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MIS-NeRF: neural radiance fields in minimally-invasive surgery
MIS-NeRF: neural radiance fields in minimally-invasive surgery
Minimally-invasive surgery (MIS) reduces the trauma compared to open surgery but is challenging for endophytic lesion loca...
Training a deep learning model to predict the anatomy irradiated in fluoroscopic x-ray images
Training a deep learning model to predict the anatomy irradiated in fluoroscopic x-ray images
Accurate patient dosimetry estimates from fluoroscopically-guided interventions (FGIs) are hindered by limited knowledge o...
Homology-feature-assisted quantification of fibrotic lesions in computed tomography images: a proof of concept for CT image feature-based prediction for gene-expression-distribution
Homology-feature-assisted quantification of fibrotic lesions in computed tomography images: a proof of concept for CT image feature-based prediction for gene-expression-distribution
Computed tomography (CT) image is promising for diagnosing of interstitial idiopathic pneumonias (IIPs); however, quantifi...
Manual and automated facial de-identification techniques for patient imaging with preservation of sinonasal anatomy
Manual and automated facial de-identification techniques for patient imaging with preservation of sinonasal anatomy
Facial recognition of reconstructed computed tomography (CT) scans poses patient privacy risks, necessitating reliable fac...
End-to-end 2D/3D registration from pre-operative MRI to intra-operative fluoroscopy for orthopedic procedures
End-to-end 2D/3D registration from pre-operative MRI to intra-operative fluoroscopy for orthopedic procedures
Soft tissue pathologies and bone defects are not easily visible in intra-operative fluoroscopic images; therefore, we deve...
Surgeons versus computer vision: a comparative analysis on surgical phase recognition capabilities
Surgeons versus computer vision: a comparative analysis on surgical phase recognition capabilities
Automated surgical phase recognition (SPR) uses artificial intelligence (AI) to segment the surgical workflow into its key...
Spatiotemporally constrained 3D reconstruction from biplanar digital subtraction angiography
Spatiotemporally constrained 3D reconstruction from biplanar digital subtraction angiography
Our goal is to reconstruct 3D cerebral vessels from two 2D digital subtraction angiography (DSA) images acquired using a b...
SurgIPC: a convex image perspective correction method to boost surgical keypoint matching
SurgIPC: a convex image perspective correction method to boost surgical keypoint matching
Keypoint detection and matching is a fundamental step in surgical image analysis. However, existing methods are not perspe...
Evaluating virtual reality as a tool for improving surgical planning in spinal tumors
Evaluating virtual reality as a tool for improving surgical planning in spinal tumors
Surgical planning is essential before the surgery, especially for spinal tumors resection. During the surgical planning, m...
Adaptive sensitivity-fisher regularization for heterogeneous transfer learning of vascular segmentation in laparoscopic videos
Adaptive sensitivity-fisher regularization for heterogeneous transfer learning of vascular segmentation in laparoscopic videos
This study aims to enhance surgical safety by developing a method for vascular segmentation in laparoscopic surgery videos...
Enhancing surgical efficiency with an automated scrub nurse robot: a focus on automatic instrument insertion
Enhancing surgical efficiency with an automated scrub nurse robot: a focus on automatic instrument insertion
To address the chronic shortage of skilled scrub nurses, we propose the development of a scrub nurse robot (SNR). This pap...
Hypothalamus and intracranial volume segmentation at the group level by use of a Gradio-CNN framework
Hypothalamus and intracranial volume segmentation at the group level by use of a Gradio-CNN framework
This study aimed to develop and evaluate a graphical user interface (GUI) for the automated segmentation of the hypothalam...
Cell generation with label evolution diffusion and class mask self-attention
Cell generation with label evolution diffusion and class mask self-attention
Due to the relative difficulty in acquiring histopathological images, the generated cell morphology often presents a fixed...
DivGI: delve into digestive endoscopy image classification
DivGI: delve into digestive endoscopy image classification
Gastrointestinal (GI) endoscopic imaging involves capturing routine anatomical landmarks and suspected lesions during endo...
Multi-volume rendering using depth buffers for surgical planning in virtual reality
Multi-volume rendering using depth buffers for surgical planning in virtual reality
Planning highly complex surgeries in virtual reality (VR) provides a user-friendly and natural way to navigate volumetric ...
