Min Xu

Min Xu

Carnegie Mellon University

H-index: 25

North America-United States

About Min Xu

Min Xu, With an exceptional h-index of 25 and a recent h-index of 19 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Computational Biology, Computer Vision, Machine Learning, Pattern Recognition, Electron Microscopy.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

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

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

Deep active learning with noise stability

The Advance of Computational Methods in Cryo-Electron Tomography

DUAL: deep unsupervised simultaneous simulation and denoising for cryo-electron tomography

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

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

Min Xu Information

University

Position

___

Citations(all)

2410

Citations(since 2020)

1198

Cited By

1665

hIndex(all)

25

hIndex(since 2020)

19

i10Index(all)

44

i10Index(since 2020)

34

Email

University Profile Page

Carnegie Mellon University

Google Scholar

View Google Scholar Profile

Min Xu Skills & Research Interests

Computational Biology

Computer Vision

Machine Learning

Pattern Recognition

Electron Microscopy

Top articles of Min Xu

Title

Journal

Author(s)

Publication Date

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

arXiv preprint arXiv:2403.02566

Zhaoxin Fan

Runmin Jiang

Junhao Wu

Xin Huang

Tianyang Wang

...

2024/3/5

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

Yixing Lu

Zhaoxin Fan

Min Xu

2024/1/28

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

arXiv preprint arXiv:2404.10178

Chentianye Xu

Xueying Zhan

Min Xu

2024/4/15

Deep active learning with noise stability

arXiv preprint arXiv:2205.13340

Xingjian Li

Pengkun Yang

Tianyang Wang

Xueying Zhan

Min Xu

...

2022/5/26

The Advance of Computational Methods in Cryo-Electron Tomography

Renmin Han

Min Xu

2024

DUAL: deep unsupervised simultaneous simulation and denoising for cryo-electron tomography

bioRxiv

Xiangrui Zeng

Yizhe Ding

Yueqian Zhang

Mostofa Uddin

Ali Dabouei

...

2024

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

arXiv preprint arXiv:2403.10931

Mingzhou Jiang

Jiaying Zhou

Junde Wu

Tianyang Wang

Yueming Jin

...

2024/3/16

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

arXiv preprint arXiv:2403.05703

Junde Wu

Jiayuan Zhu

Min Xu

Yueming Jin

2024/3/8

Nanoscale details of mitochondrial constriction revealed by cryoelectron tomography

Biophysical Journal

Shrawan Kumar Mageswaran

Danielle Ann Grotjahn

Xiangrui Zeng

Benjamin Asher Barad

Michaela Medina

...

2023/9/19

Computational methods toward unbiased pattern mining and structure determination in cryo-electron tomography data

Hannah Hyun-Sook Kim

Mostofa Rafid Uddin

Min Xu

Yi-Wei Chang

2023/3/31

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

arXiv preprint arXiv:2307.09604

Zhaoxin Fan

Puquan Pan

Zeren Zhang

Ce Chen

Tianyang Wang

...

2023/7/13

2DiNTS: 2D Differentiable Neural Network Topology Search for Multi-Modal Cell Segmentation

Hussam Azzuni

Muhammad Hamza Sharif

Naveed Syed

Mohammad Yaqub

Min Xu

2023/3/10

Detecting anomalies from liquid transfer videos in automated laboratory setting

Frontiers in Molecular Biosciences

Najibul Haque Sarker

Zaber Abdul Hakim

Ali Dabouei

Mostofa Rafid Uddin

Zachary Freyberg

...

2023/5/4

Medsegdiff-v2: Diffusion based medical image segmentation with transformer

Proceedings of the AAAI Conference on Artificial Intelligence

Junde Wu

Wei Ji

Huazhu Fu

Min Xu

Yueming Jin

...

2024/3/24

Medical sam adapter: Adapting segment anything model for medical image segmentation

Junde Wu

Wei Ji

Yuanpei Liu

Huazhu Fu

Min Xu

...

2023/12

Leveraging Generative Language Models for Weakly Supervised Sentence Component Analysis in Video-Language Joint Learning

arXiv preprint arXiv:2312.06699

Zaber Ibn Abdul Hakim

Najibul Haque Sarker

Rahul Pratap Singh

Bishmoy Paul

Ali Dabouei

...

2023/12/10

High-throughput cryo-ET structural pattern mining by unsupervised deep iterative subtomogram clustering

Proceedings of the National Academy of Sciences

Xiangrui Zeng

Anson Kahng

Liang Xue

Julia Mahamid

Yi-Wei Chang

...

2023/4/11

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

Haoyi Zhu

Chuting Wang

Yuanxin Wang

Zhaoxin Fan

Mostofa Rafid Uddin

...

2022/10/16

Color space-based hover-net for nuclei instance segmentation and classification

Hussam Azzuni

Muhammad Ridzuan

Min Xu

Mohammad Yaqub

2022/3/28

Self-supervised learning for macromolecular structure classification based on cryo-electron tomograms

Frontiers in Physiology

Tarun Gupta

Xuehai He

Mostofa Rafid Uddin

Xiangrui Zeng

Andrew Zhou

...

2022/8/30

See List of Professors in Min Xu University(Carnegie Mellon University)

Co-Authors

H-index: 114
Eric Xing

Eric Xing

Carnegie Mellon University

H-index: 75
Xiaodan Liang

Xiaodan Liang

Sun Yat-Sen University

H-index: 72
Xifeng Yan

Xifeng Yan

University of California, Santa Barbara

H-index: 61
Fengzhu Sun

Fengzhu Sun

University of Southern California

H-index: 54
Maya Topf

Maya Topf

Birkbeck, University of London

H-index: 44
Rudy Setiono

Rudy Setiono

National University of Singapore

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