Gillian Lovell

According to our database, Gillian Lovell authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

2025

How to Box Your Cells: An Introduction to Box Supervision for 2.5D Cell Instance Segmentation and a Study of Applications.

Fabian Schmeisser, Maria Caroprese, Gillian Lovell, Andreas Dengel, Sheraz Ahmed

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

Synthesizing Annotated Cell Microscopy Images with Generative Adversarial Networks.

Duway Nicolas Lesmes-Leon, Miro Miranda, Maria Caroprese, Gillian Lovell, 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

A Line Is All You Need: Weak Supervision for 2.5D Cell Segmentation.

Fabian Schmeisser, Céline Thomann, Emma Petiot, Gillian Lovell, Maria Caroprese, Andreas Dengel, Sheraz Ahmed

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