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Journal Articles
- 2025
[j79]Jiahui Wang, Dongsheng Ruan, Yang Li
, Zefeng Wang, Yongquan Wu, Tao Tan, Guang Yang, Mingfeng Jiang:
Data augmentation strategies for semi-supervised medical image segmentation. Pattern Recognit. 159: 111116 (2025)- [j78]Chao Duan, Sen Xin, Tao Tan, Xixin Wang, Ye Tian, Elfed Lewis, Jianzhong Zhang:
Broadband Flat Response High Sensitivity FBG Accelerometer Based on Multiresonance Structure. IEEE Trans. Instrum. Meas. 74: 1-7 (2025) - 2024
- [j77]Hui Xie, Chaoling Song, Lei Jian, Yeang Guo, Mei Li, Jiang Luo, Qing Li, Tao Tan:
A deep learning-based radiomics model for predicting lymph node status from lung adenocarcinoma. BMC Medical Imaging 24(1): 121 (2024) - [j76]Hui Tang, Yuanbin Chen, Tao Wang, Yuanbo Zhou, Longxuan Zhao, Qinquan Gao, Min Du, Tao Tan, Xinlin Zhang, Tong Tong:
HTC-Net: A hybrid CNN-transformer framework for medical image segmentation. Biomed. Signal Process. Control. 88(Part A): 105605 (2024) - [j75]Jiawei Quan, Jingxuan Ye, Junlin Lan, Jianchao Wang, Ziwei Hu, Zhechen Guo, Tao Wang, Zixin Han, Zhida Wu, Tao Tan, Min Du, Tong Tong, Gang Chen:
A deep learning model fusion algorithm for the diagnosis of gastric Mucosa-associated lymphoid tissue lymphoma. Biomed. Signal Process. Control. 92: 106064 (2024) - [j74]Xiaojuan Xue, Deshiwei Zhang, Chengyang Sun, Yiqiao Shi, Rongsheng Wang, Tao Tan, Peng Gao, Sujie Fan, Guangtao Zhai, Menghan Hu, Yue Wu:
Xiaoqing: A Q&A model for glaucoma based on LLMs. Comput. Biol. Medicine 174: 108399 (2024) - [j73]Hui Xie, Hua Zhang, Zijie Chen, Tao Tan:
Precision dose prediction for breast cancer patients undergoing IMRT: The Swin-UMamba-Channel Model. Comput. Medical Imaging Graph. 116: 102409 (2024) - [j72]Xiangyu Xiong, Yue Sun, Xiaohong Liu, Wei Ke, Chan-Tong Lam, Jiangang Chen, Mingfeng Jiang, Mingwei Wang, Hui Xie, Tong Tong, Qinquan Gao, Hao Chen, Tao Tan:
Distance guided generative adversarial network for explainable medical image classifications. Comput. Medical Imaging Graph. 118: 102444 (2024) - [j71]Ziqi Yang, Mingfeng Jiang, Dongshen Ruan, Yang Li, Tao Tan, Sumei Huang, Feng Liu:
LUCMT: Learnable under-sampling and reconstructed network with cross multi-head attention transformer for accelerating MR image reconstruction. Comput. Methods Programs Biomed. 255: 108359 (2024) - [j70]Siyi Xun, Mingfeng Jiang, Pu Huang, Yue Sun, Dengwang Li, Yan Luo, Huifen Zhang, Zhicheng Zhang, Xiaohong Liu, Mingxiang Wu, Tao Tan:
Chest CT-IQA: A multi-task model for chest CT image quality assessment and classification. Displays 84: 102785 (2024) - [j69]Kangyang Cao, Tao Tan, Zhengxuan Chen, Kaiwen Yang, Yue Sun:
A novel heart rate estimation framework with self-correcting face detection for Neonatal Intensive Care Unit. Displays 85: 102852 (2024) - [j68]Xinwei Dai, Yuanbo Zhou, Xintao Qiu, Hui Tang, Tao Tan, Qing Zhang, Tong Tong:
WaveFrSnow: Comprehensive perception wavelet transform frequency separation transformer for image snow removal. Digit. Signal Process. 155: 104715 (2024) - [j67]Tiantian Xie, Zetao Huang, Tao Tan, Yong Chen:
Forecasting China's agricultural carbon emissions: A comparative study based on deep learning models. Ecol. Informatics 82: 102661 (2024) - [j66]Ziyi Zhang, Liming Zhang, Pengbin Wang, Mingwang Zhang, Tao Tan:
Robust watermarking algorithm based on mahalanobis distance and ISS feature point for 3D point cloud data. Earth Sci. Informatics 17(1): 783-796 (2024) - [j65]Tao Tan, Liming Zhang, Shuaikang Liu, Lei Wang, Yan Jin, Jianing Xie:
A novel lossless commutative encryption and watermarking algorithm for vector geographic dataset. Earth Sci. Informatics 17(5): 4757-4771 (2024) - [j64]Zhebin Shi, Mingfeng Jiang, Yang Li, Bo Wei, Zefeng Wang, Yongquan Wu, Tao Tan, Guang Yang:
MLC: Multi-level consistency learning for semi-supervised left atrium segmentation. Expert Syst. Appl. 244: 122903 (2024) - [j63]Zongya Zhao, Yifan Feng, Menghan Wang, Jiarong Wei, Tao Tan, Ruijiao Li, Heshun Hu, Mengke Wang, Peiqi Chen, Xudong Gao, Yinping Wei, Chang Wang, Zhixian Gao, Wenshuai Jiang, Xuezhi Zhou, Mingcai Li, Chong Wang, Ting Pang, Yi Yu:
Investigating cortical complexity and connectivity in rats with schizophrenia. Frontiers Neuroinformatics 18 (2024) - [j62]Tao Tan, Liming Zhang, Mingwang Zhang, Shuai Wang, Lei Wang, Ziyi Zhang, Shuaikang Liu, Pengbin Wang:
Commutative encryption and watermarking algorithm based on compound chaotic systems and zero-watermarking for vector map. Comput. Geosci. 184: 105530 (2024) - [j61]Dan Zhang, Chenggang Lu, Tao Tan, Behdad Dashtbozorg, Xi Long, Xiayu Xu, Jiong Zhang, Caifeng Shan:
BSANet: Boundary-aware and scale-aggregation networks for CMR image segmentation. Neurocomputing 599: 128125 (2024) - [j60]Tianyu Zhang, Tao Tan, Luyi Han, Xin Wang, Yuan Gao, Jarek van Dijk, Antonio Portaluri, Abel Gonzalez-Huete, Anna D'Angelo, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Yue Sun, Ritse Mann:
