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Min 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
— University of Technology Sydney, School of Computing and Communications, Sydney, NSW, Australia (and 2 more)
- Min Xu 0002
- Min Xu 0003
- Min Xu 0004
- Min Xu 0005
- Min Xu 0006 — University of Science and Technology of China, Department of Precision Machinery and Precision Instrumentation, Hefei, China
- Min Xu 0007
- Min Xu 0008
- Min Xu 0010 — Carnegie Mellon University, Machine Learning Department, School of Computer Science, Pittsburgh, PA, USA
- Min Xu 0011
- Min Xu 0012 — Syracuse University, Department of Electrical and Computer Engineering, NY, USA
- Min Xu 0013
2020 – today
- 2025
- [j28]Ali Dabouei, Jishnu Parayil Shibu
Deep video anomaly detection in automated laboratory setting. Expert Syst. Appl. 271: 126581 (2025) - 2024
- [j27]Simon Graham
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. Medical Image Anal. 92: 103047 (2024) - [c33]Xingjian Li, Pengkun Yang, Yangcheng Gu, Xueying Zhan, Tianyang Wang, Min Xu, Chengzhong Xu:
Deep Active Learning with Noise Stability. AAAI 2024: 13655-13663 - [c32]Yizhou Zhao, Tuanfeng Yang Wang, Bhiksha Raj, Min Xu, Jimei Yang, Chun-Hao Paul Huang:
Synergistic Global-Space Camera and Human Reconstruction from Videos. CVPR 2024: 1216-1226 - [c31]Hussam Azzuni, Abdulmotaleb El-Saddik, Mohammad Yaqub, Min Xu:
MDSN: Multi-stage Context-Aware Nuclei Detection-Segmentation Network. MOVI@MICCAI 2024: 130-139 - [c30]Yixing Lu, Zhaoxin Fan, Min Xu:
Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentation. MMM (2) 2024: 141-155 - [c29]Yizhou Zhao, Hengwei Bian, Kaihua Chen, Pengliang Ji, Liao Qu, Shao-yu Lin, Weichen Yu, Haoran Li, Hao Chen, Jun Shen, Bhiksha Raj, Min Xu:
Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation. NeurIPS 2024 - [i33]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) - [i32]Chentianye Xu, Xueying Zhan, Min Xu:
CryoMAE: Few-Shot Cryo-EM Particle Picking with Masked Autoencoders. CoRR abs/2404.10178 (2024) - [i31]Yizhou Zhao, Tuanfeng Y. Wang, Bhiksha Raj, Min Xu, Jimei Yang, Chun-Hao Paul Huang:
Synergistic Global-space Camera and Human Reconstruction from Videos. CoRR abs/2405.14855 (2024) - [i30]Mostofa Rafid Uddin, Min Xu:
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization. CoRR abs/2405.16796 (2024) - [i29]Xi Xiao, Wentao Wang, Jiacheng Xie, Lijing Zhu, Gaofei Chen, Zhengji Li, Tianyang Wang, Min Xu:
HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affinity Prediction. CoRR abs/2406.17697 (2024) - [i28]Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthelemy, Jun Shen, Min Xu:
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo Labeling. CoRR abs/2406.18610 (2024) - [i27]Shirley Kokane, Mostofa Rafid Uddin, Min Xu:
Improving Knowledge Distillation in Transfer Learning with Layer-wise Learning Rates. CoRR abs/2407.04871 (2024) - [i26]Yuchang Su, Renping Zhou, Siyu Huang, Xingjian Li, Tianyang Wang, Ziyue Wang, Min Xu:
Multimodal Generalized Category Discovery. CoRR abs/2409.11624 (2024) - [i25]Muhammad Hamza Sharif, Dmitry Demidov, Asif Hanif, Mohammad Yaqub, Min Xu:
TransResNet: Integrating the Strengths of ViTs and CNNs for High Resolution Medical Image Segmentation via Feature Grafting. CoRR abs/2410.00986 (2024) - [i24]Muhammad Hamza Sharif, Muzammal Naseer, Mohammad Yaqub, Min Xu, Mohsen Guizani:
Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical Image Segmentation. CoRR abs/2410.01003 (2024) - 2023
- [j26]Ziheng Duan, Yi Dai, Ahyeon Hwang
iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease. PLoS Comput. Biol. 19(9) (2023) - [i23]Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR abs/2303.06274 (2023) - [i22]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) - [i21]Yixing Lu, Zhaoxin Fan, Min Xu:
Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentation. CoRR abs/2309.06618 (2023) - 2022
- [j25]Satish Chandra
Prolificacy Assessment of Spermatozoan via State-of-the-Art Deep Learning Frameworks. IEEE Access 10: 13715-13727 (2022) - [j24]Aviral Chharia
Deep-Precognitive Diagnosis: Preventing Future Pandemics by Novel Disease Detection With Biologically-Inspired Conv-Fuzzy Network. IEEE Access 10: 23167-23185 (2022) - [j23]Nanqing Dong
Towards robust partially supervised multi-structure medical image segmentation on small-scale data. Appl. Soft Comput. 114: 108074 (2022) - [j22]Hmrishav Bandyopadhyay
