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Knowledge-based radiation therapy treatment planning decision support system for head and neck cancer utilizing multi-organ constellation matching
Knowledge-based radiation therapy treatment planning decision support system for head and neck cancer utilizing multi-organ constellation matching
Radiotherapy treats cancers through precise delivery of radiation to target volumes. Radiotherapy treatment plans, prescri...
A biomechanical digital twin of Legg–Calvé–Perthes disease deformity
A biomechanical digital twin of Legg–Calvé–Perthes disease deformity
The dynamic stress environment in the hip joint is thought to contribute to pain and osteoarthritis (OA) in people with Le...
Weakly supervised pre-training for surgical step recognition using unannotated and heterogeneously labeled videos
Weakly supervised pre-training for surgical step recognition using unannotated and heterogeneously labeled videos
Surgical video review is essential for minimally invasive surgical training, but manual annotation of surgical steps is ti...
In-depth characterization of a laparoscopic radical prostatectomy procedure based on surgical process modeling
In-depth characterization of a laparoscopic radical prostatectomy procedure based on surgical process modeling
Minimally invasive surgical approaches are currently the standard of care for men with prostate cancer, presenting higher ...
Glioblastoma survival prediction through MRI and clinical data integration with transfer learning
Glioblastoma survival prediction through MRI and clinical data integration with transfer learning
Accurate prediction of overall survival (OS) in glioblastoma patients is critical for advancing personalized treatments an...
Machine learning-based treatment outcome prediction in head and neck cancer using integrated noninvasive diagnostics
Machine learning-based treatment outcome prediction in head and neck cancer using integrated noninvasive diagnostics
Accurate prediction of treatment outcomes is crucial for personalized treatment in head and neck squamous cell carcinoma (...
Reshapeit: reliable shape interaction with implicit template for medical anatomy reconstruction
Reshapeit: reliable shape interaction with implicit template for medical anatomy reconstruction
Shape modeling of volumetric medical images plays a crucial role in quantitative analysis and surgical planning for comput...
Investigating workload and usability of remote magnetic navigation for catheter ablation
Investigating workload and usability of remote magnetic navigation for catheter ablation
Robotic systems for catheter ablation have been in clinical use for many years. While their impact on the clinical outcome...
Colormap augmentation: a novel method for cross-modality domain generalization
Colormap augmentation: a novel method for cross-modality domain generalization
Domain generalization plays a crucial role in analyzing medical images from diverse clinics, scanner vendors, and imaging ...
Multimodal framework for swallow detection in video-fluoroscopic swallow studies using manometric pressure distributions from dysphagic patients
Multimodal framework for swallow detection in video-fluoroscopic swallow studies using manometric pressure distributions from dysphagic patients
Oropharyngeal dysphagia affects up to half of head and neck cancer (HNC) patients. Multi-swallow video-fluoroscopic swallo...
Quantifying the anatomical variability of the proximal femur
Quantifying the anatomical variability of the proximal femur
Achieving a prosthetic femoral version (PFV) within the target range of 10–20° is crucial for optimal biomechan...
DyEndoVO: scene dynamics-aware pose estimation of endoscope in minimally invasive surgery
DyEndoVO: scene dynamics-aware pose estimation of endoscope in minimally invasive surgery
Estimating the 6 degrees of freedom (DoF) pose of an endoscope is crucial for various applications in minimally invasive c...
Using deep vision-language models improves multi-task performance in assistance applications for endoscopic ENT surgery
Using deep vision-language models improves multi-task performance in assistance applications for endoscopic ENT surgery
Deep learning models for endoscopic assistance applications predominantly focus on image-based tasks, such as tool detecti...
Personalized scan path planning for robotic ultrasound in head and neck lesions
Personalized scan path planning for robotic ultrasound in head and neck lesions
Scan path planning is an essential technology for fully automated robotic ultrasound (US). During US screening in head and...
Statistical shape model-based estimation of registration error in computer-assisted total knee arthroplasty
Statistical shape model-based estimation of registration error in computer-assisted total knee arthroplasty
Computer-assisted surgical navigation systems have been developed to improve the precision of total knee arthroplasty (TKA...
