Martin Grønnebæk Tolsgaard

27 papers Journal 16Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Clinical needs and preferences for AI-based explanations in clinical simulation training. Behav. Inf. Technol. Naja Kathrine Kollerup, Stine S. Johansen, Martin Grønnebæk Tolsgaard, Mikkel Lønborg Friis, Mikael B. Skov, Niels van Berkel
2025	—	`conf`	Determining Fetal Orientations From Blind Sweep Ultrasound Video. SCIA (2) Jakub Maciej Wisniewski, Anders Nymark Christensen, Mary Ngo, Martin Grønnebæk Tolsgaard, Chun Kit Wong
2025	J	`jnl`	Determining Fetal Orientations From Blind Sweep Ultrasound Video. CoRR Jakub Maciej Wisniewski, Anders Nymark Christensen, Mary Ngo, Martin Grønnebæk Tolsgaard, Chun Kit Wong
2025	—	`conf`	Diffusion-Based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment. ASMUS@MICCAI Paraskevas Pegios, Manxi Lin, Nina Weng, Morten Bo Søndergaard Svendsen, Zahra Bashir, Siavash Arjomand Bigdeli, Anders Nymark Christensen, Martin Grønnebæk Tolsgaard, Aasa Feragen
2025	—	`conf`	General Methods Make Great Domain-Specific Foundation Models: A Case-Study on Fetal Ultrasound. MICCAI (7) Jakob Ambsdorf, Asbjørn Munk, Sebastian Nørgaard Llambias, Anders Nymark Christensen, Kamil Wojciech Mikolaj, Randall Balestriero, Martin Grønnebæk Tolsgaard, Aasa Feragen, Mads Nielsen
2025	J	`jnl`	General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound. CoRR Jakob Ambsdorf, Asbjørn Munk, Sebastian Nørgaard Llambias, Anders Nymark Christensen, Kamil Wojciech Mikolaj, Randall Balestriero, Martin Grønnebæk Tolsgaard, Aasa Feragen, Mads Nielsen
2025	—	`conf`	Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound. MICCAI (7) Chun Kit Wong, Anders Nymark Christensen, Cosmin I. Bercea, Julia A. Schnabel, Martin Grønnebæk Tolsgaard, Aasa Feragen
2025	J	`jnl`	Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound. CoRR Chun Kit Wong, Anders Nymark Christensen, Cosmin I. Bercea, Julia A. Schnabel, Martin Grønnebæk Tolsgaard, Aasa Feragen
2025	J	`jnl`	Predicting abnormal fetal growth using deep learning. npj Digit. Medicine Kamil Wojciech Mikolaj, Anders Nymark Christensen, Caroline Taksøe-Vester, Aasa Feragen, Olav Bjørn Petersen, Manxi Lin, Mads Nielsen, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard
2025	—	`conf`	The Cervix in Context: Bias Assessment in Preterm Birth Prediction. FAIMI@MICCAI Joris Fournel, Paraskevas Pegios, Emilie Pi Fogtmann Sejer, Martin Grønnebæk Tolsgaard, Aasa Feragen
2025	J	`jnl`	Weight Space Correlation Analysis: Quantifying Feature Utilization in Deep Learning Models. CoRR Chun Kit Wong, Paraskevas Pegios, Nina Weng, Emilie Pi Fogtmann Sejer, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
2024	J	`jnl`	Deployment of Deep Learning Model in Real World Clinical Setting: A Case Study in Obstetric Ultrasound. CoRR Chun Kit Wong, Mary Ngo, Manxi Lin, Zahra Bashir, Amihai Heen, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
2024	J	`jnl`	Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment. CoRR Paraskevas Pegios, Manxi Lin, Nina Weng, Morten Bo Søndergaard Svendsen, Zahra Bashir, Siavash Arjomand Bigdeli, Anders Nymark Christensen, Martin Grønnebæk Tolsgaard, Aasa Feragen
2024	—	`conf`	Learning Semantic Image Quality for Fetal Ultrasound from Noisy Ranking Annotation. ISBI Manxi Lin, Jakob Ambsdorf, Emilie Pi Fogtmann Sejer, Zahra Bashir, Chun Kit Wong, Paraskevas Pegios, Alberto Raheli, Morten Bo Søndergaard Svendsen, Mads Nielsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
