8 citations · 9 across the 4 of their papers we have counts for
6 papers
A DirectX-Based DICOM Viewer for Multi-User Surgical Planning in Augmented Reality
Menghe Zhang, Weichen Liu, Nadir Weibel +1
Preoperative medical imaging is an essential part of surgical planning. The data from medical imaging devices, such as CT and MRI scanners, consist of stacks of 2D images in DICOM…
Volkit: A Performance-Portable Computer Vision Library for 3D Volumetric Data
Stefan Zellmann, Giovanni Aguirre, Jürgen P. Schulze
We present volkit, an open source library with high performance implementations of image manipulation and computer vision algorithms that focus on 3D volumetric representations. Vo…
Improving Users' Mental Model with Attention-directed Counterfactual Edits
Kamran Alipour, Arijit Ray, Xiao Lin +4
In the domain of Visual Question Answering (VQA), studies have shown improvement in users' mental model of the VQA system when they are exposed to examples of how these systems ans…
The Impact of Explanations on AI Competency Prediction in VQA
Kamran Alipour, Arijit Ray, Xiao Lin +3
Explainability is one of the key elements for building trust in AI systems. Among numerous attempts to make AI explainable, quantifying the effect of explanations remains a challen…
Deep Learning Improves Contrast in Low-Fluence Photoacoustic Imaging
Ali Hariri, Kamran Alipour, Yash Mantri +2
Low fluence illumination sources can facilitate clinical transition of photoacoustic imaging because they are rugged, portable, affordable, and safe. However, these sources also de…
A Study on Multimodal and Interactive Explanations for Visual Question Answering
Kamran Alipour, Jurgen P. Schulze, Yi Yao +2
Explainability and interpretability of AI models is an essential factor affecting the safety of AI. While various explainable AI (XAI) approaches aim at mitigating the lack of tran…