IMPORTANT-Net: Integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data. Inf. Fusion 108: 102381 (2024) - [j59]Tao Tan, Hong Xie, Liang Feng:
Q-learning with heterogeneous update strategy. Inf. Sci. 656: 119902 (2024) - [j58]Tao Zhao, Tao Tan, Xiangpeng Xie:
Optimization design of a new variable type hierarchical fuzzy system with interpretability improvement. Inf. Sci. 669: 120571 (2024) - [j57]Tao Tan, Hong Xie, Yunni Xia, Xiaoyu Shi, Mingsheng Shang:
Asynchronous SGD with stale gradient dynamic adjustment for deep learning training. Inf. Sci. 681: 121220 (2024) - [j56]Yanyan Li, Tao Tan:
A new convex model for linear hyperspectral unmixing. J. Comput. Appl. Math. 441: 115708 (2024) - [j55]Tao Tan, Hong Xie, Yunni Xia, Xiaoyu Shi, Mingsheng Shang:
Adaptive moving average Q-learning. Knowl. Inf. Syst. 66(12): 7389-7417 (2024) - [j54]Luyi Han, Tao Tan, Tianyu Zhang, Yunzhi Huang, Xin Wang, Yuan Gao, Jonas Teuwen, Ritse Mann:
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI. Medical Image Anal. 92: 103044 (2024) - [j53]Rojin Setayeshi, Javad Vahidi, Ehsan Kozegar, Tao Tan:
An end-to-end multi-task deep learning framework for bronchoscopy image classification. Multim. Syst. 30(6): 361 (2024) - [j52]Yubing Li, Tao Tan, Xiuping Li:
A 40.6% Tuning Range Low-Phase-Noise Class-F-1/3 VCO Using Simultaneous Frequency and Harmonic-Mode Switching. IEEE Trans. Circuits Syst. II Express Briefs 71(3): 1037-1041 (2024) - [j51]Shuaikang Liu, Liming Zhang, Tao Tan, Lei Wang, Pengbin Wang, Ziyi Zhang, Mingwang Zhang:
Homomorphic encryption domain asymmetric fingerprinting scheme for 3D models of oblique photography. Trans. GIS 28(4): 790-815 (2024) - [j50]Tao Tan, Jiaxin Liu, Yunlong Li, Yinlei Xie, Meng Su, Xixin Wang, Ye Tian, Jianzhong Zhang:
Cross Section Deformation Correction of Flexible Tentacle Shape Based on Fiber Bragg Grating. IEEE Trans. Instrum. Meas. 73: 1-8 (2024) - [j49]Yiping Jiao, Jeroen van der Laak, Shadi Albarqouni, Zhang Li, Tao Tan, Abhir Bhalerao, Shenghua Cheng, Jiabo Ma, John Pocock, Josien P. W. Pluim, Navid Alemi Koohbanani, Raja Muhammad Saad Bashir, Shan-E-Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Xiuli Liu, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi:
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. IEEE J. Biomed. Health Informatics 28(3): 1161-1172 (2024) - [j48]Weijin Xu, Huihua Yang, Yinghuan Shi, Tao Tan, Wentao Liu, Xipeng Pan, Yiming Deng, Feng Gao, Ruisheng Su:
ERNet: Edge Regularization Network for Cerebral Vessel Segmentation in Digital Subtraction Angiography Images. IEEE J. Biomed. Health Informatics 28(3): 1472-1483 (2024) - [j47]Tao Tan, Xianbin Cao, Fansheng Song, Shenwen Chen, Wenbo Du, Yumeng Li:
Temporal Link Prediction via Auxiliary Graph Transformer. IEEE Trans. Netw. Sci. Eng. 11(6): 5954-5968 (2024) - [j46]Siyi Xun, Yan Zhang, Sixu Duan, Mingwei Wang, Jiangang Chen, Tong Tong, Qinquan Gao, Chan-Tong Lam, Menghan Hu, Tao Tan:
ARGA-Unet: Advanced U-net segmentation model using residual grouped convolution and attention mechanism for brain tumor MRI image segmentation. Virtual Real. Intell. Hardw. 6(3): 203-216 (2024) - [j45]Hui Xie, Jianfang Zhang, Lijuan Ding, Tao Tan, Qing Li:
Combining machine and deep transfer learning for mediastinal lymph node evaluation in patients with lung cancer. Virtual Real. Intell. Hardw. 6(3): 226-238 (2024) - [j44]B. A. O. Lingyun, Zhengrui Huang, Zehui Lin, Yue Sun, Hui Chen, You Li, Zhang Li, Xiaochen Yuan, Lin Xu, Tao Tan:
Automatic detection of breast lesions in automated 3D breast ultrasound with cross-organ transfer learning. Virtual Real. Intell. Hardw. 6(3): 239-251 (2024) - 2023
- [j43]Tianyu Zhang, Tao Tan, Riccardo Samperna, Zhang Li, Yuan Gao, Xin Wang, Luyi Han, Qifeng Yu, Regina G. H. Beets-Tan, Ritse M. Mann:
Radiomics and artificial intelligence in breast imaging: a survey. Artif. Intell. Rev. 56(S1): 857-892 (2023) - [j42]Ji-Feng Luo, Yun-Zhu Pu, Jie-Yang Yin, Xiaohong Liu, Tao Tan, Yudong Zhang, Menghan Hu:
Is There a Difference between Paper and Electronic Chinese Signatures? Adv. Intell. Syst. 5(12) (2023) - [j41]Zean Liu, Yuanzhi Cheng, Tao Tan, Shinichi Tamura:
MimicNet: Mimicking manual delineation of human expert for brain tumor segmentation from multimodal MRIs. Appl. Soft Comput. 143: 110394 (2023) - [j40]Xin Wang, Ruisheng Su, Weiyi Xie, Wenjin Wang, Yi Xu, Ritse Mann, Jungong Han, Tao Tan:
2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small data. Biomed. Signal Process. Control. 84: 104858 (2023) - [j39]Rongsheng Wang, Yaofei Duan, Menghan Hu, Xiaohong Liu, Yukun Li, Qinquan Gao, Tong Tong, Tao Tan:
LightR-YOLOv5: A compact rotating detector for SARS-CoV-2 antigen-detection rapid diagnostic test results. Displays 78: 102403 (2023) - [j38]Jiangang Chen, Size Hou, Liang Feng, Bing Lu, Minglei Yang, Feiyang Sun, Qingli Li, Tao Tan, Xuedong Deng, Gaofeng Wei:
Ultrasonic evaluation of fetal lung development using deep learning with graph. Displays 78: 102451 (2023) - [j37]Tao Tan, Tao Zhao:
A data-driven fuzzy system for the automatic determination of fuzzy set type based on fuzziness. Inf. Sci. 642: 119173 (2023) - [j36]Wenbo Du, Tao Tan, Haijun Zhang, Xianbin Cao, Gang Yan, Osvaldo Simeone:
Network Topology Inference Based on Timing Meta-Data. IEEE Trans. Commun. 71(6): 3263-3273 (2023) - [j35]Shan Huang, Xiaohong Liu, Tao Tan, Menghan Hu, Xiaoer Wei, Tingli Chen, Bin Sheng:
TransMRSR: transformer-based self-distilled generative prior for brain MRI super-resolution. Vis. Comput. 39(8): 3647-3659 (2023) - [j34]Rongsheng Wang, Yaofei Duan, Yukun Li, Dashun Zheng, Xiaohong Liu, Chan-Tong Lam, Tao Tan:
PCTMF-Net: heart sound classification with parallel CNNs-transformer and second-order spectral analysis. Vis. Comput. 39(8): 3811-3822 (2023) - [j33]Dashun Zheng, Rongsheng Wang, Yaofei Duan, Patrick Cheong-Iao Pang, Tao Tan:
Focus-RCNet: a lightweight recyclable waste classification algorithm based on focus and knowledge distillation. Vis. Comput. Ind. Biomed. Art 6(1): 19 (2023) - 2022
- [j32]Cheng Cao, Yubing Li, Zhe Wang, Zemeng Huang, Tao Tan, Deyang Chen, Xiuping Li:
CMOS X-band pole-converging triple-cascode LNA with low-noise and wideband performance. IET Circuits Devices Syst. 16(1): 26-39 (2022) - [j31]Umair Yasir, Xiuping Li, Cheng Cao, Tao Tan:
A low-power amplitude shift keying modulator based on adaptive body-biased injection-locked current-reuse voltage controlled oscillator for high data rate radio frequency identification applications. Int. J. Circuit Theory Appl. 50(10): 3584-3593 (2022) - [j30]Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Hongxu Yang, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash:
Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists. Neurocomputing 485: 36-46 (2022) - [j29]Tao Tan, Chao Duan, Xianghe Liu, Desheng Fan, Zhongfei Ye, Kai Xie, Quan Chai, Ye Tian, Jianzhong Zhang:
Research on Monitoring the Transmission Line Tension and Galloping Based on FBG Fitting Sensor. IEEE Trans. Instrum. Meas. 71: 1-8 (2022) - [j28]Tao Tan, Yinlei Xie, Chao Duan, Quan Chai, Yushi Chu, Geng Sun, Yuxiang Luo, Ye Tian, Jianzhong Zhang:
Accuracy Improvement of Residual Stress Measurements in the Tube by FBG Using the Genetic Algorithm. IEEE Trans. Instrum. Meas. 71: 1-7 (2022) - [j27]Jianzhong Zhang, Tao Tan, Chao Duan, Zhuoshu Li, Xianghe Liu, Quan Chai, Gui Xiao, Ye Tian, Weibin Zhang, Yao Xu:
Measurement of Residual Stress Based on a Ring FBG Array. IEEE Trans. Instrum. Meas. 71: 1-7 (2022) - [j26]Tao Tan, Ravi Soni, Jungong Han, Shuo Li:
Guest Editorial Artificial Intelligence in Pre-DICOM. IEEE J. Biomed. Health Informatics 26(9): 4357-4358 (2022) - 2021
- [j25]Seyyed Mohammad Reza Hashemi, Hamid Hassanpour, Ehsan Kozegar, Tao Tan:
Cystoscopic Image Classification by Unsupervised Feature Learning and Fusion of Classifiers. IEEE Access 9: 126610-126622 (2021) - [j24]Caifeng Shan, Tao Tan, Jungong Han, Di Huang:
Ultrasound tissue classification: a review. Artif. Intell. Rev. 54(4): 3055-3088 (2021) - [j23]Jun Bai, Xingzhen Hu, Tao Tan, Teng Hua, Wenping Xia, Crystal Jones, Agnes Williams:
The Evaluation Indicators of X-ray Radiographs for Femoroacetabular Impingement Syndrome. J. Medical Imaging Health Informatics 11(2): 557-562 (2021) - [j22]Jie Xing, Zheren Li, Biyuan Wang, Yuji Qi, Bingbin Yu, Farhad Ghazvinian Zanjani, Aiwen Zheng, Remco Duits, Tao Tan:
Lesion Segmentation in Ultrasound Using Semi-Pixel-Wise Cycle Generative Adversarial Nets. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2555-2565 (2021) - [j21]Yao Xu, Chao Duan, Zhuoshu Li, Tao Tan, Chengjun Qiu, Gui Xiao, Ye Tian, Weibin Zhang, Jianzhong Zhang:
Accuracy Improvement of Residual Stress Measurement by Chirp Compensation of FBG. IEEE Trans. Instrum. Meas. 70: 1-7 (2021) - [j20]Zhang Li, Jiehua Zhang, Tao Tan, Xichao Teng, Xiaoliang Sun, Hong Zhao, Lihong Liu, Yang Xiao, Byungjae Lee, Yilong Li, Qianni Zhang, Shujiao Sun, Yushan Zheng, Junyu Yan, Ni Li, Yiyu Hong, Junsu Ko, Hyun Jung, Yanling Liu, Yu-cheng Chen, Ching-Wei Wang, Vladimir Yurovskiy, Pavel Maevskikh, Vahid Khanagha, Yi Jiang, Li Yu, Zhihong Liu, Daiqiang Li, Peter J. Schüffler, Qifeng Yu, Hui Chen, Yuling Tang, Geert Litjens:
Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images - The ACDC@LungHP Challenge 2019. IEEE J. Biomed. Health Informatics 25(2): 429-440 (2021) - 2020
- [j19]Ehsan Kozegar, Mohsen Soryani, Hamid Behnam, Masoumeh Salamati, Tao Tan:
Computer aided detection in automated 3-D breast ultrasound images: a survey. Artif. Intell. Rev. 53(3): 1919-1941 (2020) - [j18]Caifeng Shan, Tao Tan, Shandong Wu, Julia A. Schnabel:
