The diagnostic value of biopsies is highly dependent on the placement of...
Needle positioning is essential for various medical applications such as...
Paranasal anomalies are commonly discovered during routine radiological
...
The use of supervised deep learning techniques to detect pathologies in ...
Using deep learning techniques, anomalies in the paranasal sinus system ...
Radiographs are a versatile diagnostic tool for the detection and assess...
The detection of lesions in magnetic resonance imaging (MRI)-scans of hu...
Ultrasound shear wave elasticity imaging is a valuable tool for quantify...
Medical cyber-physical systems are safety-critical, and as such, require...
We present Posterior Temperature Optimized Bayesian Inverse Models (POTO...
Lesion detection in brain Magnetic Resonance Images (MRIs) remains a
cha...
In pathology and legal medicine, the histopathological and microbiologic...
Autonomous systems are often applied in uncertain environments, which re...
Colorectal Cancer(CRC) poses a great risk to public health. It is the th...
The distinction between malignant and benign tumors is essential to the
...
Medulloblastoma (MB) is a primary central nervous system tumor and the m...
Purpose. Brain Magnetic Resonance Images (MRIs) are essential for the
di...
Medulloblastoma (MB) is the most common malignant brain tumor in childho...
Cold posteriors have been reported to perform better in practice in the
...
Multiple sclerosis is an inflammatory autoimmune demyelinating disease t...
Tracking and localizing objects is a central problem in computer-assiste...
Early detection of cancerous tissue is crucial for long-term patient
sur...
Estimating the forces acting between instruments and tissue is a challen...
In medicine, needles are frequently used to deliver treatments to subsur...
Autism spectrum disorder (ASD) is associated with behavioral and
communi...
Early detection of head and neck tumors is crucial for patient survival....
Forecasting motion of a specific target object is a common problem for
s...
Purpose. Localizing structures and estimating the motion of a specific t...
Multiple sclerosis lesion activity segmentation is the task of detecting...
Online dating has become a common occurrence over the last few decades. ...
The initial assessment of skin lesions is typically based on dermoscopic...
In this paper, we describe our method for the ISIC 2019 Skin Lesion
Clas...
Electroencephalography (EEG) allows for source measurement of electrical...
Cardiac left ventricle (LV) quantification provides a tool for diagnosin...
Purpose. Precise placement of needles is a challenge in a number of clin...
Purpose: The gold standard for colorectal cancer metastases detection in...
Objective: This work addresses two key problems of skin lesion
classific...
Typically, deep learning architectures are handcrafted for their respect...
Early detection of cancer is crucial for treatment and overall patient
s...
Histological evaluation of tissue samples is a typical approach to ident...
Automatic motion compensation and adjustment of an intraoperative imagin...
Bioresorbable scaffolds have become a popular choice for treatment of
co...
Coronary heart disease is a common cause of death despite being preventa...
In this paper we present the methods of our submission to the ISIC 2018
...
Head pose estimation and tracking is useful in variety of medical
applic...
Needle insertion is common during minimally invasive interventions such ...
Deep learning methods have shown impressive results for a variety of med...
Purpose Estimating the interaction forces of instruments and tissue
is o...
The evaluation of new methods for control and manipulation in minimally
...
Advanced atherosclerosis in the coronary arteries is one of the leading
...