Estimation of tumor coverage after RF ablation of hepatocellular carcinoma using single 2D image slices
Estimation of tumor coverage after RF ablation of hepatocellular carcinoma using single 2D image slices
To assess the technical success of radiofrequency ablation (RFA) in patients with hepatocellular carcinoma (HCC), an artif...
Uncertainty Quantification in Image-based 2D/3D Registration and Its Relationship with Accuracy
Uncertainty Quantification in Image-based 2D/3D Registration and Its Relationship with Accuracy
Reliable and accurate 2D/3D registration is essential for image-guided navigation and surgical robotics, enabling precise ...
Transformer-based robotic ultrasound 3D tracking for capsule robot in GI tract
Transformer-based robotic ultrasound 3D tracking for capsule robot in GI tract
Ultrasound (US) imaging is a promising modality for real-time monitoring of robotic capsule endoscopes navigating through ...
DeepPyramid+: medical image segmentation using Pyramid View Fusion and Deformable Pyramid Reception
DeepPyramid+: medical image segmentation using Pyramid View Fusion and Deformable Pyramid Reception
Semantic segmentation plays a pivotal role in many applications related to medical image and video analysis. However, desi...
Endoscopic sleeve gastroplasty: stomach location and task classification for evaluation using artificial intelligence
Endoscopic sleeve gastroplasty: stomach location and task classification for evaluation using artificial intelligence
We have previously developed grading metrics to objectively measure endoscopist performance in endoscopic sleeve gastropla...
Image-based hemodynamic simulations for intracranial aneurysms: the impact of complex vasculature
Image-based hemodynamic simulations for intracranial aneurysms: the impact of complex vasculature
Hemodynamics play an important role in the assessment of intracranial aneurysm (IA) development and rupture risk. The purp...
Artificial intelligence-based image-domain material decomposition in single-energy computed tomography for head and neck cancer
Artificial intelligence-based image-domain material decomposition in single-energy computed tomography for head and neck cancer
While dual-energy computed tomography (DECT) images provide clinically useful information than single-energy CT (SECT), SE...
Deep learning-based osteochondritis dissecans detection in ultrasound images with humeral capitellum localization
Deep learning-based osteochondritis dissecans detection in ultrasound images with humeral capitellum localization
Osteochondritis dissecans (OCD) of the humeral capitellum is a common cause of elbow disorders, particularly among young t...
Airway label prediction in video bronchoscopy: capturing temporal dependencies utilizing anatomical knowledge
Airway label prediction in video bronchoscopy: capturing temporal dependencies utilizing anatomical knowledge
Navigation guidance is a key requirement for a multitude of lung interventions using video bronchoscopy. State-of-the-art ...
Improved subcutaneous edema segmentation on abdominal CT using a generated adipose tissue density prior
Improved subcutaneous edema segmentation on abdominal CT using a generated adipose tissue density prior
Edema, or swelling, is a common symptom of kidney, heart, and liver disease. Volumetric edema measurement is potentially c...
MAIRNet: weakly supervised anatomy-aware multimodal articulated image registration network
MAIRNet: weakly supervised anatomy-aware multimodal articulated image registration network
Multimodal articulated image registration (MAIR) is a challenging problem because the resulting transformation needs to ma...
Domain transformation using semi-supervised CycleGAN for improving performance of classifying thyroid tissue images
Domain transformation using semi-supervised CycleGAN for improving performance of classifying thyroid tissue images
A large number of research has been conducted on the classification of medical images using deep learning. The thyroid tis...
Algorithmically designed flaps in tongue reconstruction: a feasibility analysis
Algorithmically designed flaps in tongue reconstruction: a feasibility analysis
Despite the significance and complexity of tongue reconstruction surgery, a digital tool for flap design is currently lack...
Pose-based tremor type and level analysis for Parkinson’s disease from video
Pose-based tremor type and level analysis for Parkinson’s disease from video
Current methods for diagnosis of PD rely on clinical examination. The accuracy of diagnosis ranges between 73 and 84%, and...
Design consideration on integration of mechanical intravascular ultrasound and electromagnetic tracking sensor for intravascular reconstruction
Design consideration on integration of mechanical intravascular ultrasound and electromagnetic tracking sensor for intravascular reconstruction
Considering vessel deformation, endovascular navigation requires intraoperative geometric information. Mechanical intravas...
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