year":"2019","journal-title":"International Journal of Computer Assisted Radiology and Surgery"},{"issue":"2","key":"10.1016\/j.eswa.2026.133482_bib0041","doi-asserted-by":"crossref","first-page":"480","DOI":"10.2214\/AJR.05.2079","article-title":"Radiofrequency ablation of hepatocellular carcinoma: correlation between local tumor progression after ablation and ablative margin","volume":"188","author":"Nakazawa","year":"2007","journal-title":"American Journal of Roentgenology"},{"issue":"3","key":"10.1016\/j.eswa.2026.133482_bib0042","doi-asserted-by":"crossref","first-page":"330","DOI":"10.1016\/j.media.2006.01.002","article-title":"Methods for segmenting curved needles in ultrasound images","volume":"10","author":"Okazawa","year":"2006","journal-title":"Medical Image Analysis"},{"issue":"5","key":"10.1016\/j.eswa.2026.133482_bib0043","doi-asserted-by":"crossref","first-page":"2649","DOI":"10.1002\/mp.16336","article-title":"A power doppler ultrasound method for improving intraoperative tip localization for visually obstructed needles in interstitial prostate brachytherapy","volume":"50","author":"Orlando","year":"2023","journal-title":"Medical Physics"},{"key":"10.1016\/j.eswa.2026.133482_bib0044","unstructured":"Paszke, A., Gross, S., Chintala, S., Chanan, G., Yang, E., DeVito, Z., Lin, Z., Desmaison, A., Antiga, L., & Lerer, A. (2017). Automatic differentiation in pytorch."},{"key":"10.1016\/j.eswa.2026.133482_bib0045","series-title":"Advances in neural information processing systems","first-page":"28","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","author":"Ren","year":"2015"},{"issue":"5","key":"10.1016\/j.eswa.2026.133482_bib0046","doi-asserted-by":"crossref","first-page":"794","DOI":"10.1093\/bja\/aet585","article-title":"Needle-related ultrasound artifacts and their importance in anaesthetic practice","volume":"112","author":"Reusz","year":"2014","journal-title":"British Journal of Anaesthesia"},{"key":"10.1016\/j.eswa.2026.133482_bib0047","series-title":"The annals of mathematical statistics","first-page":"400","article-title":"A stochastic approximation method","author":"Robbins","year":"1951"},{"key":"10.1016\/j.eswa.2026.133482_bib0048","series-title":"Medical imaging 2022: Image-guided procedures, robotic interventions, and modeling","first-page":"568","article-title":"Development of a mini stereotactic guidance system for percutaneous focal liver tumor ablation","volume":"Vol. 12034","author":"Romero","year":"2022"},{"key":"10.1016\/j.eswa.2026.133482_bib0049","series-title":"In medical image computing and computer-assisted intervention\u2013MICCAI 2015: 18th international conference, Munich, Germany, October 5\u20139, 2015, Proceedings, Part III","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","volume":"vol. 18","author":"Ronneberger","year":"2015"},{"issue":"11","key":"10.1016\/j.eswa.2026.133482_bib0050","doi-asserted-by":"crossref","first-page":"1464","DOI":"10.1109\/TUFFC.2024.3494019","article-title":"Lsmd: Long-short memory-based detection network for carotid artery detection in b-mode ultrasound video streams","volume":"71","author":"Shan","year":"2024","journal-title":"IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control"},{"key":"10.1016\/j.eswa.2026.133482_bib0051","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"3102","article-title":"Deep learning video classification of lung ultrasound features associated with pneumonia","author":"Shea","year":"2023"},{"key":"10.1016\/j.eswa.2026.133482_bib0052","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition (CVPR)","first-page":"20993","article-title":"Dancetrack: Multi-object tracking in uniform appearance and diverse motion","author":"Sun","year":"2022"},{"issue":"3","key":"10.1016\/j.eswa.2026.133482_bib0053","first-page":"209","article-title":"Global cancer statistics 2020: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries","volume":"71","author":"Sung","year":"2021","journal-title":"CA: A Cancer Journal for Clinicians"},{"key":"10.1016\/j.eswa.2026.133482_bib0054","doi-asserted-by":"crossref","first-page":"1133","DOI":"10.1007\/s11548-016-1398-z","article-title":"Three-dimensional quantitative assessment of ablation margins based on registration of pre-and post-procedural MRI and distance map","volume":"11","author":"Tani","year":"2016","journal-title":"International Journal of Computer Assisted Radiology and Surgery"},{"key":"10.1016\/j.eswa.2026.133482_bib0055","series-title":"Advances in neural information processing systems","article-title":"Attention is all you need","author":"Vaswani","year":"2017"},{"issue":"9","key":"10.1016\/j.eswa.2026.133482_bib0056","doi-asserted-by":"crossref","first-page":"977","DOI":"10.1080\/14737140.2023.2247564","article-title":"Ablative margins in percutaneous thermal ablation of hepatic tumors: A systematic review","volume":"23","author":"Verdonschot","year":"2023","journal-title":"Expert Review of Anticancer Therapy"},{"issue":"1","key":"10.1016\/j.eswa.2026.133482_bib0057","article-title":"Prospective analysis of the effects of ras mutation on local tumor progression and overall survival after radiofrequency ablation for colorectal liver