Nabeel Khalid

According to our database, Nabeel Khalid authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

YeastFormer: An End-to-End Instance Segmentation Approach for Yeast Cells in Microstructure Environment.

Khola Naseem, Nabeel Khalid, Lea Bertgen, Johannes M. Herrmann, Andreas Dengel, Sheraz Ahmed

Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

SAT: Segment and Track Anything for Microscopy.

Nabeel Khalid, Mohammadmahdi Koochali, Khola Naseem, Maria Caroprese, Gillian Lovell, Daniel A. Porto, Johan Trygg, Andreas Dengel, Sheraz Ahmed

Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

2024

CellGenie: An End-to-End Pipeline for Synthetic Cellular Data Generation and Segmentation: A Use Case for Cell Segmentation in Microscopic Images.

Nabeel Khalid, Mohammadmahdi Koochali, Duway Nicolas Lesmes-Leon, Maria Caroprese, Gillian Lovell, Daniel A. Porto, Johan Trygg, Andreas Dengel, Sheraz Ahmed

Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024

Bounding Box Is All You Need: Learning to Segment Cells in 2D Microscopic Images via Box Annotations.

Nabeel Khalid, Maria Caroprese, Gillian Lovell, Daniel A. Porto, Johan Trygg, Andreas Dengel, Sheraz Ahmed

Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024

CellSpot: Deep Learning-Based Efficient Cell Center Detection in Microscopic Images.

Nabeel Khalid, Maria Caroprese, Gillian Lovell, Johan Trygg, Andreas Dengel, Sheraz Ahmed

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

PACE: Point Annotation-Based Cell Segmentation for Efficient Microscopic Image Analysis.

Nabeel Khalid, Tiago Comassetto Fróes, Maria Caroprese, Gillian Lovell, Johan Trygg, Andreas Dengel, Sheraz Ahmed

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

Point2Mask: A Weakly Supervised Approach for Cell Segmentation Using Point Annotation.

Nabeel Khalid, Fabian Schmeisser, Mohammadmahdi Koochali, Mohsin Munir, Christoffer Edlund, Timothy R. Jackson, Johan Trygg, Rickard Sjögren, Andreas Dengel, Sheraz Ahmed

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

DeepMuCS: A Framework for Co-culture Microscopic Image Analysis: From Generation to Segmentation.

Nabeel Khalid, Mohammadmahdi Koochali, Vikas Rajashekar, Mohsin Munir, Christoffer Edlund, Timothy R. Jackson, Johan Trygg, Rickard Sjögren, Andreas Dengel, Sheraz Ahmed

Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021

DeepCeNS: An end-to-end Pipeline for Cell and Nucleus Segmentation in Microscopic Images.

Nabeel Khalid, Mohsin Munir, Christoffer Edlund, Timothy R. Jackson, Johan Trygg, Rickard Sjögren, Andreas Dengel, Sheraz Ahmed

Proceedings of the International Joint Conference on Neural Networks, 2021

DeepCIS: An end-to-end Pipeline for Cell-type aware Instance Segmentation in Microscopic Images.

Nabeel Khalid, Mohsin Munir, Christoffer Edlund, Timothy R. Jackson, Johan Trygg, Rickard Sjögren, Andreas Dengel, Sheraz Ahmed

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021