Min Xu

Orcid: 0000-0002-0881-5891

Affiliations:

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 146 papers between 2006 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

From Unsupervised to Zero-Shot: 3D Domain Adaptation for Cryo-Electron Tomography Segmentation.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., May, 2026

Score-Based Matching with Target Guidance for Cryo-EM Denoising.

[BibT_eX]

[DOI]

CoRR, April, 2026

MedOpenClaw: Auditable Medical Imaging Agents Reasoning over Uncurated Full Studies.

[BibT_eX]

[DOI]

CoRR, March, 2026

Mind the Rarities: Can Rare Skin Diseases Be Reliably Diagnosed via Diagnostic Reasoning?

[BibT_eX]

[DOI]

CoRR, March, 2026

Beyond Medical Diagnostics: How Medical Multimodal Large Language Models Think in Space.

[BibT_eX]

[DOI]

CoRR, March, 2026

Evo: Autoregressive-Diffusion Large Language Models with Evolving Balance.

[BibT_eX]

[DOI]

CoRR, March, 2026

Constraint-Aware Discrete-Time PID Gain Optimization for Robotic Joint Control Under Actuator Saturation.

[BibT_eX]

[DOI]

Ojasva Mishra

Xiaolong Wu

Min Xu

CoRR, January, 2026

Domain-invariant Mixed-domain Semi-supervised Medical Image Segmentation with Clustered Maximum Mean Discrepancy Alignment.

[BibT_eX]

[DOI]

CoRR, January, 2026

FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation.

[BibT_eX]

[DOI]

CoRR, January, 2026

Unsupervised SE(3) Disentanglement for in situ Macromolecular Morphology Identification from Cryo-Electron Tomography.

[BibT_eX]

[DOI]

CoRR, January, 2026

Prompt-based Adaptation in Large-scale Vision Models: A Survey.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2026

Adaptive knowledge transferring with switching dual-student framework for semi-supervised medical image segmentation.

[BibT_eX]

[DOI]

Pattern Recognit., 2026

From Specialist to Generalist: Unlocking Sam's Learning Potential on Unlabeled Medical Images.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Handling Supervision Scarcity in Chest X-Ray Classification: Long-Tailed and Zero-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Exploring Intrinsic Hierarchical Organization for Medical Diagnosis.

[BibT_eX]

[DOI]

Chengzhi Cao

Min Xu

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

DiLO: Disentangled Latent Optimization for Learning Shape and Deformation in Grouped Deforming 3D Objects.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Modality-Specific Enhancement and Complementary Fusion for Semi-Supervised Multi-Modal Brain Tumor Segmentation.

[BibT_eX]

[DOI]

CoRR, December, 2025

Pro-NeXt: An All-in-One Unified Model for General Fine-Grained Visual Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., October, 2025

Aligning What You Separate: Denoised Patch Mixing for Source-Free Domain Adaptation in Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, October, 2025

Adaptive Knowledge Transferring with Switching Dual-Student Framework for Semi-Supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, October, 2025

TextCAM: Explaining Class Activation Map with Text.

[BibT_eX]

[DOI]

CoRR, October, 2025

Towards Foundation Models for Cryo-ET Subtomogram Analysis.

[BibT_eX]

[DOI]

CoRR, September, 2025

Semi-MoE: Mixture-of-Experts meets Semi-Supervised Histopathology Segmentation.

[BibT_eX]

[DOI]

CoRR, September, 2025

MASIV: Toward Material-Agnostic System Identification from Videos.

[BibT_eX]

[DOI]

CoRR, August, 2025

Aligning Proteins and Language: A Foundation Model for Protein Retrieval.

[BibT_eX]

[DOI]

CoRR, June, 2025

CryoCCD: Conditional Cycle-consistent Diffusion with Biophysical Modeling for Cryo-EM Synthesis.

[BibT_eX]

[DOI]

CoRR, May, 2025

SaSi: A Self-augmented and Self-interpreted Deep Learning Approach for Few-shot Cryo-ET Particle Detection.

[BibT_eX]

[DOI]

Gokul Adethya T

Bhanu Pratyush Mantha

Tianyang Wang

Xingjian Li

Min Xu

CoRR, May, 2025

AutoMiSeg: Automatic Medical Image Segmentation via Test-Time Adaptation of Foundation Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

Describe Anything in Medical Images.