Guest Editorial: Deep Learning in Ultrasound Imaging. IEEE J. Biomed. Health Informatics 24(4): 929-930 (2020) - 2019
- [j17]Jiong Zhang, Behdad Dashtbozorg, Fan Huang, Tao Tan, Bart M. ter Haar Romeny:
A fully automated pipeline of extracting biomarkers to quantify vascular changes in retina-related diseases. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 7(5-6): 616-631 (2019) - [j16]Shengyu Fan, Yueyan Bian, Hao Chen, Yan Kang, Qi Yang, Tao Tan:
Unsupervised Cerebrovascular Segmentation of TOF-MRA Images Based on Deep Neural Network and Hidden Markov Random Field Model. Frontiers Neuroinformatics 13: 77 (2019) - [j15]Yang Li, Wei-Gang Cui, Hui Huang, Yuzhu Guo, Ke Li, Tao Tan:
Epileptic seizure detection in EEG signals using sparse multiscale radial basis function networks and the Fisher vector approach. Knowl. Based Syst. 164: 96-106 (2019) - [j14]Yue Sun, Caifeng Shan, Tao Tan, Xi Long, Arash Pourtaherian, Svitlana Zinger, Peter H. N. de With:
Video-based discomfort detection for infants. Mach. Vis. Appl. 30(5): 933-944 (2019) - [j13]Xi Long, Renée A. Otte, Eric van der Sanden, Jan Werth, Tao Tan:
Video-Based Actigraphy for Monitoring Wake and Sleep in Healthy Infants: A Laboratory Study. Sensors 19(5): 1075 (2019) - [j12]Boxin Mu, Ruixuan Qu, Tao Tan, Ye Tian, Quan Chai, Xiaochen Zhao, Song Wang, Yanlei Liu, Jianzhong Zhang:
Fiber Bragg Grating-Based Oil-Film Pressure Measurement in Journal Bearings. IEEE Trans. Instrum. Meas. 68(5): 1575-1581 (2019) - 2018
- [j11]Fan Huang, Behdad Dashtbozorg, Tao Tan, Bart M. ter Haar Romeny:
Retinal artery/vein classification using genetic-search feature selection. Comput. Methods Programs Biomed. 161: 197-207 (2018) - [j10]Ehsan Kozegar, Mohsen Soryani, Hamid Behnam, Masoumeh Salamati, Tao Tan:
Mass Segmentation in Automated 3-D Breast Ultrasound Using Adaptive Region Growing and Supervised Edge-Based Deformable Model. IEEE Trans. Medical Imaging 37(4): 918-928 (2018) - 2013
- [j9]Tao Tan, Bram Platel, Ritse Mann, Henkjan J. Huisman, Nico Karssemeijer:
Chest wall segmentation in automated 3D breast ultrasound scans. Medical Image Anal. 17(8): 1273-1281 (2013) - [j8]Tao Tan, Bram Platel, Roel Mus, László K. Tabár, Ritse M. Mann, Nico Karssemeijer:
Computer-Aided Detection of Cancer in Automated 3-D Breast Ultrasound. IEEE Trans. Medical Imaging 32(9): 1698-1706 (2013) - 2012
- [j7]Yanyan Li, Tao Tan, Xingsi Li:
A log-exponential smoothing method for mathematical programs with complementarity constraints. Appl. Math. Comput. 218(10): 5900-5909 (2012) - [j6]Tao Tan, Hongjun Chen:
A Personalization Recommendation Method Based on Deep Web Data Query. J. Comput. 7(7): 1599-1606 (2012) - [j5]Tao Tan, Bram Platel, Henkjan J. Huisman, Clara I. Sánchez, Roel Mus, Nico Karssemeijer:
Computer-Aided Lesion Diagnosis in Automated 3-D Breast Ultrasound Using Coronal Spiculation. IEEE Trans. Medical Imaging 31(5): 1034-1042 (2012) - 2011
- [j4]Yanyan Li, Tao Tan, Xingsi Li:
Convergence of a continuous approach for zero-one programming problems. Appl. Math. Comput. 217(9): 4691-4698 (2011) - [j3]Jin Xu, Tao Tan, Mao Tu, Long Qi:
Improvement of grey models by least squares. Expert Syst. Appl. 38(11): 13961-13966 (2011) - [j2]Tao Tan, Yanyan Li, Xingsi Li:
A Smoothing Method for Zero-One Constrained Extremum Problems. J. Optim. Theory Appl. 150(1): 65-77 (2011) - 2008
- [j1]Shaohua Pan, Tao Tan, Yuxi Jiang:
A global continuation algorithm for solving binary quadratic programming problems. Comput. Optim. Appl. 41(3): 349-362 (2008)
Conference and Workshop Papers
- 2024
- [c53]Shihan Deng, Weikai Xu, Hongda Sun, Wei Liu, Tao Tan, Jianfeng Liu, Ang Li, Jian Luan, Bin Wang, Rui Yan, Shuo Shang:
Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents. ACL (1) 2024: 8813-8831 - [c52]Jiaoyan Li, Kaihong Xie, Tao Tan, Hui Xie:
Machine Learning Model for Predicting Risk of Primary Sj?gren's syndrome using N7-methylguanosine-related Genes. CVDL 2024: 30:1-30:12 - [c51]Qinzhuo Wu, Weikai Xu, Wei Liu, Tao Tan, Jianfeng Liu, Ang Li, Jian Luan, Bin Wang, Shuo Shang:
MobileVLM: A Vision-Language Model for Better Intra- and Inter-UI Understanding. EMNLP (Findings) 2024: 10231-10251 - [c50]Xiangyu Xiong, Yue Sun, Xiaohong Liu, Chan-Tong Lam, Tong Tong, Hao Chen, Qinquan Gao, Wei Ke, Tao Tan:
A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classifications. ICASSP 2024: 7310-7314 - [c49]Nuoer Long, Kin-Seong Un, Chengpeng Xiong, Zhuolin Li, Shaobin Chen, Tao Tan, Chan-Tong Lam, Yue Sun:
A Multimodal Behavior Recognition Network with Interconnected Architectures. ICME Workshops 2024: 1-6 - [c48]Chengpeng Xiong, Zhengxuan Chen, Nuoer Long, Kin-Seong Un, Zhuolin Li, Shaobin Chen, Tao Tan, Chan-Tong Lam, Yue Sun:
Enhancing Video Grounding with Dual-Path Modality Fusion on Animal Kingdom Datasets. ICME Workshops 2024: 1-6 - [c47]Tao Tan, Hong Xie, Defu Lian:
Adaptive Order Q-learning. IJCAI 2024: 4946-4954 - [c46]Haoming Chen, Yuqi Guo, Yue Sun, Xiang Li, Hongping Song, Tao Tan:
Controllable Quality Improvement of Mobile Ultrasound. MeMeA 2024: 1-6 - [c45]Mengzhu Liu, Xinghe Xie, Kangyang Cao, Xiexin Wang, Tao Tan, Chan-Tong Lam, Yue Sun:
Benchmarking Machine Learning Algorithms for Epilepsy Detection on Multi-Age Datasets. MeMeA 2024: 1-6 - [c44]Yuan Gao, Hong-Yu Zhou, Xin Wang, Tianyu Zhang, Luyi Han, Chunyao Lu, Xinglong Liang, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann:
Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-Guided Model. MICCAI (1) 2024: 133-143 - [c43]Xin Wang, Tao Tan, Yuan Gao, Eric Marcus, Luyi Han, Antonio Portaluri, Tianyu Zhang, Chunyao Lu, Xinglong Liang, Regina Beets-Tan, Jonas Teuwen, Ritse Mann:
Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms. MICCAI (1) 2024: 155-165 - [c42]Luyi Han, Tao Tan, Tianyu Zhang, Xin Wang, Yuan Gao, Chunyao Lu, Xinglong Liang, Haoran Dou, Yunzhi Huang, Ritse Mann:
Non-adversarial Learning: Vector-Quantized Common Latent Space for Multi-sequence MRI. MICCAI (11) 2024: 481-491 - [c41]Qi Zhang, Xiujian Liu, Heye Zhang, Chenchu Xu, Guang Yang, Yixuan Yuan, Tao Tan, Zhifan Gao:
Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment. MICCAI (3) 2024: 768-778 - 2023
- [c40]Weijin Xu, Huihua Yang, Tao Tan, Wentao Liu, Feng Gao, Yiming Deng, Xipeng Pan, Ruisheng Su:
Improved YOLOX Framework for Automatic Large Intracranial Artery Stenosis Detection in Digital Subtraction Angiography Images. BIBM 2023: 2326-2331 - [c39]Qiuhui Yang, Hao Chen, Mingfeng Jiang, Mingwei Wang, Jiong Zhang, Yue Sun, Tao Tan:
A Hybrid Supervised Fusion Deep Learning Framework for Microscope Multi-Focus Images. CGI (4) 2023: 210-221 - [c38]Mingfu Jiang, Chenzhi You, Mingwei Wang, Heye Zhang, Zhifan Gao, Dawei Wu, Tao Tan:
Controllable Deep Learning Denoising Model for Ultrasound Images Using Synthetic Noisy Image. CGI (1) 2023: 297-308 - [c37]Rongsheng Wang, Yaofei Duan, Chan-Tong Lam, Jiexi Chen, Jiangsheng Xu, Haoming Chen, Xiaohong Liu, Patrick Cheong-Iao Pang, Tao Tan:
IvyGPT: InteractiVe Chinese Pathway Language Model in Medical Domain. CICAI (2) 2023: 378-382 - [c36]Tao Tan, Qiulei Dong:
SMOC-Net: Leveraging Camera Pose for Self-Supervised Monocular Object Pose Estimation. CVPR 2023: 21307-21316 - [c35]Yeang Guo, Tao Tan, Ronglin Zhang, Liangfen Xiao, Lijuan Ding, Qing Li, Hui Xie:
SVM in Classification of stage 0~II and III~IV with Breast Cancer : A Retrospective Cohort Study on a bicentric cohort. ICCVIT 2023: 51:1-51:10 - [c34]Luyi Han, Tianyu Zhang, Yunzhi Huang, Haoran Dou, Xin Wang, Yuan Gao, Chunyao Lu, Tao Tan, Ritse Mann:
An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis. MICCAI (10) 2023: 45-55 - [c33]Xin Wang, Tao Tan, Yuan Gao, Luyi Han, Tianyu Zhang, Chunyao Lu, Regina Beets-Tan, Ruisheng Su, Ritse Mann:
DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-adversarial Learning. MICCAI (7) 2023: 57-67 - [c32]Tianyu Zhang, Luyi Han, Anna D'Angelo, Xin Wang, Yuan Gao, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann:
Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism. MICCAI (7) 2023: 79-88 - [c31]Yunlong Dong, Xiaohong Liu, Yixuan Gao, Xunchu Zhou, Tao Tan, Guangtao Zhai:
Light-VQA: A Multi-Dimensional Quality Assessment Model for Low-Light Video Enhancement. ACM Multimedia 2023: 1088-1097 - 2022
- [c30]Haixia Liu, Tim J. Brailsford, James Goulding, Tomás Maul, Tao Tan, Debanjan Chaudhuri:
Towards Idea Mining: Problem-Solution Phrase Extraction from Text. ADMA (2) 2022: 3-14 - [c29]Luyi Han, Yunzhi Huang, Tao Tan, Ritse Mann:
Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction Based on Semi-supervised Contrastive Learning. BrainLes@MICCAI (2) 2022: 49-58 - [c28]Yuan Xu, Tao Tan, Chao Ma:
Research on inertial navigation component measurement and control system. CIS 2022: 428-431 - [c27]Siyi Xun, Yan Zhang, Sixu Duan, Huachao Chen, Mingwei Wang, Jiangang Chen, Tao Tan:
RGA-Unet: An improved U-net segmentation model based on residual grouped convolution and convolutional block attention module for brain tumor MRI image segmentation. CSSE 2022: 319-324 - [c26]Xiaomeng Dong, Tao Tan, Michael Potter, Yun-Chan Tsai, Gaurav Kumar, V. Ratna Saripalli, Theodore B. Trafalis:
Autonomous Learning Rate Optimization for Deep Learning. LION 2022: 292-305 - [c25]Rongsheng Wang, Yukun Li, Yaofei Duan, Tao Tan:
EfficientNet-YOLOv5: Improved YOLOv5 Based on EfficientNet Backbone for Object Detection on Marine Microalgae. UV 2022: 1-5 - 2021
- [c24]László Ruskó, Marta E. Capala, Vanda Czipczer, Bernadett Kolozsvári, Borbála Deák-Karancsi, Renáta Czabány, Bence Gyalai, Tao Tan, Zoltán Végváry, Emoke Borzasi, Zsófia Együd, Renáta Kószó, Viktor Paczona, Emese Fodor, Chad Bobb, Cristina Cozzini, Sandeep Kaushik, Barbara Darázs, Gerda M. Verduijn, Rachel Pearson, Ross Maxwell, Hazel Mccallum, Juan Antonio Hernández Tamames, Katalin Hideghéty, Steven F. Petit, Florian Wiesinger:
