Gillian Lovell

According to our database, Gillian Lovell authored at least 5 papers between 2023 and 2024.

Collaborative distances:

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

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