4 citations · 9 across the 10 of their papers we have counts for
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Leveraging Transfer Learning with Class-Specific Decoders for Laparoscopic Segmentation
Priya Tomar, Aditya Parikh, Christian Bauckhage +1
Effective multi-organ segmentation in surgical data requires learning the intricate anatomical features and alleviating the challenge of class imbalance, which results from relativ…
First Investigation of Deep Learning for Intraoperative Gauze Segmentation in Minimally Invasive Abdominal Surgery
Priya Tomar, Maximilian Broß, Philipp Feodorovici +7
Surgical gauze is an essential part of surgical procedures, primarily used for controlling bleeding and absorbing bodily fluids. The post-surgical retention of gauze can lead to se…
Model-agnostic Body Part Relevance Assessment for Pedestrian Detection
Maurice Günder, Sneha Banerjee, Rafet Sifa +1
Model-agnostic explanation methods for deep learning models are flexible regarding usability and availability. However, due to the fact that they can only manipulate input to see c…
SugarViT -- Multi-objective Regression of UAV Images with Vision Transformers and Deep Label Distribution Learning Demonstrated on Disease Severity Prediction in Sugar Beet
Maurice Günder, Facundo Ramón Ispizua Yamati, Abel Andree Barreto Alcántara +3
Remote sensing and artificial intelligence are pivotal technologies of precision agriculture nowadays. The efficient retrieval of large-scale field imagery combined with machine le…