Deep-Learning-based Segmentation of Organs-at-Risk in the Head for MR-assisted Radiation Therapy Planning. BIOIMAGING 2021: 31-43 - [c23]Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash:
Pristine Annotations-Based Multi-modal Trained Artificial Intelligence Solution to Triage Chest X-Ray for COVID-19. MICCAI (7) 2021: 325-334 - 2020
- [c22]Yue Sun, Deedee Kommers, Tao Tan, Wenjin Wang, Xi Long, Caifeng Shan, Carola van Pul, Ronald M. Aarts, Peter Andriessen, Peter H. N. de With:
Automated discomfort detection for premature infants in NICU using time-frequency feature-images and CNNs. Computer-Aided Diagnosis 2020 - 2019
- [c21]Hao Cheng, Dongze Lian, Bowen Deng, Shenghua Gao, Tao Tan, Yanlin Geng:
Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks. CVPR 2019: 4748-4756 - [c20]Yue Sun, Deedee Kommers, Wenjin Wang, Rohan Joshi, Caifeng Shan, Tao Tan, Ronald M. Aarts, Carola van Pul, Peter Andriessen, Peter H. N. de With:
Automatic and Continuous Discomfort Detection for Premature Infants in a NICU Using Video-Based Motion Analysis. EMBC 2019: 5995-5999 - [c19]Tao Tan, Shiqun Yin, Kunling Liu, Man Wan:
On the Convergence Speed of AMSGRAD and Beyond. ICTAI 2019: 464-470 - [c18]Kunling Liu, Shiqun Yin, Tao Tan:
SLAOE-NN: A Deep Network with Structure Learning for Aspect and Opining co-Extraction for NLP. ICTAI 2019: 1786-1790 - [c17]Farhad Ghazvinian Zanjani, Andreas Panteli, Svitlana Zinger, Fons van der Sommen, Tao Tan, Benjamin Balluff, D. R. Naomi Vos, Shane R. Ellis, Ron M. A. Heeren, Marit Lucas, Henk A. Marquering, Ivo G. H. Jansen, C. D. Savci-Heijink, Daniel M. de Bruin, Peter H. N. de With:
Cancer Detection in Mass Spectrometry Imaging Data by Recurrent Neural Networks. ISBI 2019: 674-678 - [c16]Pim Jan Christiaan Weijtmans, Caifeng Shan, Tao Tan, Susan G. Brouwer de Koning, Theodoor Jacques Marie Ruers:
A Dual Stream Network for Tumor Detection in Hyperspectral Images. ISBI 2019: 1256-1259 - [c15]Hongxu Yang, Caifeng Shan, Tao Tan, Alexander F. Kolen, Peter H. N. de With:
Transferring from ex-vivo to in-vivo: Instrument Localization in 3D Cardiac Ultrasound Using Pyramid-UNet with Hybrid Loss. MICCAI (5) 2019: 263-271 - [c14]Farhad Ghazvinian Zanjani, David Anssari Moin, Bas Verheij, Frank Claessen, Teo Cherici, Tao Tan, Peter H. N. de With:
Deep Learning Approach to Semantic Segmentation in 3D Point Cloud Intra-oral Scans of Teeth. MIDL 2019: 557-571 - 2018
- [c13]Boxin Mu, Ruixuan Qu, Tao Tan, Ye Tian, Quan Chai, Song Wang, Yanlei Liu, Jianzhong Zhang:
Fiber Bragg grating based oil film pressure measurement in journal bearings. I2MTC 2018: 1-5 - [c12]Kai Xie, Zhongbin Lv, Xing Zheng, Tao Tan, Hongying Zhang, Yichen Meng, Quan Chai, Jianzhong Zhang, Jun Yang, Libo Yuan:
Transmission line galloping induced dynamic strain measurement of an angle brace based power transmission tower by FBG sensors. I2MTC 2018: 1-5 - [c11]Xiayu Xu, Tao Tan, Feng Xu:
An Improved U-Net Architecture for Simultaneous Arteriole and Venule Segmentation in Fundus Image. MIUA 2018: 333-340 - 2016
- [c10]Albert Gubern-Mérida, Tao Tan, Jan van Zelst, Ritse M. Mann, Nico Karssemeijer:
Automated linking of suspicious findings between automated 3D breast ultrasound volumes. Computer-Aided Diagnosis 2016: 97850N - [c9]Mohammad Razavi, Lei Wang, Tao Tan, Nico Karssemeijer, Lars Linsen, Udo Frese, Horst K. Hahn, Gabriel Zachmann:
Novel Morphological Features for Non-mass-like Breast Lesion Classification on DCE-MRI. MLMI@MICCAI 2016: 305-312 - 2015
- [c8]Tao Tan, Shouyi Yin, Peng Ouyang, Leibo Liu, Shaojun Wei:
Efficient lane detection system based on monocular camera. ICCE 2015: 202-203 - 2014
- [c7]Tao Tan, Jan van Zelst, Wei Zhang, Ritse M. Mann, Bram Platel, Nico Karssemeijer:
Chest-wall segmentation in automated 3D breast ultrasound images using thoracic volume classification. Computer-Aided Diagnosis 2014: 90351Y - [c6]Mandana Javanshir Moghaddam, Tao Tan, Nico Karssemeijer, Bram Platel:
Automatic nipple detection on 3D images of an automated breast ultrasound system (ABUS). Image Processing 2014: 903405 - 2013
- [c5]Tao Tan, Bram Platel, Michael Hicks, Ritse M. Mann, Nico Karssemeijer:
Finding lesion correspondences in different views of automated 3D breast ultrasound. Computer-Aided Diagnosis 2013: 86701N - 2012
- [c4]Tao Tan, Bram Platel, Roel Mus, Nico Karssemeijer:
Detection of breast cancer in automated 3D breast ultrasound. Computer-Aided Diagnosis 2012: 831505 - 2011
- [c3]Tao Tan, Henkjan J. Huisman, Bram Platel, André Grivegnée, Roel Mus, Nico Karssemeijer:
Classification of breast lesions in automated 3D breast ultrasound. Computer-Aided Diagnosis 2011: 79630X - [c2]Tao Tan, Leting Tan:
An Efficient Algorithm of Association Information Mining on Web Pages with Dynamic Scripts. WISM (3) 2011: 334-342 - 2009
- [c1]Tao Tan, Yan-ge Duan, Zai-xing Han:
The Study of Campus Information Platform Based on SOA Framework. IFITA (3) 2009: 472-475
Informal and Other Publications
- 2024
- [i41]Luyi Han, Tao Tan, Tianyu Zhang, Yuan Gao, Xin Wang, Valentina Longo, Sofía Ventura-Díaz, Anna D'Angelo, Jonas Teuwen, Ritse Mann:
To deform or not: treatment-aware longitudinal registration for breast DCE-MRI during neoadjuvant chemotherapy via unsupervised keypoints detection. CoRR abs/2401.09336 (2024) - [i40]Rongsheng Wang, Haoming Chen, Ruizhe Zhou, Han Ma, Yaofei Duan, Yanlan Kang, Songhua Yang, Baoyu Fan, Tao Tan:
LLM-Detector: Improving AI-Generated Chinese Text Detection with Open-Source LLM Instruction Tuning. CoRR abs/2402.01158 (2024) - [i39]Yibin Ye, Xichao Teng, Shuo Chen, Yijie Bian, Tao Tan, Zhang Li:
3MOS: Multi-sources, Multi-resolutions, and Multi-scenes dataset for Optical-SAR image matching. CoRR abs/2404.00838 (2024) - [i38]Xinyu Xie, Yawen Cui, Chio-In Ieong, Tao Tan, Xiaozhi Zhang, Xubin Zheng, Zitong Yu:
FusionMamba: Dynamic Feature Enhancement for Multimodal Image Fusion with Mamba. CoRR abs/2404.09498 (2024) - [i37]Zehui Lin, Zhuoneng Zhang, Xindi Hu, Zhifan Gao, Xin Yang, Yue Sun, Dong Ni, Tao Tan:
UniUSNet: A Promptable Framework for Universal Ultrasound Disease Prediction and Tissue Segmentation. CoRR abs/2406.01154 (2024) - [i36]Shihan Deng, Weikai Xu, Hongda Sun, Wei Liu, Tao Tan, Jianfeng Liu, Ang Li, Jian Luan, Bin Wang, Rui Yan, Shuo Shang:
Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents. CoRR abs/2407.00993 (2024) - [i35]Luyi Han, Tao Tan, Tianyu Zhang, Xin Wang, Yuan Gao, Chunyao Lu, Xinglong Liang, Haoran Dou, Yunzhi Huang, Ritse Mann:
Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI. CoRR abs/2407.02911 (2024) - [i34]Qimin Yang, Rongsheng Wang, Jiexin Chen, Runqi Su, Tao Tan:
Fine-Tuning Medical Language Models for Enhanced Long-Contextual Understanding and Domain Expertise. CoRR abs/2407.11536 (2024) - [i33]Yuanbo Zhou, Xinlin Zhang, Wei Deng, Tao Wang, Tao Tan, Qinquan Gao, Tong Tong:
DIffSteISR: Harnessing Diffusion Prior for Superior Real-world Stereo Image Super-Resolution. CoRR abs/2408.07516 (2024) - [i32]Yuhao Wang, Chao Hao, Yawen Cui, Xinqi Su, Weicheng Xie, Tao Tan, Zitong Yu:
TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Model. CoRR abs/2408.12141 (2024) - [i31]Siqi Luo, Yi Xin, Yuntao Du, Zhongwei Wan, Tao Tan, Guangtao Zhai, Xiaohong Liu:
Enhancing Test Time Adaptation with Few-shot Guidance. CoRR abs/2409.01341 (2024) - [i30]Xin Wang, Tao Tan, Yuan Gao, Eric Marcus, Luyi Han, Antonio Portaluri, Tianyu Zhang, Chunyao Lu, Xinglong Liang, Regina Beets-Tan, Jonas Teuwen, Ritse Mann:
Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms. CoRR abs/2409.06887 (2024) - [i29]Qinzhuo Wu, Weikai Xu, Wei Liu, Tao Tan, Jianfeng Liu, Ang Li, Jian Luan, Bin Wang, Shuo Shang:
MobileVLM: A Vision-Language Model for Better Intra- and Inter-UI Understanding. CoRR abs/2409.14818 (2024) - [i28]Tao Tan, Yining Qian, Ang Lv, Hongzhan Lin, Songhao Wu, Yongbo Wang, Feng Wang, Jingtong Wu, Xin Lu, Rui Yan:
PEAR: Position-Embedding-Agnostic Attention Re-weighting Enhances Retrieval-Augmented Generation with Zero Inference Overhead. CoRR abs/2409.19745 (2024) - 2023
- [i27]Yiping Jiao, Jeroen van der Laak, Shadi Albarqouni, Zhang Li, Tao Tan, Abhir Bhalerao, Jiabo Ma, Jiamei Sun, Johnathon Pocock, Josien P. W. Pluim, Navid Alemi Koohbanani, Raja Muhammad Saad Bashir, Shan E Ahmed Raza, Sibo Liu, Simon Graham, Suzanne C. Wetstein, Syed Ali Khurram, Thomas Watson, Nasir M. Rajpoot, Mitko Veta, Francesco Ciompi:
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset. CoRR abs/2301.06304 (2023) - [i26]Luyi Han, Tao Tan, Tianyu Zhang, Yunzhi Huang, Xin Wang, Yuan Gao, Jonas Teuwen, Ritse Mann:
Synthesis-based Imaging-Differentiation Representation Learning for Multi-Sequence 3D/4D MRI. CoRR abs/2302.00517 (2023) - [i25]Tianyu Zhang, Tao Tan, Luyi Han, Xin Wang, Yuan Gao, Jonas Teuwen, Regina Beets-Tan, Ritse Mann:
IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data. CoRR abs/2302.01788 (2023) - [i24]Yunlong Dong, Xiaohong Liu, Yixuan Gao, Xunchu Zhou, Tao Tan, Guangtao Zhai:
Light-VQA: A Multi-Dimensional Quality Assessment Model for Low-Light Video Enhancement. CoRR abs/2305.09512 (2023) - [i23]Shan Huang, Xiaohong Liu, Tao Tan, Menghan Hu, Xiaoer Wei, Tingli Chen, Bin Sheng:
TransMRSR: Transformer-based Self-Distilled Generative Prior for Brain MRI Super-Resolution. CoRR abs/2306.06669 (2023) - [i22]Tao Wang, Xinlin Zhang, Yuanbo Zhou, Junlin Lan, Tao Tan, Min Du, Qinquan Gao, Tong Tong:
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification. CoRR abs/2306.16918 (2023) - [i21]Luyi Han, Tianyu Zhang, Yunzhi Huang, Haoran Dou, Xin Wang, Yuan Gao, Chunyao Lu, Tao Tan, Ritse Mann:
An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis. CoRR abs/2307.00885 (2023) - [i20]Tianyu Zhang, Luyi Han, Anna D'Angelo, Xin Wang, Yuan Gao, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann:
Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism. CoRR abs/2307.00895 (2023) - [i19]Xin Wang, Tao Tan, Yuan Gao, Luyi Han, Tianyu Zhang, Chunyao Lu, Regina Beets-Tan, Ruisheng Su, Ritse Mann:
DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning. CoRR abs/2307.02935 (2023) - [i18]Rongsheng Wang, Yaofei Duan, Chan-Tong Lam, Jiexi Chen, Jiangsheng Xu, Haoming Chen, Xiaohong Liu, Patrick Cheong-Iao Pang, Tao Tan:
IvyGPT: InteractiVe Chinese pathwaY language model in medical domain. CoRR abs/2307.10512 (2023) - [i17]Yuanbin Chen, Tao Wang, Hui Tang, Longxuan Zhao, Ruige Zong, Tao Tan, Xinlin Zhang, Tong Tong:
Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image Segmentation. CoRR abs/2308.16573 (2023) - [i16]Tao Wang, Yuanbin Chen, Xinlin Zhang, Yuanbo Zhou, Junlin Lan, Bizhe Bai, Tao Tan, Min Du, Qinquan Gao, Tong Tong:
Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation. CoRR abs/2311.10349 (2023) - [i15]Xiangyu Xiong, Yue Sun, Xiaohong Liu, Chan-Tong Lam, Tong Tong, Hao Chen, Qinquan Gao, Wei Ke, Tao Tan:
A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classification. CoRR abs/2311.14388 (2023) - [i14]Luyi Han, Tao Tan, Ritse Mann:
Fine-Grained Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation. CoRR abs/2311.15090 (2023) - [i13]Rongsheng Wang, Haoming Chen, Ruizhe Zhou, Yaofei Duan, Kunyan Cai, Han Ma, Jiaxi Cui, Jian Li, Patrick Cheong-Iao Pang, Yapeng Wang, Tao Tan:
Aurora: Activating Chinese chat capability for Mixtral-8x7B sparse Mixture-of-Experts through Instruction-Tuning. CoRR abs/2312.14557 (2023) - [i12]Xiangyu Xiong, Yue Sun, Xiaohong Liu, Wei Ke, Chan-Tong Lam, Jiangang Chen, Mingfeng Jiang, Mingwei Wang, Hui Xie, Tong Tong, Qinquan Gao, Hao Chen, Tao Tan:
Distance Guided Generative Adversarial Network for Explainable Binary Classifications. CoRR abs/2312.17538 (2023) - 2022
- [i11]Luyi Han, Yunzhi Huang, Tao Tan, Ritse Mann:
Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction based on Semi-Supervised Contrastive Learning. CoRR abs/2210.04255 (2022) - [i10]Wenbo Du, Tao Tan, Haijun Zhang, Xianbin Cao, Gang Yan, Osvaldo Simeone:
Network Topology Inference based on Timing Meta-Data. CoRR abs/2210.05439 (2022) - 2021
- [i9]Xiaomeng Dong, Tao Tan, Michael Potter, Yun-Chan Tsai, Gaurav Kumar, V. Ratna Saripalli:
To Raise or Not To Raise: The Autonomous Learning Rate Question. CoRR abs/2106.08767 (2021) - [i8]Hamed Fayyaz, Ehsan Kozegar, Tao Tan, Mohsen Soryani:
Mass Segmentation in Automated 3-D Breast Ultrasound Using Dual-Path U-net. CoRR abs/2109.08330 (2021) - 2020
- [i7]Ruisheng Su, Weiyi Xie, Tao Tan:
2.75D Convolutional Neural Network for Pulmonary Nodule Classification in Chest CT. CoRR abs/2002.04251 (2020) - [i6]Zhang Li, Jiehua Zhang, Tao Tan, Xichao Teng, Xiaoliang Sun, Yang Li, Lihong Liu, Yang Xiao, Byungjae Lee, Yilong Li, Qianni Zhang, Shujiao Sun, Yushan Zheng, Junyu Yan, Ni Li, Yiyu Hong, Junsu Ko, Hyun Jung, Yanling Liu, Yu-cheng Chen, Ching-Wei Wang, Vladimir Yurovskiy, Pavel Maevskikh, Vahid Khanagha, Yi Jiang, Xiangjun Feng, Zhihong Liu, Daiqiang Li, Peter J. Schüffler, Qifeng Yu, Hui Chen, Yuling Tang, Geert Litjens:
Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images - the ACDC@LungHP Challenge 2019. CoRR abs/2008.09352 (2020) - [i5]Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash:
Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19. CoRR abs/2011.05186 (2020) - 2019
- [i4]Jie Xing, Zheren Li, Biyuan Wang, Bingbin Yu, Farhad Ghazvinian Zanjani, Aiwen Zheng, Remco Duits, Tao Tan:
Automated Segmentation of Lesions in Ultrasound Using Semi-pixel-wise Cycle Generative Adversarial Nets. CoRR abs/1905.01902 (2019) - 2018
- [i3]Tao Tan, Zhang Li, Haixia Liu, Ping Liu, Wenfang Tang, Hui Li, Yue Sun, Yusheng Yan, Keyu Li, Tao Xu, Shanshan Wan, Ke Lou, Jun Xu, Huiming Ying, Quchang Ouyang, Yuling Tang, Zheyu Hu, Qiang Li:
Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning. CoRR abs/1802.03617 (2018) - [i2]Zhang Li, Zheyu Hu, Jiaolong Xu, Tao Tan, Hui Chen, Zhi Duan, Ping Liu, Jun Tang, Guoping Cai, Quchang Ouyang, Yuling Tang, Geert Litjens, Qiang Li:
Computer-aided diagnosis of lung carcinoma using deep learning - a pilot study. CoRR abs/1803.05471 (2018) - 2017
- [i1]Dongsheng Jiang, Weiqiang Dou, Luc P. J. Vosters, Xiayu Xu, Yue Sun, Tao Tan:
Denoising of 3D magnetic resonance images with multi-channel residual learning of convolutional neural network. CoRR abs/1712.08726 (2017)
Coauthor Index
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