45 citations · 116 across the 92 of their papers we have counts for
13 papers · 2 filters
Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis
Yousef Yeganeh, Azade Farshad, Ioannis Charisiadis +5
Scaling by training on large datasets has been shown to enhance the quality and fidelity of image generation and manipulation with diffusion models; however, such large datasets ar…
SuperGSeg: Open-Vocabulary 3D Segmentation with Structured Super-Gaussians
Siyun Liang, Sen Wang, Kunyi Li +5
3D Gaussian Splatting has recently gained traction for its efficient training and real-time rendering. While its vanilla representation is mainly designed for view synthesis, recen…
ESCAPE: Equivariant Shape Completion via Anchor Point Encoding
Burak Bekci, Nassir Navab, Federico Tombari +1
Shape completion, a crucial task in 3D computer vision, involves predicting and filling the missing regions of scanned or partially observed objects. Current methods expect known p…
Extrapolating Prospective Glaucoma Fundus Images through Diffusion Model in Irregular Longitudinal Sequences
Zhihao Zhao, Junjie Yang, Shahrooz Faghihroohi +5
The utilization of longitudinal datasets for glaucoma progression prediction offers a compelling approach to support early therapeutic interventions. Predominant methodologies in t…
Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder
Matan Atad, David Schinz, Hendrik Moeller +6
Counterfactual explanations (CEs) aim to enhance the interpretability of machine learning models by illustrating how alterations in input features would affect the resulting predic…
Intraoperative Registration by Cross-Modal Inverse Neural Rendering
Maximilian Fehrentz, Mohammad Farid Azampour, Reuben Dorent +7
We present in this paper a novel approach for 3D/2D intraoperative registration during neurosurgery via cross-modal inverse neural rendering. Our approach separates implicit neural…
SURGIVID: Annotation-Efficient Surgical Video Object Discovery
Çağhan Köksal, Ghazal Ghazaei, Nassir Navab
Surgical scenes convey crucial information about the quality of surgery. Pixel-wise localization of tools and anatomical structures is the first task towards deeper surgical analys…
PHOCUS: Physics-Based Deconvolution for Ultrasound Resolution Enhancement
Felix Duelmer, Walter Simson, Mohammad Farid Azampour +3
Ultrasound is widely used in medical diagnostics allowing for accessible and powerful imaging but suffers from resolution limitations due to diffraction and the finite aperture of…
Deep Spectral Methods for Unsupervised Ultrasound Image Interpretation
Oleksandra Tmenova, Yordanka Velikova, Mahdi Saleh +1
Ultrasound imaging is challenging to interpret due to non-uniform intensities, low contrast, and inherent artifacts, necessitating extensive training for non-specialists. Advanced…
SANGRIA: Surgical Video Scene Graph Optimization for Surgical Workflow Prediction
Çağhan Köksal, Ghazal Ghazaei, Felix Holm +2
Graph-based holistic scene representations facilitate surgical workflow understanding and have recently demonstrated significant success. However, this task is often hindered by th…
Class-Aware Cartilage Segmentation for Autonomous US-CT Registration in Robotic Intercostal Ultrasound Imaging
Zhongliang Jiang, Yunfeng Kang, Yuan Bi +3
Ultrasound imaging has been widely used in clinical examinations owing to the advantages of being portable, real-time, and radiation-free. Considering the potential of extensive de…
Ultrasound Report Generation with Cross-Modality Feature Alignment via Unsupervised Guidance
Jun Li, Tongkun Su, Baoliang Zhao +5
Automatic report generation has arisen as a significant research area in computer-aided diagnosis, aiming to alleviate the burden on clinicians by generating reports automatically…
ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain Modeling
Ege Özsoy, Chantal Pellegrini, Matthias Keicher +1
Every day, countless surgeries are performed worldwide, each within the distinct settings of operating rooms (ORs) that vary not only in their setups but also in the personnel, too…