61 citations · 111 across the 22 of their papers we have counts for
7 papers · 1 filter
cRedAnno+: Annotation Exploitation in Self-Explanatory Lung Nodule Diagnosis
Jiahao Lu, Chong Yin, Kenny Erleben +2
Recently, attempts have been made to reduce annotation requirements in feature-based self-explanatory models for lung nodule diagnosis. As a representative, cRedAnno achieves compe…
Open-Full-Jaw: An open-access dataset and pipeline for finite element models of human jaw
Torkan Gholamalizadeh, Faezeh Moshfeghifar, Zachary Ferguson +7
Developing computational models of the human jaw acquired from cone-beam computed tomography (CBCT) scans is time-consuming and labor-intensive. Besides, a quantitative comparison…
Auto-segmentation of Hip Joints using MultiPlanar UNet with Transfer learning
Peidi Xu, Faezeh Moshfeghifar, Torkan Gholamalizadeh +3
Accurate geometry representation is essential in developing finite element models. Although generally good, deep-learning segmentation approaches with only few data have difficulti…
Reducing Annotation Need in Self-Explanatory Models for Lung Nodule Diagnosis
Jiahao Lu, Chong Yin, Oswin Krause +3
Feature-based self-explanatory methods explain their classification in terms of human-understandable features. In the medical imaging community, this semantic matching of clinical…
A multi-patient analysis of the center of rotation trajectories using finite element models of the human mandible
Torkan Gholamalizadeh, Sune Darkner, Peter Lempel Søndergaard +1
Studying different types of tooth movements can help us to better understand the force systems used for tooth position correction in orthodontic treatments. This study considers a…
Revisiting Transformer-based Models for Long Document Classification
Xiang Dai, Ilias Chalkidis, Sune Darkner +1
The recent literature in text classification is biased towards short text sequences (e.g., sentences or paragraphs). In real-world applications, multi-page multi-paragraph document…