2024	J	`jnl`	Learning semantic image quality for fetal ultrasound from noisy ranking annotation. CoRR Manxi Lin, Jakob Ambsdorf, Emilie Pi Fogtmann Sejer, Zahra Bashir, Chun Kit Wong, Paraskevas Pegios, Alberto Raheli, Morten Bo Søndergaard Svendsen, Mads Nielsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
2024	—	`conf`	Shortcut Learning in Medical Image Segmentation. MICCAI (8) Manxi Lin, Nina Weng, Kamil Wojciech Mikolaj, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
2024	J	`jnl`	Shortcut Learning in Medical Image Segmentation. CoRR Manxi Lin, Nina Weng, Kamil Wojciech Mikolaj, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
2024	—	`conf`	Unsupervised Detection of Fetal Brain Anomalies Using Denoising Diffusion Models. ASMUS@MICCAI Markus Ditlev Sjøgren Olsen, Jakob Ambsdorf, Manxi Lin, Caroline Taksøe-Vester, Morten Bo Søndergaard Svendsen, Anders Nymark Christensen, Mads Nielsen, Martin Grønnebæk Tolsgaard, Aasa Feragen, Paraskevas Pegios
2024	J	`jnl`	Unsupervised Detection of Fetal Brain Anomalies using Denoising Diffusion Models. CoRR Markus Ditlev Sjøgren Olsen, Jakob Ambsdorf, Manxi Lin, Caroline Taksøe-Vester, Morten Bo Søndergaard Svendsen, Anders Nymark Christensen, Mads Nielsen, Martin Grønnebæk Tolsgaard, Aasa Feragen, Paraskevas Pegios
2023	—	`conf`	An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery. ASMUS@MICCAI Chun Kit Wong, Manxi Lin, Alberto Raheli, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Aasa Feragen, Anders Nymark Christensen
2023	J	`jnl`	An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery. CoRR Chun Kit Wong, Manxi Lin, Alberto Raheli, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Aasa Feragen, Anders Nymark Christensen
2023	—	`conf`	DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation. IPMI Manxi Lin, Kilian Zepf, Anders Nymark Christensen, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Aasa Feragen
2023	—	`conf`	Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction. ASMUS@MICCAI Paraskevas Pegios, Emilie Pi Fogtmann Sejer, Manxi Lin, Zahra Bashir, Morten Bo Søndergaard Svendsen, Mads Nielsen, Eike Petersen, Anders Nymark Christensen, Martin Grønnebæk Tolsgaard, Aasa Feragen
2023	J	`jnl`	Removing confounding information from fetal ultrasound images. CoRR Kamil Wojciech Mikolaj, Manxi Lin, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
2022	J	`jnl`	DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation. CoRR Manxi Lin, Zahra Bashir, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
2022	J	`jnl`	Generalisability of deep learning models in low-resource imaging settings: A fetal ultrasound study in 5 African countries. CoRR Carla Sendra-Balcells, Víctor M. Campello, Jordina Torrents-Barrena, Yahya Ali Ahmed, Mustafa A. Elattar, Benard Ohene Botwe, Pempho Nyangulu, William Stones, Mohammed Ammar, Lamya Nawal Benamer, Harriet Nalubega Kisembo, Senai Goitom Sereke, Sikolia Z. Wanyonyi, Marleen Temmerman, Kamil Wojciech Mikolaj, Martin Grønnebæk Tolsgaard, Karim Lekadir
2022	J	`jnl`	I saw, I conceived, I concluded: Progressive Concepts as Bottlenecks. CoRR Manxi Lin, Aasa Feragen, Zahra Bashir, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen