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ORCIDMin Xu 0009
Person information
- affiliation: Carnegie Mellon University, Computational Biology Department, Pittsburgh, PA, USA
- affiliation (PhD 2009): University of Southern California, Department of Computational Biology and Bioinformatics, Los Angeles, CA, USA
Other persons with the same name
- Min Xu — disambiguation page
- Min Xu 0001
![[0000-0001-9581-8849]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9581-8849")
— University of Technology Sydney, School of Computing and Communications, Sydney, NSW, Australia (and 2 more) - Min Xu 0002 — Beijing University of Posts and Telecommunications, Wireless Technology Innovation Institute, China
- Min Xu 0003 — Capital Normal University, College of Information Engineering, Beijing, China (and 1 more)
- Min Xu 0004 — University of Maryland, Earth System Science Interdisciplinary Center, College Park, MD, USA (and 1 more)
- Min Xu 0005 — Beijing Normal University, School of Mathematical Sciences, Laboratory of Mathematics and Complex Systems, China (and 1 more)
- Min Xu 0006 — University of Science and Technology of China, Department of Precision Machinery and Precision Instrumentation, Hefei, China
- Min Xu 0007 — Chinese Academy of Sciences, State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, China (and 1 more)
- Min Xu 0008 — Central South University, School of Physics and Electronics, Changsha, China
- Min Xu 0010 — Carnegie Mellon University, Machine Learning Department, School of Computer Science, Pittsburgh, PA, USA
- Min Xu 0011 — University of Alabama, Department of Geography, Tuscaloosa, AL, USA (and 2 more)
- Min Xu 0012 — Syracuse University, Department of Electrical and Computer Engineering, NY, USA
- Min Xu 0013 — Hong Kong Polytechnic University, Department of Industrial and Systems Engineering, Hong Kong (and 1 more)
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2020 – today
- 2024
[c29]Xingjian Li, Pengkun Yang, Yangcheng Gu, Xueying Zhan, Tianyang Wang, Min Xu, Chengzhong Xu:
Deep Active Learning with Noise Stability. AAAI 2024: 13655-13663- [c28]Yixing Lu, Zhaoxin Fan, Min Xu:
Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentation. MMM (2) 2024: 141-155 - [i24]Zhaoxin Fan, Runmin Jiang, Junhao Wu, Xin Huang, Tianyang Wang, Heng Huang, Min Xu:
Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning. CoRR abs/2403.02566 (2024) - [i23]Chentianye Xu, Xueying Zhan, Min Xu:
CryoMAE: Few-Shot Cryo-EM Particle Picking with Masked Autoencoders. CoRR abs/2404.10178 (2024) - [i22]Mostofa Rafid Uddin, Min Xu:
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization. CoRR abs/2405.16796 (2024) - 2023
- [j25]Ziheng Duan, Yi Dai, Ahyeon Hwang, Cheyu Lee, Kaichi Xie, Chutong Xiao, Min Xu, Matthew J. Girgenti, Jing Zhang:
iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease. PLoS Comput. Biol. 19(9) (2023) - [i21]Zhaoxin Fan, Puquan Pan, Zeren Zhang, Ce Chen, Tianyang Wang, Siyang Zheng, Min Xu:
DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation. CoRR abs/2307.09604 (2023) - [i20]Yixing Lu, Zhaoxin Fan, Min Xu:
Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentation. CoRR abs/2309.06618 (2023) - 2022
- [j24]Satish Chandra, Mahendra Kumar Gourisaria, Harshvardhan GM, Debanjan Konar, Xin Gao, Tianyang Wang, Min Xu:
Prolificacy Assessment of Spermatozoan via State-of-the-Art Deep Learning Frameworks. IEEE Access 10: 13715-13727 (2022) - [j23]Aviral Chharia, Rahul Upadhyay, Vinay Kumar, Chao Cheng, Jing Zhang, Tianyang Wang, Min Xu:
Deep-Precognitive Diagnosis: Preventing Future Pandemics by Novel Disease Detection With Biologically-Inspired Conv-Fuzzy Network. IEEE Access 10: 23167-23185 (2022) - [j22]Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing:
Towards robust partially supervised multi-structure medical image segmentation on small-scale data. Appl. Soft Comput. 114: 108074 (2022) - [j21]Hmrishav Bandyopadhyay, Zihao Deng, Leiting Ding, Sinuo Liu, Mostofa Rafid Uddin, Xiangrui Zeng, Sima Behpour, Min Xu:
Cryo-shift: reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization. Bioinform. 38(4): 977-984 (2022) - [j20]Xiangrui Zeng, Ziqian Lin, Mostofa Rafid Uddin, Bo Zhou, Chao Cheng, Jing Zhang, Zachary Freyberg, Min Xu:
Structure Detection in Three-Dimensional Cellular Cryoelectron Tomograms by Reconstructing Two-Dimensional Annotated Tilt Series. J. Comput. Biol. 29(8): 932-941 (2022) - [j19]Cheyu Lee, Yuhang Chen, Ziheng Duan, Min Xu, Matthew J. Girgenti, Ke Xu, Mark Gerstein, Jing Zhang:
Venus: An efficient virus infection detection and fusion site discovery method using single-cell and bulk RNA-seq data. PLoS Comput. Biol. 18(10): 1010636 (2022) - [j18]Shan Gao, Renmin Han, Xiangrui Zeng, Zhiyong Liu, Min Xu, Fa Zhang:
Macromolecules Structural Classification With a 3D Dilated Dense Network in Cryo-Electron Tomography. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 209-219 (2022) - [c27]Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu:
Boosting Active Learning via Improving Test Performance. AAAI 2022: 8566-8574 - [c26]Mostofa Rafid Uddin, Gregory Howe, Xiangrui Zeng, Min Xu:
Harmony: A Generic Unsupervised Approach for Disentangling Semantic Content from Parameterized Transformations. CVPR 2022: 20614-20623 - [c25]Tianyang Wang, Bo Li, Jing Zhang, Xiangrui Zeng, Mostofa Rafid Uddin, Wei Wu, Min Xu:
Deep Active Learning for Cryo-Electron Tomography Classification. ICIP 2022: 1611-1615 - [c24]Haoyi Zhu, Chuting Wang, Yuanxin Wang, Zhaoxin Fan, Mostofa Rafid Uddin, Xin Gao, Jing Zhang, Xiangrui Zeng, Min Xu:
Unsupervised Multi-Task Learning for 3D Subtomogram Image Alignment, Clustering and Segmentation. ICIP 2022: 2751-2755 - [i19]Ilja Gubins, Marten L. Chaillet, Gijs van der Schot, M. Cristina Trueba, Remco C. Veltkamp, Friedrich Förster, Xiao Wang, Daisuke Kihara, Emmanuel Moebel, Nguyen P. Nguyen, Tommi A. White, Filiz Bunyak, Giorgos Papoulias, Stavros Gerolymatos, Evangelia I. Zacharaki, Konstantinos Moustakas, Xiangrui Zeng, Sinuo Liu, Min Xu, Yaoyu Wang, Cheng Chen, Xuefeng Cui, Fa Zhang:
SHREC 2021: Classification in cryo-electron tomograms. CoRR abs/2203.10035 (2022) - [i18]Xingjian Li, Pengkun Yang, Tianyang Wang, Xueying Zhan, Min Xu, Dejing Dou, Chengzhong Xu:
Deep Active Learning with Noise Stability. CoRR abs/2205.13340 (2022) - 2021
- [j17]Liangyong Yu, Ran Li, Xiangrui Zeng, Hongyi Wang, Jie Jin, Ge Yang, Rui Jiang, Min Xu:
Few shot domain adaptation for in situ macromolecule structural classification in cryoelectron tomograms. Bioinform. 37(2): 185-191 (2021) - [j16]Xuefeng Du, Haohan Wang, Zhenxi Zhu, Xiangrui Zeng, Yi-Wei Chang, Jing Zhang, Eric P. Xing, Min Xu:
Active learning to classify macromolecular structures in situ for less supervision in cryo-electron tomography. Bioinform. 37(16): 2340-2346 (2021) - [j15]Zhanlin Chen, Jing Zhang, Jason Liu, Yi Dai, Donghoon Lee, Martin Renqiang Min, Min Xu, Mark Gerstein:
DECODE: a Deep-learning framework for Condensing enhancers and refining boundaries with large-scale functional assays. Bioinform. 37(Supplement): 280-288 (2021) - [c23]Ilja Gubins, Marten L. Chaillet, Gijs van der Schot, M. Cristina Trueba, Remco C. Veltkamp, Friedrich Förster, Xiao Wang, Daisuke Kihara, Emmanuel Moebel, Nguyen P. Nguyen, Tommi A. White, Filiz Bunyak, Giorgos Papoulias, Stavros Gerolymatos, Evangelia I. Zacharaki, Konstantinos Moustakas, Xiangrui Zeng, Sinuo Liu, Min Xu, Yaoyu Wang, Cheng Chen, Xuefeng Cui, Fa Zhang:
SHREC 2021: Classification in Cryo-electron Tomograms. 3DOR 2021: 5-17 - [c22]Mostofa Rafid Uddin, Ajmain Yasar Ahmed, Kafi Khan, Md Shahrar Fatemi, Xiangrui Zeng, Min Xu:
Practical Analysis of Macromolecule Identity from Cryo-electron Tomography Images using Deep Learning. AIPR 2021: 1-9 - [c21]Xiaoyu Zhu, Jeffrey Chen, Xiangrui Zeng, Junwei Liang, Chengqi Li, Sinuo Liu, Sima Behpour, Min Xu:
Weakly Supervised 3D Semantic Segmentation Using Cross-Image Consensus and Inter-Voxel Affinity Relations. ICCV 2021: 2814-2824 - [c20]Xiangrui Zeng, Gregory Howe, Min Xu:
End-to-end robust joint unsupervised image alignment and clustering. ICCV 2021: 3834-3846 - [c19]Yuchen Zeng, Gregory Howe, Kai Yi, Xiangrui Zeng, Jing Zhang, Yi-Wei Chang, Min Xu:
Unsupervised Domain Alignment Based Open Set Structural Recognition of Macromolecules Captured By Cryo-Electron Tomography. ICIP 2021: 106-110 - [i17]Xuefeng Du, Haohan Wang, Zhenxi Zhu, Xiangrui Zeng, Yi-Wei Chang, Jing Zhang, Eric Poe Xing, Min Xu:
Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography. CoRR abs/2102.12040 (2021) - [i16]Kai Yi, Jianye Pang, Yungeng Zhang, Xiangrui Zeng, Min Xu:
Disentangling semantic features of macromolecules in Cryo-Electron Tomography. CoRR abs/2106.14192 (2021) - [i15]Hmrishav Bandyopadhyay, Zihao Deng, Leiting Ding, Sinuo Liu, Mostofa Rafid Uddin, Xiangrui Zeng, Sima Behpour, Min Xu:
Cryo-shift: Reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization. CoRR abs/2111.09114 (2021) - [i14]Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu:
Boosting Active Learning via Improving Test Performance. CoRR abs/2112.05683 (2021) - 2020
- [j14]Feiyang Chen, Ying Jiang, Xiangrui Zeng, Jing Zhang, Xin Gao, Min Xu:
PUB-SalNet: A Pre-Trained Unsupervised Self-Aware Backpropagation Network for Biomedical Salient Segmentation. Algorithms 13(5): 126 (2020) - [j13]Sinuo Liu, Xiaojuan Ban, Xiangrui Zeng, Fengnian Zhao, Yuan Gao, Wenjie Wu, Hongpan Zhang, Feiyang Chen, Thomas Hall, Xin Gao, Min Xu:
A unified framework for packing deformable and non-deformable subcellular structures in crowded cryo-electron tomogram simulation. BMC Bioinform. 21(1): 399 (2020) - [j12]Yongchun Lü, Xiangrui Zeng, Xinhui Tian, Xiao Shi, Hui Wang, Xiaohui Zheng, Xiaodong Liu, Xiaofang Zhao, Xin Gao, Min Xu:
Spark-based parallel calculation of 3D fourier shell correlation for macromolecule structure local resolution estimation. BMC Bioinform. 21-S(13): 391 (2020) - [j11]Ilja Gubins, Marten L. Chaillet, Gijs van der Schot, Remco C. Veltkamp, Friedrich Förster, Yu Hao, Xiaohua Wan, Xuefeng Cui, Fa Zhang, Emmanuel Moebel, Xiao Wang, Daisuke Kihara, Xiangrui Zeng, Min Xu, Nguyen P. Nguyen, Tommi A. White, Filiz Bunyak:
SHREC 2020: Classification in cryo-electron tomograms. Comput. Graph. 91: 279-289 (2020) - [j10]Ran Li, Liangyong Yu, Bo Zhou, Xiangrui Zeng, Zhenyu Wang, Xiaoyan Yang, Jing Zhang, Xin Gao, Rui Jiang, Min Xu:
Few-shot learning for classification of novel macromolecular structures in cryo-electron tomograms. PLoS Comput. Biol. 16(11) (2020) - [j9]Jie Shi, Xiangrui Zeng, Rui Jiang, Tao Jiang, Min Xu:
A simulated annealing approach for resolution guided homogeneous cryo-electron microscopy image selection. Quant. Biol. 8(1): 51-63 (2020) - [j8]Yufeng Yang, Yixiao Ma, Jing Zhang, Xin Gao, Min Xu:
AttPNet: Attention-Based Deep Neural Network for 3D Point Set Analysis. Sensors 20(19): 5455 (2020) - [c18]Sinuo Liu, Yan Ma, Xiaojuan Ban, Xiangrui Zeng, Mohan Vamsi Nallapareddy, Ajinkya Chaudhari, Min Xu:
Efficient Cryo-Electron Tomogram Simulation of Macromolecular Crowding with Application to SARS-CoV-2. BIBM 2020: 80-87 - [c17]Xiangrui Zeng, Min Xu:
Gum-Net: Unsupervised Geometric Matching for Fast and Accurate 3D Subtomogram Image Alignment and Averaging. CVPR 2020: 4072-4083 - [c16]Shan Gao, Renmin Han, Xiangrui Zeng, Xuefeng Cui, Zhiyong Liu, Min Xu, Fa Zhang:
Dilated-DenseNet for Macromolecule Classification in Cryo-electron Tomography. ISBRA 2020: 82-94 - [i13]Qiqi Xiao, Jiaxu Zou, Muqiao Yang, Alex Gaudio, Kris Kitani, Asim Smailagic, Pedro Costa, Min Xu:
Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial Learning. CoRR abs/2007.13854 (2020) - [i12]Liangyong Yu, Ran Li, Xiangrui Zeng, Hongyi Wang, Jie Jin, Ge Yang, Rui Jiang, Min Xu:
Few shot domain adaptation for in situ macromolecule structural classification in cryo-electron tomograms. CoRR abs/2007.15422 (2020) - [i11]Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing:
Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels. CoRR abs/2011.14164 (2020)
2010 – 2019
- 2019
- [j7]Renmin Han, Zhipeng Bao, Xiangrui Zeng, Tongxin Niu, Fa Zhang, Min Xu, Xin Gao:
A joint method for marker-free alignment of tilt series in electron tomography. Bioinform. 35(14): i249-i259 (2019) - [j6]Ruogu Lin, Xiangrui Zeng, Kris Kitani, Min Xu:
Adversarial domain adaptation for cross data source macromolecule in situ structural classification in cellular electron cryo-tomograms. Bioinform. 35(14): i260-i268 (2019) - [j5]Yongchun Lü, Xiangrui Zeng, Xiaofang Zhao, Shirui Li, Hua Li, Xin Gao, Min Xu:
Fine-grained alignment of cryo-electron subtomograms based on MPI parallel optimization. BMC Bioinform. 20(1): 443:1-443:13 (2019) - [j4]Ran Li, Xiangrui Zeng, Stephanie E. Sigmund, Ruogu Lin, Bo Zhou, Chang Liu, Kaiwen Wang, Rui Jiang, Zachary Freyberg, Hairong Lv, Min Xu:
Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN. BMC Bioinform. 20-S(3): 75-85 (2019) - [c15]Ilja Gubins, Gijs van der Schot, Remco C. Veltkamp, Friedrich Förster, Xuefeng Du, Xiangrui Zeng, Zhenxi Zhu, Lufan Chang, Min Xu, Emmanuel Moebel, Antonio Martínez-Sánchez, Charles Kervrann, Tuan Manh Lai, Xusi Han, Genki Terashi, Daisuke Kihara, Benjamin A. Himes, Xiaohua Wan, Jingrong Zhang, Shan Gao, Yu Hao, Zhilong Lv, Xiaohua Wan, Zhidong Yang, Zijun Ding, Xuefeng Cui, Fa Zhang:
Classification in Cryo-Electron Tomograms. 3DOR@Eurographics 2019: 49-54 - [c14]Xindi Wu, Yijun Mao, Haohan Wang, Xiangrui Zeng, Xin Gao, Eric P. Xing, Min Xu:
Regularized Adversarial Training (RAT) for Robust Cellular Electron Cryo Tomograms Classification. BIBM 2019: 1-6 - [c13]Chengqian Che, Zhou Xian, Xiangrui Zeng, Xin Gao, Min Xu:
Domain Randomization for Macromolecule Structure Classification and Segmentation in Electron Cyro-tomograms. BIBM 2019: 6-11 - [c12]Siyuan Liu, Xuefeng Du, Rong Xi, Fuya Xu, Xiangrui Zeng, Bo Zhou, Min Xu:
Semi-supervised Macromolecule Structural Classification in Cellular Electron Cryo-Tomograms using 3D Autoencoding Classifier. BMVC 2019: 30 - [c11]Xuefeng Du, Xiangrui Zeng, Bo Zhou, Alex Singh, Min Xu:
Open-set Recognition of Unseen Macromolecules in Cellular Electron Cryo-Tomograms by Soft Large Margin Centralized Cosine Loss. BMVC 2019: 148 - [c10]Qiqi Xiao, Jiaxu Zou, Muqiao Yang, Alex Gaudio, Kris Kitani, Asim Smailagic, Pedro Costa, Min Xu:
Improving Lesion Segmentation for Diabetic Retinopathy Using Adversarial Learning. ICIAR (2) 2019: 333-344 - [c9]Ziqian Luo, Xiangrui Zeng, Zhipeng Bao, Min Xu:
Deep Learning-Based Strategy For Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography. IJCNN 2019: 1-8 - [c8]Zeya Wang, Nanqing Dong, Sean D. Rosario, Min Xu, Pengtao Xie, Eric P. Xing:
Ellipse Detection of Optic Disc-and-Cup Boundary in Fundus Images. ISBI 2019: 601-604 - [c7]Nanqing Dong, Min Xu, Xiaodan Liang, Yiliang Jiang, Wei Dai, Eric P. Xing:
Neural Architecture Search for Adversarial Medical Image Segmentation. MICCAI (6) 2019: 828-836 - [i10]Ziqian Luo, Xiangrui Zeng, Zhipeng Bao, Min Xu:
Deep Learning-Based Strategy for Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography. CoRR abs/1908.09993 (2019) - [i9]Xiangrui Zeng, Min Xu:
AITom: Open-source AI platform for cryo-electron Tomography data analysis. CoRR abs/1911.03044 (2019) - 2018
- [j3]Yixiu Zhao, Xiangrui Zeng, Qiang Guo, Min Xu:
An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classification. Bioinform. 34(13): i227-i236 (2018) - [j2]Chengqian Che, Ruogu Lin, Xiangrui Zeng, Karim Elmaaroufi, John M. Galeotti, Min Xu:
Improved deep learning-based macromolecules structure classification from electron cryo-tomograms. Mach. Vis. Appl. 29(8): 1227-1236 (2018) - [c6]Bo Zhou, Qiang Guo, Kaiwen Wang, Xiangrui Zeng, Xin Gao, Min Xu:
Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms. BIBM 2018: 2467-2473 - [c5]Kaiwen Wang, Xiangrui Zeng, Xiaodan Liang, Zhiguang Huo, Eric P. Xing, Min Xu:
Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching. BMVC 2018: 130 - [c4]Chang Liu, Xiangrui Zeng, Kaiwen Wang, Qiang Guo, Min Xu:
Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography. BMVC 2018: 271 - [c3]JiaLiang Guo, Bo Zhou, Xiangrui Zeng, Zachary Freyberg, Min Xu:
Model Compression for Faster Structural Separation of Macromolecules Captured by Cellular Electron Cryo-Tomography. ICIAR 2018: 144-152 - [c2]Chang Liu, Xiangrui Zeng, Ruogu Lin, Xiaodan Liang, Zachary Freyberg, Eric P. Xing, Min Xu:
Deep Learning Based Supervised Semantic Segmentation of Electron Cryo-Subtomograms. ICIP 2018: 1578-1582 - [c1]Guannan Zhao, Bo Zhou, Kaiwen Wang, Rui Jiang, Min Xu:
Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations. MICCAI (1) 2018: 485-492 - [i8]Bo Zhou, Qiang Guo, Xiangrui Zeng, Min Xu:
Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms. CoRR abs/1801.10562 (2018) - [i7]JiaLiang Guo, Bo Zhou, Xiangrui Zeng, Zachary Freyberg, Min Xu:
Model compression for faster structural separation of macromolecules captured by Cellular Electron Cryo-Tomography. CoRR abs/1801.10597 (2018) - [i6]Chang Liu, Xiangrui Zeng, Ruogu Lin, Xiaodan Liang, Zachary Freyberg, Eric P. Xing, Min Xu:
Deep learning based supervised semantic segmentation of Electron Cryo-Subtomograms. CoRR abs/1802.04087 (2018) - [i5]Yixiu Zhao, Xiangrui Zeng, Qiang Guo, Min Xu:
An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classification. CoRR abs/1804.01203 (2018) - [i4]Kaiwen Wang, Xiangrui Zeng, Xiaodan Liang, Zhiguang Huo, Eric P. Xing, Min Xu:
Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching. CoRR abs/1805.04634 (2018) - [i3]Chang Liu, Xiangrui Zeng, Kaiwen Wang, Qiang Guo, Min Xu:
Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography. CoRR abs/1805.06332 (2018) - [i2]Guannan Zhao, Bo Zhou, Kaiwen Wang, Rui Jiang, Min Xu:
Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations. CoRR abs/1806.00102 (2018) - 2017
- [j1]Min Xu, Xiaoqi Chai, Hariank Muthakana, Xiaodan Liang, Ge Yang, Tzviya Zeev-Ben-Mordehai, Eric P. Xing:
Deep learning-based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms. Bioinform. 33(14): i13-i22 (2017) - [i1]Xiangrui Zeng, Miguel Ricardo Leung, Tzviya Zeev-Ben-Mordehai, Min Xu:
A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation. CoRR abs/1706.04970 (2017)
Coauthor Index
[j21] [j20] [j18] [c27] [c26] [c25] [c24] [i19] [j17] [j16] [c23] [c22] [c21] [c20] [c19] [i17] [i16] [i15] [i14] [j14] [j13] [j12] [j11] [j10] [j9] [c18] [c17] [c16] [i12] [j7] [j6] [j5] [j4] [c15] [c14] [c13] [c12] [c11] [c9] [i10] [i9] [j3] [j2] [c6] [c5] [c4] [c3] [c2] [i8] [i7] [i6] [i5] [i4] [i3] [i1]
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