Cryo-shift: reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization. Bioinform. 38(4): 977-984 (2022) - [j21]Xiangrui Zeng, Ziqian Lin, Mostofa Rafid Uddin, Bo Zhou, Chao Cheng, Jing Zhang
Structure Detection in Three-Dimensional Cellular Cryoelectron Tomograms by Reconstructing Two-Dimensional Annotated Tilt Series. J. Comput. Biol. 29(8): 932-941 (2022) - [j20]Cheyu Lee
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) - [j19]Shan Gao
Macromolecules Structural Classification With a 3D Dilated Dense Network in Cryo-Electron Tomography. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 209-219 (2022) - [c28]Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang
Boosting Active Learning via Improving Test Performance. AAAI 2022: 8566-8574 - [c27]Muhammad Hamza Sharif, Dmitry Demidov, Asif Hanif, Mohammad Yaqub, Min Xu:
TransResNet: Integrating the Strengths of ViTs and CNNs for High Resolution Medical Image Segmentation via Feature Grafting. BMVC 2022: 293 - [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
Unsupervised Multi-Task Learning for 3D Subtomogram Image Alignment, Clustering and Segmentation. ICIP 2022: 2751-2755 - [i20]Hussam Azzuni, Muhammad Ridzuan, Min Xu, Mohammad Yaqub:
Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification. CoRR abs/2203.01940 (2022) - [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
- [j18]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) - [j17]Xuefeng Du, Haohan Wang, Zhenxi Zhu, Xiangrui Zeng, Yi-Wei Chang
Active learning to classify macromolecular structures in situ for less supervision in cryo-electron tomography. Bioinform. 37(16): 2340-2346 (2021) - [j16]Zhanlin Chen, Jing Zhang, Jason Liu
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
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
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
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
Disentangling semantic features of macromolecules in Cryo-Electron Tomography. CoRR abs/2106.14192 (2021) - [i15]Hmrishav Bandyopadhyay
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
- [j15]Feiyang Chen
PUB-SalNet: A Pre-Trained Unsupervised Self-Aware Backpropagation Network for Biomedical Salient Segmentation. Algorithms 13(5): 126 (2020) - [j14]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) - [j13]Yongchun Lü, Xiangrui Zeng, Xinhui Tian, Xiao Shi, Hui Wang, Xiaohui Zheng, Xiaodong Liu, Xiaofang Zhao, Xin Gao
Spark-based parallel calculation of 3D fourier shell correlation for macromolecule structure local resolution estimation. BMC Bioinform. 21-S(13): 391 (2020) - [j12]Ilja Gubins, Marten L. Chaillet
SHREC 2020: Classification in cryo-electron tomograms. Comput. Graph. 91: 279-289 (2020) - [j11]Ran Li, Liangyong Yu, Bo Zhou
Few-shot learning for classification of novel macromolecular structures in cryo-electron tomograms. PLoS Comput. Biol. 16(11) (2020) - [j10]Yumin Zheng
Poly(A)-DG: A deep-learning-based domain generalization method to identify cross-species Poly(A) signal without prior knowledge from target species. PLoS Comput. Biol. 16(11): 1008297 (2020) - [j9]Jie Shi, Xiangrui Zeng, Rui Jiang, Tao Jiang
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
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
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
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
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
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
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
Improving Lesion Segmentation for Diabetic Retinopathy Using Adversarial Learning. ICIAR (2) 2019: 333-344 - [c9]Ziqian Luo
Deep Learning-Based Strategy For Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography. IJCNN 2019: 1-8 - [c8]Zeya Wang, Nanqing Dong
Ellipse Detection of Optic Disc-and-Cup Boundary in Fundus Images. ISBI 2019: 601-604 - [c7]Nanqing Dong
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
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
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
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
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
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
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
Eric P. Xing
aka: Eric Poe Xing
aka: Eric Poe Xing
[j22] [j21] [j19] [c28] [c26] [c25] [c24] [i19] [j18] [j17] [c23] [c22] [c21] [c20] [c19] [i17] [i16] [i15] [i14] [j15] [j14] [j13] [j12] [j11] [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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