Search Results - "Uddin, Mostofa Rafid"
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Self-supervised learning for macromolecular structure classification based on cryo-electron tomograms
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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Detecting anomalies from liquid transfer videos in automated laboratory setting
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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Harmony: A Generic Unsupervised Approach for Disentangling Semantic Content from Parameterized Transformations
Published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2022)“…In many real-life image analysis applications, particularly in biomedical research domains, the objects of interest undergo multiple transformations that…”
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4
SAINT: self-attention augmented inception-inside-inception network improves protein secondary structure prediction
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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Computational Methods Toward Unbiased Pattern Mining and Structure Determination in Cryo-Electron Tomography Data
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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Cryo-shift: reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization
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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Deep Active Learning for Cryo-Electron Tomography Classification
Published in 2022 IEEE International Conference on Image Processing (ICIP) (01-10-2022)“…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 -
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Structure Detection in Three-Dimensional Cellular Cryoelectron Tomograms by Reconstructing Two-Dimensional Annotated Tilt Series
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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Unsupervised Multi-Task Learning for 3D Subtomogram Image Alignment, Clustering and Segmentation
Published in 2022 IEEE International Conference on Image Processing (ICIP) (16-10-2022)“…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 -
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Practical Analysis of Macromolecule Identity from Cryo-electron Tomography Images using Deep Learning
Published in 2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR) (12-10-2021)“…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 -
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Immune landscape in invasive ductal and lobular breast cancer reveals a divergent macrophage-driven microenvironment
Published in Nature cancer (01-04-2023)“…T cell-centric immunotherapies have shown modest clinical benefit thus far for estrogen receptor-positive (ER ) breast cancer. Despite accounting for 70% of…”
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DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization
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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Immune landscape in estrogen receptor positive breast cancer reveals a divergent macrophage-driven microenvironment
Published in Nature cancer (16-03-2023)“…T-cell centric immunotherapies have shown modest clinical benefit thus far for estrogen receptor positive (ER+) breast cancer, which account for 70% of all…”
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Publisher Correction: Immune landscape in invasive ductal and lobular breast cancer reveals a divergent macrophage-driven microenvironment
Published in Nature cancer (01-04-2023)Get full text
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15
Improving Knowledge Distillation in Transfer Learning with Layer-wise Learning Rates
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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Cryo-shift: Reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization
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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