Nabeel Khalid

German Research Centre for Artificial Intelligence — Germany

Biochemistry, Genetics and Molecular Biology · Life Sciences

8h-index606citations30works19.92yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

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Research Topics

Cell Image Analysis Techniques(21), Image Processing Techniques and Applications(13), Digital Imaging for Blood Diseases(8), AI in cancer detection(6), Medical Image Segmentation Techniques(4)

Publications30 total

Author Correction: Segment Anything for Microscopy
Nature Methods·2025· 3 citedOpen Access
Segment Anything for Microscopy
Nature Methods·2025· 133 citedOpen Access
SAT: Segment and Track Anything for Microscopy
2025· 1 citedOpen Access
YeastFormer: An End-to-End Instance Segmentation Approach for Yeast Cells in Microstructure Environment
2025Open Access
CellSpot: Deep Learning-Based Efficient Cell Center Detection in Microscopic Images
Lecture notes in computer science·2024· 1 cited
CellGenie: An End-to-End Pipeline for Synthetic Cellular Data Generation and Segmentation: A Use Case for Cell Segmentation in Microscopic Images
Lecture notes in computer science·2024
Bounding Box Is All You Need: Learning to Segment Cells in 2D Microscopic Images via Box Annotations
Lecture notes in computer science·2024· 1 cited
Point2Mask: A Weakly Supervised Approach for Cell Segmentation Using Point Annotation
2023Open Access
Point2Mask: A Weakly Supervised Approach for Cell Segmentation Using Point Annotation
2023· 2 citedOpen Access
LIVECell—A large-scale dataset for label-free live cell segmentation
2023Open Access
LIVECell—A large-scale dataset for label-free live cell segmentation
2023· 1 citedOpen Access
PACE: Point Annotation-Based Cell Segmentation for Efficient Microscopic Image Analysis
2023· 1 citedOpen Access
PACE: Point Annotation-Based Cell Segmentation for Efficient Microscopic Image Analysis
2023· 1 citedOpen Access
Segment Anything for Microscopy
2023· 63 citedOpen Access
PACE: Point Annotation-Based Cell Segmentation for Efficient Microscopic Image Analysis
Lecture notes in computer science·2023· 8 cited
DeepMuCS: A Framework for Co-culture Microscopic Image Analysis: From Generation to Segmentation
2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)·2022· 8 cited
DeepMuCS: A Framework for Mono- & Co-culture Microscopic Image Analysis: From Generation to Segmentation
2022· 1 citedOpen Access
DeepMuCS: A Framework for Mono- & Co-culture Microscopic Image Analysis: From Generation to Segmentation
2022Open Access
The relationship between perceived training and development and employee retention: The mediating role of work attitudes and the moderating role of organizational support
Journal of Public Value and Administrative Insight·2022· 2 citedOpen Access
Point2Mask: A Weakly Supervised Approach for Cell Segmentation Using Point Annotation
Lecture notes in computer science·2022· 11 cited
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Frequent Co-authors

Sheraz Ahmed(18), Andreas Dengel(17), Johan Trygg(16), Christoffer Edlund(11), Rickard Sjögren(11), Timothy R. Jackson(10), Mohsin Munir(6), Mohammadmahdi Koochali(6), Nicola Bevan(5), Timothy Dale(5), Maria Caroprese(5), Gillian Lovell(5), Vikas Rajashekar(4), Anwai Archit(3), Sushmita Nair(3), Paul Hilt(3), Marei Freitag(3), Sagnik Gupta(3), Constantin Pape(3), Johannes M. Herrmann(3)