Search Results - "Uddin, Mostofa Rafid"

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  1. 1

    Self-supervised learning for macromolecular structure classification based on cryo-electron tomograms by Gupta, Tarun, He, Xuehai, Uddin, Mostofa Rafid, Zeng, Xiangrui, Zhou, Andrew, Zhang, Jing, Freyberg, Zachary, Xu, Min

    Published in Frontiers in physiology (30-08-2022)
    “…Macromolecular structure classification from cryo-electron tomography (cryo-ET) data is important for understanding macro-molecular dynamics. It has a wide…”
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    Journal Article
  2. 2

    Detecting anomalies from liquid transfer videos in automated laboratory setting by Sarker, Najibul Haque, Hakim, Zaber Abdul, Dabouei, Ali, Uddin, Mostofa Rafid, Freyberg, Zachary, MacWilliams, Andy, Kangas, Joshua, Xu, Min

    Published in Frontiers in molecular biosciences (04-05-2023)
    “…In this work, we address the problem of detecting anomalies in a certain laboratory automation setting. At first, we collect video images of liquid transfer in…”
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    Journal Article
  3. 3

    Harmony: A Generic Unsupervised Approach for Disentangling Semantic Content from Parameterized Transformations by Uddin, Mostofa Rafid, Howe, Gregory, Zeng, Xiangrui, Xu, Min

    “…In many real-life image analysis applications, particularly in biomedical research domains, the objects of interest undergo multiple transformations that…”
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    Conference Proceeding Journal Article
  4. 4

    SAINT: self-attention augmented inception-inside-inception network improves protein secondary structure prediction by Uddin, Mostofa Rafid, Mahbub, Sazan, Rahman, M Saifur, Bayzid, Md Shamsuzzoha

    Published in Bioinformatics (01-11-2020)
    “…Abstract Motivation Protein structures provide basic insight into how they can interact with other proteins, their functions and biological roles in an…”
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    Journal Article
  5. 5

    Computational Methods Toward Unbiased Pattern Mining and Structure Determination in Cryo-Electron Tomography Data by Kim, Hannah Hyun-Sook, Uddin, Mostofa Rafid, Xu, Min, Chang, Yi-Wei

    Published in Journal of molecular biology (01-05-2023)
    “…[Display omitted] •Cryo-ET reveals intracellular structures in situ and can form visual atlases to map the molecular sociology of a cell.•Analysis software…”
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    Journal Article
  6. 6

    Cryo-shift: reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization by Bandyopadhyay, Hmrishav, Deng, Zihao, Ding, Leiting, Liu, Sinuo, Uddin, Mostofa Rafid, Zeng, Xiangrui, Behpour, Sima, Xu, Min

    Published in Bioinformatics (27-01-2022)
    “…Abstract Motivation Cryo-Electron Tomography (cryo-ET) is a 3D imaging technology that enables the visualization of subcellular structures in situ at…”
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    Journal Article
  7. 7

    Deep Active Learning for Cryo-Electron Tomography Classification by Wang, Tianyang, Li, Bo, Zhang, Jing, Zeng, Xiangrui, Uddin, Mostofa Rafid, Wu, Wei, Xu, Min

    “…Cryo-Electron Tomography (cryo-ET) is an emerging 3D imaging technique which shows great potentials in structural biology research. One of the main challenges…”
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    Conference Proceeding Journal Article
  8. 8

    Structure Detection in Three-Dimensional Cellular Cryoelectron Tomograms by Reconstructing Two-Dimensional Annotated Tilt Series by Zeng, Xiangrui, Lin, Ziqian, Uddin, Mostofa Rafid, Zhou, Bo, Cheng, Chao, Zhang, Jing, Freyberg, Zachary, Xu, Min

    Published in Journal of computational biology (01-08-2022)
    “…The revolutionary technique cryoelectron tomography (cryo-ET) enables imaging of cellular structure and organization in a near-native environment at…”
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    Journal Article
  9. 9

    Unsupervised Multi-Task Learning for 3D Subtomogram Image Alignment, Clustering and Segmentation by Zhu, Haoyi, Wang, Chuting, Wang, Yuanxin, Fan, Zhaoxin, Uddin, Mostofa Rafid, Gao, Xin, Zhang, Jing, Zeng, Xiangrui, Xu, Min

    “…3D subtomogram image alignment, clustering, and segmentation are vital to macromolecular structure recognition in cryo-electron tomography (cryo-ET). However,…”
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    Conference Proceeding
  10. 10

    Practical Analysis of Macromolecule Identity from Cryo-electron Tomography Images using Deep Learning by Uddin, Mostofa Rafid, Ahmed, Ajmain Yasar, Khan, Kafi, Fatemi, Md Shahrar, Zeng, Xiangrui, Xu, Min

    “…Cellular electron cryo-tomography (cryo-ET) has made possible the systematic 3D visualization of the near-native structures and spatial-organizations of large…”
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    Conference Proceeding
  11. 11
  12. 12

    DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization by Uddin, Mostofa Rafid, Xu, Min

    Published 26-05-2024
    “…Unsupervised disentanglement of content and transformation has recently drawn much research, given their efficacy in solving downstream unsupervised tasks like…”
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    Journal Article
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    Improving Knowledge Distillation in Transfer Learning with Layer-wise Learning Rates by Kokane, Shirley, Uddin, Mostofa Rafid, Xu, Min

    Published 05-07-2024
    “…Transfer learning methods start performing poorly when the complexity of the learning task is increased. Most of these methods calculate the cumulative…”
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    Journal Article
  16. 16

    Cryo-shift: Reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization by Bandyopadhyay, Hmrishav, Deng, Zihao, Ding, Leiting, Liu, Sinuo, Uddin, Mostofa Rafid, Zeng, Xiangrui, Behpour, Sima, Xu, Min

    Published 17-11-2021
    “…Bioinformatics 2021 Cryo-Electron Tomography (cryo-ET) is a 3D imaging technology that enables the visualization of subcellular structures in situ at…”
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    Journal Article