Min Xu
Orcid: 0000-0002-0881-5891Affiliations:
- Carnegie Mellon University, Computational Biology Department, Pittsburgh, PA, USA
- University of Southern California, Department of Computational Biology and Bioinformatics, Los Angeles, CA, USA (PhD 2009)
According to our database1,
Min Xu
authored at least 63 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning.
CoRR, 2024
Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentation.
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease.
PLoS Comput. Biol., 2023
CoRR, 2023
2022
Venus: An efficient virus infection detection and fusion site discovery method using single-cell and bulk RNA-seq data.
PLoS Comput. Biol., October, 2022
Macromolecules Structural Classification With a 3D Dilated Dense Network in Cryo-Electron Tomography.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Structure Detection in Three-Dimensional Cellular Cryoelectron Tomograms by Reconstructing Two-Dimensional Annotated Tilt Series.
J. Comput. Biol., 2022
Cryo-shift: reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization.
Bioinform., 2022
Towards robust partially supervised multi-structure medical image segmentation on small-scale data.
Appl. Soft Comput., 2022
Deep-Precognitive Diagnosis: Preventing Future Pandemics by Novel Disease Detection With Biologically-Inspired Conv-Fuzzy Network.
IEEE Access, 2022
Prolificacy Assessment of Spermatozoan via State-of-the-Art Deep Learning Frameworks.
IEEE Access, 2022
Unsupervised Multi-Task Learning for 3D Subtomogram Image Alignment, Clustering and Segmentation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Harmony: A Generic Unsupervised Approach for Disentangling Semantic Content from Parameterized Transformations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
CoRR, 2021
Few shot domain adaptation for in situ macromolecule structural classification in cryoelectron tomograms.
Bioinform., 2021
Active learning to classify macromolecular structures in situ for less supervision in cryo-electron tomography.
Bioinform., 2021
DECODE: a Deep-learning framework for Condensing enhancers and refining boundaries with large-scale functional assays.
Bioinform., 2021
Unsupervised Domain Alignment Based Open Set Structural Recognition of Macromolecules Captured By Cryo-Electron Tomography.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Weakly Supervised 3D Semantic Segmentation Using Cross-Image Consensus and Inter-Voxel Affinity Relations.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Practical Analysis of Macromolecule Identity from Cryo-electron Tomography Images using Deep Learning.
Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021
Proceedings of the 14th Eurographics Workshop on 3D Object Retrieval, 2021
2020
Sensors, 2020
A simulated annealing approach for resolution guided homogeneous cryo-electron microscopy image selection.
Quant. Biol., 2020
Few-shot learning for classification of novel macromolecular structures in cryo-electron tomograms.
PLoS Comput. Biol., 2020
Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels.
CoRR, 2020
Few shot domain adaptation for in situ macromolecule structural classification in cryo-electron tomograms.
CoRR, 2020
Spark-based parallel calculation of 3D fourier shell correlation for macromolecule structure local resolution estimation.
BMC Bioinform., 2020
A unified framework for packing deformable and non-deformable subcellular structures in crowded cryo-electron tomogram simulation.
BMC Bioinform., 2020
PUB-SalNet: A Pre-Trained Unsupervised Self-Aware Backpropagation Network for Biomedical Salient Segmentation.
Algorithms, 2020
Proceedings of the Bioinformatics Research and Applications - 16th International Symposium, 2020
Gum-Net: Unsupervised Geometric Matching for Fast and Accurate 3D Subtomogram Image Alignment and Averaging.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Efficient Cryo-Electron Tomogram Simulation of Macromolecular Crowding with Application to SARS-CoV-2.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
CoRR, 2019
Fine-grained alignment of cryo-electron subtomograms based on MPI parallel optimization.
BMC Bioinform., 2019
Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN.
BMC Bioinform., 2019
Adversarial domain adaptation for cross data source macromolecule in situ structural classification in cellular electron cryo-tomograms.
Bioinform., 2019
Bioinform., 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Deep Learning-Based Strategy For Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography.
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
Semi-supervised Macromolecule Structural Classification in Cellular Electron Cryo-Tomograms using 3D Autoencoding Classifier.
Proceedings of the 30th British Machine Vision Conference 2019, 2019
Open-set Recognition of Unseen Macromolecules in Cellular Electron Cryo-Tomograms by Soft Large Margin Centralized Cosine Loss.
Proceedings of the 30th British Machine Vision Conference 2019, 2019
Regularized Adversarial Training (RAT) for Robust Cellular Electron Cryo Tomograms Classification.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Domain Randomization for Macromolecule Structure Classification and Segmentation in Electron Cyro-tomograms.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the 12th Eurographics Workshop on 3D Object Retrieval, 2019
2018
Improved deep learning-based macromolecules structure classification from electron cryo-tomograms.
Mach. Vis. Appl., 2018
CoRR, 2018
An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classification.
Bioinform., 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Model Compression for Faster Structural Separation of Macromolecules Captured by Cellular Electron Cryo-Tomography.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching.
Proceedings of the British Machine Vision Conference 2018, 2018
Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography.
Proceedings of the British Machine Vision Conference 2018, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation.
CoRR, 2017
Deep learning-based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms.
Bioinform., 2017