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Multimodal graph-based classification of esophageal motility disorders
Multimodal graph-based classification of esophageal motility disorders
Diagnosing esophageal motility disorders, including dysphagia, pose significant challenges due to the complexity of high-r...
Intraoperative ultrasound-based brain tumor segmentation with boundary-overlay visualization for surgical assistance
Intraoperative ultrasound-based brain tumor segmentation with boundary-overlay visualization for surgical assistance
Brain shift during neurosurgical tumor resection reduces the reliability of preoperative image-based navigation and increa...
Mixed reality simulation of guided needle insertion: effects of interaction and visual fidelity
Mixed reality simulation of guided needle insertion: effects of interaction and visual fidelity
Mixed reality (MR) simulations are increasingly used in medical training to provide safe, controllable, and repeatable pra...
Development of a master-slave isomorphic modular handheld electric robotic prototype for laparoscopic surgery
Development of a master-slave isomorphic modular handheld electric robotic prototype for laparoscopic surgery
Handheld laparoscopic robots may enhance surgical quality while reducing medical resource use. These types of devices prim...
Respiratory-induced liver motion prediction using ECG as surrogate signal
Respiratory-induced liver motion prediction using ECG as surrogate signal
This study investigates the use of electrocardiogram (ECG) as a surrogate signal to model the liver’s respiratory-in...
Clinical DVH metrics as a loss function for 3D dose prediction in head and neck radiotherapy
Clinical DVH metrics as a loss function for 3D dose prediction in head and neck radiotherapy
Deep learning-based three-dimensional (3D) dose prediction is widely used in automated radiotherapy workflows. However, mo...
Enhancing critical view of safety recognition using vision foundation models and state-space temporal modeling
Enhancing critical view of safety recognition using vision foundation models and state-space temporal modeling
The Critical View of Safety (CVS) is a clinically mandated criterion for reducing bile duct injury during laparoscopic cho...
Automatic MRI-Based segmentation of ablation zones in spine and liver: A comparative study of network performance and influencing factors
Automatic MRI-Based segmentation of ablation zones in spine and liver: A comparative study of network performance and influencing factors
Ablation therapies are a treatment option for cancer patients, particularly for conditions such as spinal metastases and l...
Assessment of open surgery suturing skills via markerless hand tracking: a multistage approach using 3D hand skeleton and kinematic metrics
Assessment of open surgery suturing skills via markerless hand tracking: a multistage approach using 3D hand skeleton and kinematic metrics
The transition toward competency-based medical education requires scalable, objective surgical skill assessment. While sen...
A mixed reality hand fracture simulator for virtual K-wire fixation
A mixed reality hand fracture simulator for virtual K-wire fixation
Proper management of hand fractures requires accurate reduction of bone fragments and stabilization with Kirschner wire (K...
Clinical outcome prediction of Contour Neurovascular System treatment based on pre-treatment geometric and hemodynamic characteristics
Clinical outcome prediction of Contour Neurovascular System treatment based on pre-treatment geometric and hemodynamic characteristics
The contour neurovascular system (CNS) is increasingly used for endovascular treatment of intracranial aneurysms, but outc...
AMR-VSF: an adaptive memory correction framework for robust 3D CT aorta segmentation
AMR-VSF: an adaptive memory correction framework for robust 3D CT aorta segmentation
Accurate 3D aortic segmentation in CT images is vital for cardiovascular disease diagnosis, surgical planning, and intraop...
SurgAnt-ViVQA: learning to anticipate surgical events through GRU-driven temporal cross-attention
SurgAnt-ViVQA: learning to anticipate surgical events through GRU-driven temporal cross-attention
Anticipating forthcoming surgical events is vital for real-time assistance in endonasal transsphenoidal pituitary surgery,...
BirthARssistant: a childbirth delivery training simulator integrating microsoft HoloLens2, 3D-printing and electromagnetic tracking
BirthARssistant: a childbirth delivery training simulator integrating microsoft HoloLens2, 3D-printing and electromagnetic tracking
Manual assistance during vaginal delivery requires precise hand coordination to guide fetal emergence while protecting the...
Systematic evaluation of foundation models for organ-level classification on CT scans
Systematic evaluation of foundation models for organ-level classification on CT scans
Foundation models are increasingly used as frozen feature extractors for CT classification tasks, yet the determinants of ...
Virtual intraoperative CT (viCT): sequential anatomic updates for modeling tissue resection throughout endoscopic sinus surgery
Virtual intraoperative CT (viCT): sequential anatomic updates for modeling tissue resection throughout endoscopic sinus surgery
Incomplete dissection is a common cause of persistent disease and revision endoscopic sinus surgery (ESS) in chronic rhino...
Design and development of an endoscopic robotic system and deep reinforcement learning path planning algorithm for fine-needle biopsy of liver lesions
Design and development of an endoscopic robotic system and deep reinforcement learning path planning algorithm for fine-needle biopsy of liver lesions
This paper presents the design, development and evaluation of a novel robotic platform for endoscopic ultrasound-guided fi...
Anticipating the hospital of the future: stakeholder perspectives on 6G technology requirements in health care
Anticipating the hospital of the future: stakeholder perspectives on 6G technology requirements in health care
The ongoing 6G standardization process is largely driven by technical advancements, but with limited consideration of sect...
Automatic probe guidance for volumetric liver ultrasound acquisition via imitation learning from a virtual expert
Automatic probe guidance for volumetric liver ultrasound acquisition via imitation learning from a virtual expert
Volumetric liver ultrasound (US) plays an important role in clinical diagnosis but remains highly dependent on operator ex...
A real-time metric for quantifying registration stability in mixed reality neurosurgical navigation
A real-time metric for quantifying registration stability in mixed reality neurosurgical navigation
Mixed reality (MR) guidance enables real-time superimposition of virtual anatomical models onto the surgical field but is ...
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...
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