A5028746832- Surgical Simulation and Training
- Anatomy and Medical Technology
- Cardiac, Anesthesia and Surgical Outcomes
- Augmented Reality Applications
- Artificial Intelligence in Healthcare and Education
- Human Pose and Action Recognition
- Bayesian Modeling and Causal Inference
- Advanced Causal Inference Techniques
- Soft Robotics and Applications
- Medical Imaging and Analysis
- Machine Learning in Healthcare
- Hospital Admissions and Outcomes
- Statistical Methods and Inference
- Neonatal Respiratory Health Research
- Cell Image Analysis Techniques
- Statistical Methods in Clinical Trials
- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- COVID-19 Clinical Research Studies
- Digital Media Forensic Detection
- Explainable Artificial Intelligence (XAI)
- Hand Gesture Recognition Systems
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Long-Term Effects of COVID-19
- Digital Imaging in Medicine
Fraunhofer Institute for Cognitive Systems
2021-2024
Helmholtz Zentrum München
2021-2023
Institute of Bioinformatics and Systems Biology
2022
Society of Thoracic Surgeons
2022
Johns Hopkins University
2012-2021
Queen's University
2008-2012
Amirkabir University of Technology
2004
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Objective</i> : State-of-the-art techniques for surgical data analysis report promising results automated skill assessment and action recognition. The contributions of many these techniques, however, are limited to study-specific validation metrics, making progress across the field extremely challenging. xmlns:xlink="http://www.w3.org/1999/xlink">Methods</i> In this paper, we address two major...
We focus on visually meaningful color image watermarks, we construct a new digital watermarking scheme based the discrete cosine transformation. The proposed method uses sensitivity of human eyes to adoptively embed watermark in image. In addition, prevent tampering or unauthorized access, permutation function is proposed, which causes structural noise over extracted watermark. Also, have procedure eliminate this decrease false positives and negatives experimental results show that embedding...
Abstract Background: Assessment of surgical skill plays a crucial role in determining competency, monitoring educational programs, and providing trainee feedback. With the changing health care environment, it will likely play an important credentialing maintenance certification. The ideal assessment tool should be unbiased, objective, accurate. We hypothesize that tool‐motion data—how surgeon moves his/her instruments—and eye‐gaze data—what looks at when he/she operates—contain sufficient...
Background Surgical tasks are performed in a sequence of steps, and technical skill evaluation includes assessing task flow efficiency. Our objective was to describe differences for expert novice surgeons basic surgical task. Methods We used hierarchical semantic vocabulary decompose annotate maneuvers gestures 135 instances surgeon's knot by 18 surgeons. compared counts gestures, analyzed level. Results Experts fewer perform the (26.29; 95% CI = 25.21 27.38 experts vs. 31.30; 29.05 33.55...
Introduction: Prognostic scores are important tools in oncology to facilitate clinical decision-making based on patient characteristics. To date, classic survival analysis using Cox proportional hazards regression has been employed the development of these prognostic scores. With advance analytical models, this study aimed determine if more complex machine-learning algorithms could outperform classical methods. Methods: In benchmarking study, two datasets were used develop and compare...
SARS-CoV-2 remains an acute threat to human health, endangering hospital capacities worldwide. Previous studies have aimed at informing pathophysiologic understanding and identification of disease indicators for risk assessment, monitoring, therapeutic guidance. While findings start emerge in the general population, observations high-risk patients with complex pre-existing conditions are limited. We addressed gap existing knowledge regard a differentiated dynamics infection while...
In this paper an optimized elliptical array antenna is presented. The side lobe level and directivity of the using particle swarm based on fuzzy decision-making. implemented system, inputs are parameters like population, outputs such as some coefficient to produce next generation. A inference system used for control swarm. Simulation results show high quality optimization logic. Amplitudes have been with novel design approach presented herein. This can be in a smart MIMO wireless...
Saliency methods are designed to provide explainability for deep image processing models by assigning feature-wise importance scores and thus detecting informative regions in the input images. Recently, these have been widely adapted time series domain, aiming identify important temporal a series. This paper extends our former work on identifying systematic failure of such domain produce relevant results when patterns based underlying latent information rather than regions. First, we both...
The pattern graph framework solves a wide range of missing data problems with nonignorable mechanisms. However, it faces two challenges assessability and interpretability, particularly important in safety‐critical such as clinical diagnosis: (i) How can one assess the validity framework's priori assumption make necessary adjustments to accommodate known information about problem? (ii) interpret process exponential tilting used for sensitivity analysis choose tilt perturbations based on...
Machine translation (MT) draws from several different disciplines, making it a complex subject to teach. There are excellent pedagogical texts, but problems in MT and current algorithms for solving them best learned by doing. As centerpiece of our course, we devised series open-ended challenges students which the goal was improve performance on carefully constrained instances four key tasks: alignment, decoding, evaluation, reranking. Students brought diverse set techniques problems,...
This article focuses on human skill understanding in the context of surgical assessment and training which has enormous immediate application potential to enhance healthcare delivery. Surgical procedural performance involves interplay a highly dynamic system inter-coupled perceptual, sensory, cognitive components. Computer-Integrated Surgery systems are quintessential part modern workflow owing developments miniaturization, sensors computation. Robotic Minimally Invasive Surgery, engendered...
Simulation studies play a key role in the validation of causal inference methods. The simulation results are reliable only if study is designed according to promised operational conditions method-in-test. Still, many literature tend design over-restricted or misspecified studies. In this paper, we elaborate on problem improper for methods and compile list desiderata an effective framework. We then introduce partially randomized (PARCS), framework that meets those desiderata. PARCS...
Machine learning methods often assume input features are available at no cost. However, in domains like healthcare, where acquiring could be expensive or harmful, it is necessary to balance a feature's acquisition cost against its predictive value. The task of training an AI agent decide which acquire called active feature (AFA). By deploying AFA agent, we effectively alter the strategy and trigger distribution shift. To safely deploy agents under this shift, present problem performance...
Very preterm infants are at high risk for suboptimal nutrition in the first weeks of life leading to insufficient weight gain and complications arising from metabolic imbalances such as bone mineral accretion. We investigated use a novel set standardized parenteral (PN; MUC PREPARE) solutions regarding improving nutritional intake, accelerating termination feeding, positively affecting growth comparison individually prescribed compounded PN solutions. studied effect PREPARE on macro-...
Previous work on surgical skill assessment using intraoperative tool motion in the operating room (OR) has focused highly-structured tasks such as cholecystectomy. Further, these methods only considered generic metrics time and number of movements, which are limited instructive value. In this paper, we developed evaluated an automated approach to nasal septoplasty OR. The obstructed field view highly unstructured nature precludes trainees from efficiently learning procedure. We propose a...