12 citations · 36 across the 15 of their papers we have counts for
7 papers · 1 filter
Predicting Radiologist Expertise from 3D Gaze Patterns During CT Interpretation
Leila Khaertdinova, Anna Anikina, Claudia Mello-Thoms +1
Accurate interpretation of volumetric CT requires efficient navigation of 3D image volumes and attention to diagnostically relevant regions. While eye-tracking has been widely stud…
Visual Search Patterns in 3D Pancreatic Imaging: An Eye Tracking Study
Anna Anikina, Leila Khaertdinova, Trine Balschmidt +6
Eye tracking has emerged as a powerful tool for examining visual perception and search strategies in various domains, including medicine. While it is relatively straightforward to…
MedPruner: Training-Free Hierarchical Token Pruning for Efficient 3D Medical Image Understanding in Vision-Language Models
Shengyuan Liu, Zanting Ye, Yunrui Lin +6
While specialized Medical Vision-Language Models (VLMs) have achieved remarkable success in interpreting 2D and 3D medical modalities, their deployment for 3D volumetric data remai…
rNCA: Self-Repairing Segmentation Masks
Malte Silbernagel, Albert Alonso, Jens Petersen +3
Accurately predicting topologically correct masks remains a difficult task for general segmentation models, which often produce fragmented or disconnected outputs. Fixing these art…
Extremal Contours: Gradient-driven contours for compact visual attribution
Reza Karimzadeh, Albert Alonso, Frans Zdyb +2
Faithful yet compact explanations for vision models remain a challenge, as commonly used dense perturbation masks are often fragmented and overfitted, needing careful post-processi…
Gaze-Assisted Medical Image Segmentation
Leila Khaertdinova, Ilya Pershin, Tatiana Shmykova +1
The annotation of patient organs is a crucial part of various diagnostic and treatment procedures, such as radiotherapy planning. Manual annotation is extremely time-consuming, whi…
3DTeethSeg'22: 3D Teeth Scan Segmentation and Labeling Challenge
Achraf Ben-Hamadou, Oussama Smaoui, Ahmed Rekik +29
Teeth localization, segmentation, and labeling from intra-oral 3D scans are essential tasks in modern dentistry to enhance dental diagnostics, treatment planning, and population-ba…