metastases","volume":"41","author":"Wang","year":"2024","journal-title":"International Journal of Hyperthermia"},{"key":"10.1016\/j.eswa.2026.133482_bib0058","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","first-page":"9217","article-title":"Sequence level semantics aggregation for video object detection","author":"Wu","year":"2019"},{"key":"10.1016\/j.eswa.2026.133482_bib0059","series-title":"European conference on computer vision","first-page":"553","article-title":"Seqformer: Sequential transformer for video instance segmentation","author":"Wu","year":"2022"},{"issue":"10","key":"10.1016\/j.eswa.2026.133482_bib0060","doi-asserted-by":"crossref","first-page":"3812","DOI":"10.1109\/JBHI.2021.3084962","article-title":"Cachetrack-yolo: Real-time detection and tracking for thyroid nodules and surrounding tissues in ultrasound videos","volume":"25","author":"Wu","year":"2021","journal-title":"IEEE Journal of Biomedical and Health Informatics"},{"issue":"11","key":"10.1016\/j.eswa.2026.133482_bib0061","doi-asserted-by":"crossref","first-page":"3344","DOI":"10.1109\/TMI.2022.3184334","article-title":"3D us-based evaluation and optimization of tumor coverage for us-guided percutaneous liver thermal ablation","volume":"41","author":"Xing","year":"2022","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"2","key":"10.1016\/j.eswa.2026.133482_bib0062","doi-asserted-by":"crossref","first-page":"3224","DOI":"10.1109\/LRA.2021.3063058","article-title":"Needle tip tracking in 2d ultrasound based on improved compressive tracking and adaptive Kalman filter","volume":"6","author":"Yan","year":"2021","journal-title":"IEEE Robotics and Automation Letters"},{"key":"10.1016\/j.eswa.2026.133482_bib0063","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2023.102847","article-title":"Learning-based needle tip tracking in 2D ultrasound by fusing visual tracking and motion prediction","volume":"88","author":"Yan","year":"2023","journal-title":"Medical Image Analysis"},{"key":"10.1016\/j.eswa.2026.133482_bib0064","series-title":"2023 IEEE international conference on robotics and automation (ICRA)","first-page":"4782","article-title":"Visual tracking of needle tip in 2D ultrasound based on global features in a siamese architecture","author":"Yan","year":"2023"},{"key":"10.1016\/j.eswa.2026.133482_bib0065","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","first-page":"5188","article-title":"Video instance segmentation","author":"Yang","year":"2019"},{"key":"10.1016\/j.eswa.2026.133482_bib0066","doi-asserted-by":"crossref","DOI":"10.3389\/fonc.2024.1519536","article-title":"Needle tracking and segmentation in breast ultrasound imaging based on spatio-temporal memory network","volume":"14","author":"Zhang","year":"2025","journal-title":"Frontiers in Oncology"},{"key":"10.1016\/j.eswa.2026.133482_bib0067","unstructured":"Zhang, T., Tian, X., Zhou, Y., Ji, S., Wang, X., Tao, X., Zhang, Y., Wan, P., Wang, Z., & Wu, Y. (2023). Dvis++: Improved decoupled framework for universal video segmentation. arXiv preprint arXiv: 2312.13305."},{"key":"10.1016\/j.eswa.2026.133482_bib0068","series-title":"European conference on computer vision","first-page":"1","article-title":"Bytetrack: Multi-object tracking by associating every detection box","author":"Zhang","year":"2022"},{"key":"10.1016\/j.eswa.2026.133482_bib0069","unstructured":"Zhao, M., Okada, K., & Inaba, M. (2021). TrTr: Visual tracking with transformer. arXiv preprint arXiv: 2105.03817."},{"key":"10.1016\/j.eswa.2026.133482_bib0070","doi-asserted-by":"crossref","unstructured":"Zhou, Y., Zhang, T., Ji, S., Yan, S., & Li, X. (2024). DVIS-DAQ: Improving video segmentation via dynamic anchor queries. arXiv preprint arXiv: 2404.00086.","DOI":"10.1007\/978-3-031-72973-7_26"},{"key":"10.1016\/j.eswa.2026.133482_bib0071","series-title":"Proceedings of the IEEE international conference on computer vision","first-page":"408","article-title":"Flow-guided feature aggregation for video object detection","author":"Zhu","year":"2017"},{"key":"10.1016\/j.eswa.2026.133482_bib0072","series-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","first-page":"2349","article-title":"Deep feature flow for video recognition","author":"Zhu","year":"2017"}],"container-title":["Expert Systems with Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417426023912?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417426023912?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T05:44:03Z","timestamp":1783921443000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0957417426023912"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2027,1]]},"references-count":72,"alternative-id":["S0957417426023912"],"URL":"https:\/\/doi.org\/10.1016\/j.eswa.2026.133482","relation":{},"ISSN":["0957-4174"],"issn-type":[{"value":"0957-4174","type":"print"}],"subject":[],"published":{"date-parts":[[2027,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Needle tracking for free-hand ultrasound-guided percutaneous liver tumor ablations","name":"articletitle","label":"Article Title"},{"value":"Expert Systems with Applications","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.eswa.2026.133482","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"133482"}}