Benchmarking variability in semantic segmentation in minimally invasive abdominal surgery
Benchmarking variability in semantic segmentation in minimally invasive abdominal surgery
Anatomical identification during abdominal surgery is subjective given unclear boundaries of anatomical structures. Semant...
Enhancing open-surgery gesture recognition using 3D pose estimation
Enhancing open-surgery gesture recognition using 3D pose estimation
Purpose Surgical gestures are fundamental components of surgical procedures, encompassing actions such as cutting, suturin...
St-Swin TransNet: a spatiotemporal swin transformer-based network for self-supervised depth estimation in stereoscopic surgical videos
St-Swin TransNet: a spatiotemporal swin transformer-based network for self-supervised depth estimation in stereoscopic surgical videos
Depth estimation from stereoscopic laparoscopic videos is of vital importance in computer-assisted intervention due to its...
Toward precision surgical education: quantitative evaluation of surgical performance using instantaneous screw axes
Toward precision surgical education: quantitative evaluation of surgical performance using instantaneous screw axes
In surgical skill development, a trainee’s goal is to move through the learning curve and achieve expert performance...
Two-stream MeshCNN for key anatomical segmentation on the liver surface
Two-stream MeshCNN for key anatomical segmentation on the liver surface
Accurate preoperative segmentation of key anatomical regions on the liver surface is essential for enabling intraoperative...
Enhancing generalization in zero-shot multi-label endoscopic instrument classification
Enhancing generalization in zero-shot multi-label endoscopic instrument classification
Recognizing previously unseen classes with neural networks is a significant challenge due to their limited generalization ...
Evaluation of augmented reality guidance for glenoid pin placement in total shoulder arthroplasty
Evaluation of augmented reality guidance for glenoid pin placement in total shoulder arthroplasty
Computer-aided navigation and patient-specific 3D printed guides have demonstrated superior outcomes in total shoulder art...
Diffusion-driven distillation and contrastive learning for class-incremental semantic segmentation of laparoscopic images
Diffusion-driven distillation and contrastive learning for class-incremental semantic segmentation of laparoscopic images
Understanding anatomical structures in laparoscopic images is crucial for various types of laparoscopic surgery. However, ...
Interpretable deep fuzzy network-aided detection of central lymph node metastasis status in papillary thyroid carcinoma
Interpretable deep fuzzy network-aided detection of central lymph node metastasis status in papillary thyroid carcinoma
The non-invasive assessment of central lymph node metastasis (CLNM) in patients with papillary thyroid carcinoma (PTC) pla...
MHAHF-UNet: a multi-scale hybrid attention hierarchy fusion network for carotid artery segmentation
MHAHF-UNet: a multi-scale hybrid attention hierarchy fusion network for carotid artery segmentation
Carotid plaque is an early manifestation of carotid atherosclerosis, and its accurate segmentation helps to assess cardiov...
Recurrent multi-view 6DoF pose estimation for marker-less surgical tool tracking
Recurrent multi-view 6DoF pose estimation for marker-less surgical tool tracking
Marker-based tracking of surgical instruments facilitates surgical navigation systems with high precision, but requires ti...
A shape completion model for corrective osteotomy of distal radius malunion
A shape completion model for corrective osteotomy of distal radius malunion
When performing 3D planning for osteotomies in patients with distal radius malunion, the contralateral radius is commonly ...
Quality control system for patient positioning and filling in meta-information for chest X-ray examinations
Quality control system for patient positioning and filling in meta-information for chest X-ray examinations
During radiography, irregularities occur, leading to decrease in the diagnostic value of the images obtained. The purpose ...
Surgical neural radiance fields from one image
Surgical neural radiance fields from one image
Neural radiance fields (NeRF) offer exceptional capabilities for 3D reconstruction and view synthesis, yet their reliance ...
Super-resolution for localizing electrode grids as small, deformable objects during epilepsy surgery using augmented reality headsets
Super-resolution for localizing electrode grids as small, deformable objects during epilepsy surgery using augmented reality headsets
Epilepsy surgery is a potential curative treatment for people with focal epilepsy. Intraoperative electrocorticogram (ioEC...
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