[BibT_eX]

[DOI]

CoRR, May, 2025

Visual Variational Autoencoder Prompt Tuning.

[BibT_eX]

[DOI]

CoRR, March, 2025

Towards molecular structure discovery from cryo-ET density volumes via modelling auxiliary semantic prototypes.

[BibT_eX]

[DOI]

Ashwin R. Nair

Xingjian Li

Bhupendra Solanki

Souradeep Mukhopadhyay

Briefings Bioinform., January, 2025

MVGFormer: Multi-view perspective with graph-guided transformer for cryo-ET segmentation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2025

Deep video anomaly detection in automated laboratory setting.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2025

DuetMatch: Harmonizing semi-supervised brain MRI segmentation via decoupled branch optimization.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2025

Localization of macromolecules in crowded cellular cryo-electron tomograms from extremely sparse labels.

[BibT_eX]

[DOI]

Briefings Bioinform., 2025

CryoMAE: Few-Shot Cryo-EM Particle Picking with Masked Autoencoders.

[BibT_eX]

[DOI]

Chentianye Xu

Xueying Zhan

Min Xu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

J-Invariant Volume Shuffle for Self-Supervised Cryo-Electron Tomogram Denoising on Single Noisy Volume.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Visual Instance-aware Prompt Tuning.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Fetal-BCP: Addressing Empirical Distribution Gap in Semi-Supervised Fetal Ultrasound Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Total-Editing: Head Avatar with Editable Appearance, Motion, and Lighting.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Toward Material-Agnostic System Identification From Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Describe Anything Model for Visual Question Answering on Text-Rich Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Unsupervised Identification of Protein Compositions and Conformations Via Implicit Content-Transformation Disentanglement.

[BibT_eX]

[DOI]

Mostofa Rafid Uddin

Jana Armouti

Min Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

TD-RD: A Top-Down Benchmark with Real-Time Framework for Road Damage Detection.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Multimodal Generalized Category Discovery.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

DiffCAM: Data-Driven Saliency Maps by Capturing Feature Differences.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

BOE-ViT: Boosting Orientation Estimation with Equivariance in Self-Supervised 3D Subtomogram Alignment.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Medical Graph RAG: Evidence-based Medical Large Language Model via Graph Retrieval-Augmented Generation.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

AAAI Bridge Program 2025: AI for Medicine and Healthcare.

[BibT_eX]

[DOI]

Proceedings of the AAAI Bridge Program on AI for Medicine and Healthcare, 2025

Semi-Supervised Histopathology Image Segmentation with Feature Diversified Collaborative Learning.

[BibT_eX]

[DOI]

Proceedings of the AAAI Bridge Program on AI for Medicine and Healthcare, 2025

Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting.

[BibT_eX]

[DOI]

Medical Image Anal., February, 2024

Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical Image Segmentation.

[BibT_eX]

[DOI]

Muhammad Hamza Sharif

CoRR, 2024

Training-free CryoET Tomogram Segmentation.

[BibT_eX]

[DOI]

CoRR, 2024

Improving Knowledge Distillation in Transfer Learning with Layer-wise Learning Rates.

[BibT_eX]

[DOI]

Shirley Kokane

Mostofa Rafid Uddin

Min Xu

CoRR, 2024

DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization.

[BibT_eX]

[DOI]

Mostofa Rafid Uddin

Min Xu

CoRR, 2024

Uncertainty-Aware Adapter: Adapting Segment Anything Model (SAM) for Ambiguous Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2024

Not just Birds and Cars: Generic, Scalable and Explainable Models for Professional Visual Recognition.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Knowledge transfer from macro-world to micro-world: enhancing 3D Cryo-ET classification through fine-tuning video-based deep models.

[BibT_eX]

[DOI]

Sabhay Jain

Xingjian Li

Min Xu

Bioinform., 2024

Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

Yixing Lu

Zhaoxin Fan

Min Xu

Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

CryoSAM: Training-Free CryoET Tomogram Segmentation with Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

MDSN: Multi-stage Context-Aware Nuclei Detection-Segmentation Network.

[BibT_eX]

[DOI]

Hussam Azzuni

Abdulmotaleb El Saddik

Mohammad Yaqub

Min Xu

Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2024

HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affinity Prediction.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 31st International Conference, 2024

Synergistic Global-Space Camera and Human Reconstruction from Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MedSegDiff-V2: Diffusion-Based Medical Image Segmentation with Transformer.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Deep Active Learning with Noise Stability.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2023

DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.

[BibT_eX]

[DOI]

Josef Lorenz Rumberger

Angelica I. Avilés-Rivero

Carola-Bibiane Schönlieb

Raja Muhammad Saad Bashir

CoRR, 2023

2022

Venus: An efficient virus infection detection and fusion site discovery method using single-cell and bulk RNA-seq data.

[BibT_eX]

[DOI]

PLoS Comput. Biol., October, 2022

Macromolecules Structural Classification With a 3D Dilated Dense Network in Cryo-Electron Tomography.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Structure Detection in Three-Dimensional Cellular Cryoelectron Tomograms by Reconstructing Two-Dimensional Annotated Tilt Series.

[BibT_eX]

[DOI]

J. Comput. Biol., 2022

Deep Active Learning with Noise Stability.

[BibT_eX]

[DOI]

CoRR, 2022

Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification.

[BibT_eX]

[DOI]

CoRR, 2022

Cryo-shift: reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization.

[BibT_eX]

[DOI]

Hmrishav Bandyopadhyay

Bioinform., 2022

Towards robust partially supervised multi-structure medical image segmentation on small-scale data.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2022

Deep-Precognitive Diagnosis: Preventing Future Pandemics by Novel Disease Detection With Biologically-Inspired Conv-Fuzzy Network.

[BibT_eX]

[DOI]

IEEE Access, 2022

Prolificacy Assessment of Spermatozoan via State-of-the-Art Deep Learning Frameworks.

[BibT_eX]

[DOI]

Satish Chandra

Mahendra Kumar Gourisaria

IEEE Access, 2022

Unsupervised Multi-Task Learning for 3D Subtomogram Image Alignment, Clustering and Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Deep Active Learning for Cryo-Electron Tomography Classification.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Harmony: A Generic Unsupervised Approach for Disentangling Semantic Content from Parameterized Transformations.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

TransResNet: Integrating the Strengths of ViTs and CNNs for High Resolution Medical Image Segmentation via Feature Grafting.

[BibT_eX]

[DOI]

Muhammad Hamza Sharif

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Boosting Active Learning via Improving Test Performance.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Disentangling semantic features of macromolecules in Cryo-Electron Tomography.

[BibT_eX]

[DOI]

CoRR, 2021

Few shot domain adaptation for in situ macromolecule structural classification in cryoelectron tomograms.

[BibT_eX]

[DOI]

Bioinform., 2021

Active learning to classify macromolecular structures in situ for less supervision in cryo-electron tomography.

[BibT_eX]

[DOI]

Bioinform., 2021

DECODE: a Deep-learning framework for Condensing enhancers and refining boundaries with large-scale functional assays.

[BibT_eX]

[DOI]

Bioinform., 2021

SCAN-ATAC-Sim: a scalable and efficient method for simulating single-cell ATAC-seq data from bulk-tissue experiments.

[BibT_eX]

[DOI]

Bioinform., 2021

Unsupervised Domain Alignment Based Open Set Structural Recognition of Macromolecules Captured By Cryo-Electron Tomography.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

End-to-end robust joint unsupervised image alignment and clustering.

[BibT_eX]

[DOI]

Xiangrui Zeng

Gregory Howe

Min Xu

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.

[BibT_eX]

[DOI]

Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021

SHREC 2021: Classification in Cryo-electron Tomograms.

[BibT_eX]

[DOI]

Proceedings of the 14th Eurographics Workshop on 3D Object Retrieval, 2021

2020

Poly(A)-DG: A deep-learning-based domain generalization method to identify cross-species Poly(A) signal without prior knowledge from target species.

[BibT_eX]

[DOI]

PLoS Comput. Biol., November, 2020

AttPNet: Attention-Based Deep Neural Network for 3D Point Set Analysis.

