What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Surgery
His primary scientific interests are in Artificial intelligence, Computer vision, Ultrasound, Biomedical engineering and Imaging phantom.
He regularly ties together related areas like 3D ultrasound in his Artificial intelligence studies.
His study in Computer vision is interdisciplinary in nature, drawing from both Position and Data set.
His Ultrasound study introduces a deeper knowledge of Radiology.
The study incorporates disciplines such as Vibration, Mechanical wave, Instrumentation, Ridge detection and Mechanics in addition to Biomedical engineering.
His Imaging phantom research incorporates themes from Percutaneous, Medical imaging, Automatic control and Motion control.
His most cited work include:
- Rapid calibration for 3-D freehand ultrasound (367 citations)
- Hand-held steerable needle device (178 citations)
- Three-dimensional spatial compounding of ultrasound images. (135 citations)
What are the main themes of his work throughout his whole career to date?
Robert Rohling spends much of his time researching Artificial intelligence, Ultrasound, Computer vision, Imaging phantom and Biomedical engineering.
The Artificial intelligence study combines topics in areas such as Echo and Pattern recognition.
His Ultrasound study combines topics in areas such as Percutaneous and Transducer.
His research integrates issues of Calibration and Position in his study of Computer vision.
His research on Imaging phantom concerns the broader Optics.
His work is dedicated to discovering how Elastography, Elasticity are connected with Finite element method and other disciplines.
He most often published in these fields:
- Artificial intelligence (44.59%)
- Ultrasound (40.00%)
- Computer vision (35.08%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (44.59%)
- Pattern recognition (10.16%)
- Ultrasound (40.00%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Artificial intelligence, Pattern recognition, Ultrasound, Echo and Deep learning.
Many of his studies involve connections with topics such as Computer vision and Artificial intelligence.
Robert Rohling has included themes like Calibration, Autoencoder and Joint in his Computer vision study.
His studies deal with areas such as Saccade, Eye movement and Generative model as well as Pattern recognition.
His Ultrasound research is multidisciplinary, relying on both Lumbar, Ultrasonic sensor, Biomedical engineering and Image registration.
Robert Rohling focuses mostly in the field of Echo, narrowing it down to topics relating to Image quality and, in certain cases, Reliability, Categorical variable, Medical imaging and Feature.
Between 2018 and 2021, his most popular works were:
- Cardiac Phase Detection in Echocardiograms With Densely Gated Recurrent Neural Networks and Global Extrema Loss (16 citations)
- Adaptive Augmentation of Medical Data Using Independently Conditional Variational Auto-Encoders (12 citations)
- Automatic biplane left ventricular ejection fraction estimation with mobile point-of-care ultrasound using multi-task learning and adversarial training. (11 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Surgery
Robert Rohling mainly investigates Artificial intelligence, Pattern recognition, Segmentation, Imaging phantom and Attenuation coefficient.
Artificial intelligence and Echo are frequently intertwined in his study.
His Echo research integrates issues from Image quality and Computer vision.
The Segmentation study combines topics in areas such as Ventricle and Image translation.
His Imaging phantom research incorporates elements of Standard deviation, Regularization, Total variation denoising, Algorithm and Penetration depth.
His Attenuation coefficient research includes elements of Biomedical engineering, Parabolic reflector, Multi-mode optical fiber and Fluence.
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