Manish Chowdhury

Employment

• Siemens (Germany) Senior Solution Architect
  2026 - Present
• Siemens Healthineers Senior Research Specialist
  2021 - 2023
• Siemens Corp Corporate Research Lead Researcher
  2019 - 2021
• Karvy Senior Data Scientist
  2019 - 2019
• Oxford Brookes University Research fellow
  2018 - 2019
• Accenture Researcher
  2017 - 2018
• KTH Royal Institute of Technology

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (27)

• Real‐Time Polyp Detection Using an Enhanced YOLOv12 Framework With Adaptive Feature Routing and Auxiliary Self‐Distillation
  International Journal of Imaging Systems and Technology 2026 DOI: 10.1002/ima.70442
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• IHC-Net: A fully convolutional neural network for automated nuclear segmentation and ensemble classification for Allred scoring in breast pathology
  Applied Soft Computing 2021 DOI: 10.1016/j.asoc.2021.107136
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• A shape context fully convolutional neural network for segmentation and classification of cervical nuclei in Pap smear images
  Artificial Intelligence in Medicine 2020 DOI: 10.1016/j.artmed.2020.101897
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• Global Exponential Stability of Non-autonomous Cellular Neural Network Model with Time Varying Delays
  Springer Proceedings in Mathematics and Statistics 2020 DOI: 10.1007/978-981-15-0422-8_17
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• Global O(t-α) Synchronization of Fractional-Order Non-autonomous Neural Network Model with Time Delays Through Centralized Data-Sampling Approach
  Mediterranean Journal of Mathematics 2020 DOI: 10.1007/s00009-019-1432-9
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• Automatic brain segmentation using artificial neural networks with shape context
  Pattern Recognition Letters 2018 DOI: 10.1016/j.patrec.2017.11.016
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• Video shot boundary detection using multiscale geometric analysis of nsct and least squares support vector machine
  Multimedia Tools and Applications 2018 DOI: 10.1007/s11042-017-4707-9
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• Automated classification of Pap smear images to detect cervical dysplasia
  Computer Methods and Programs in Biomedicine 2017 DOI: 10.1016/j.cmpb.2016.10.001
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• Erratum to: Comparative assessment of efficiency for content based image retrieval systems using different wavelet features and pre-classifier (Multimedia Tools and Applications, (2015), 74, 24, (11595-11630), 10.1007/s11042-014-2252-3)
  Multimedia Tools and Applications 2017 DOI: 10.1007/s11042-016-4172-x
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• Granulometry-based trabecular bone segmentation
  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2017 DOI: 10.1007/978-3-319-59129-2_9
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