[BibT_eX]

[DOI]

Sensors, 2020

A simulated annealing approach for resolution guided homogeneous cryo-electron microscopy image selection.

[BibT_eX]

[DOI]

Quant. Biol., 2020

Few-shot learning for classification of novel macromolecular structures in cryo-electron tomograms.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2020

Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels.

[BibT_eX]

[DOI]

CoRR, 2020

Few shot domain adaptation for in situ macromolecule structural classification in cryo-electron tomograms.

[BibT_eX]

[DOI]

CoRR, 2020

SHREC 2020: Classification in cryo-electron tomograms.

[BibT_eX]

[DOI]

Comput. Graph., 2020

Spark-based parallel calculation of 3D fourier shell correlation for macromolecule structure local resolution estimation.

[BibT_eX]

[DOI]

BMC Bioinform., 2020

A unified framework for packing deformable and non-deformable subcellular structures in crowded cryo-electron tomogram simulation.

[BibT_eX]

[DOI]

BMC Bioinform., 2020

PUB-SalNet: A Pre-Trained Unsupervised Self-Aware Backpropagation Network for Biomedical Salient Segmentation.

[BibT_eX]

[DOI]

Algorithms, 2020

Dilated-DenseNet for Macromolecule Classification in Cryo-electron Tomography.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Xiangrui Zeng

Min Xu

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.

[BibT_eX]

[DOI]

Mohan Vamsi Nallapareddy

Ajinkya Chaudhari

Min Xu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

AITom: Open-source AI platform for cryo-electron Tomography data analysis.

[BibT_eX]

[DOI]

Xiangrui Zeng

Min Xu

CoRR, 2019

Learn to segment single cells with deep distance estimator and deep cell detector.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2019

Fine-grained alignment of cryo-electron subtomograms based on MPI parallel optimization.

[BibT_eX]

[DOI]

BMC Bioinform., 2019

Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN.

[BibT_eX]

[DOI]

BMC Bioinform., 2019

Adversarial domain adaptation for cross data source macromolecule in situ structural classification in cellular electron cryo-tomograms.

[BibT_eX]

[DOI]

Bioinform., 2019

A joint method for marker-free alignment of tilt series in electron tomography.

[BibT_eX]

[DOI]

Bioinform., 2019

Neural Architecture Search for Adversarial Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Ellipse Detection of Optic Disc-and-Cup Boundary in Fundus Images.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Improving Lesion Segmentation for Diabetic Retinopathy Using Adversarial Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 30th British Machine Vision Conference 2019, 2019

Regularized Adversarial Training (RAT) for Robust Cellular Electron Cryo Tomograms Classification.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Domain Randomization for Macromolecule Structure Classification and Segmentation in Electron Cyro-tomograms.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Classification in Cryo-Electron Tomograms.

[BibT_eX]

[DOI]

Proceedings of the 12th Eurographics Workshop on 3D Object Retrieval, 2019

2018

Improved deep learning-based macromolecules structure classification from electron cryo-tomograms.

[BibT_eX]

[DOI]

Mach. Vis. Appl., 2018

Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms.

[BibT_eX]

[DOI]

CoRR, 2018

An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classification.

[BibT_eX]

[DOI]

Bioinform., 2018

Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Deep Learning Based Supervised Semantic Segmentation of Electron Cryo-Subtomograms.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2018, 2018

Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2018, 2018

Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Xiangrui Zeng

Miguel Ricardo Leung

Tzviya Zeev-Ben-Mordehai

Min Xu

CoRR, 2017

Deep learning-based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms.

[BibT_eX]

[DOI]

Tzviya Zeev-Ben-Mordehai

Eric P. Xing

Bioinform., 2017

2016

Simulating cryo electron tomograms of crowded cell cytoplasm for assessment of automated particle picking.

[BibT_eX]

[DOI]

BMC Bioinform., 2016

2013

Automated target segmentation and real space fast alignment methods for high-throughput classification and averaging of crowded cryo-electron subtomograms.

[BibT_eX]

[DOI]

Min Xu

Frank Alber

Bioinform., 2013

2012

High precision alignment of cryo-electron subtomograms through gradient-based parallel optimization.

[BibT_eX]

[DOI]

Min Xu

Frank Alber

BMC Syst. Biol., 2012