This is our latest work on left ventricle (LV) segmentation presented at IEEE International Ultrasonics Symposium (IUS) 2021. In this work, we have investigated the use of neural networks with convolutional long short-term memory...
As far as I know, the OpenCL-OpenGL interopability on Linux only works with the amdgpu pro driver. In this post I explain how you can get the CL-GL interop to work on ubuntu. Start...
I have been working a lot lately with different deep learning inference engines, integrating them into the FAST framework. Specifically I have been working with Google’s TensorFlow (with cuDNN acceleration), NVIDIA’s TensorRT and Intel’s...
Just published an article in Journal of Medical Imaging on using neural networks to highlight nerves and blood vessels seen during ultrasound-guided axillary nerve blocks. The video above shows the neural network in action...
Her finner du Norges fylke og kommunegrenser i GeoJSON format og EPSG:3857 projeksjon. Disse grensene er opprinnelig hentet fra Geonorge, Norges offisielle kart database. Grensekoordinatene fra Geonorge er bare tilgjengelig i UTM 33 projeksjon,...
This video shows an application we are currently working on at the Centre for Innovative Ultrasound Solutions (CIUS). The application is developed using FAST which is integrated with TensorFlow for fast neural network inference.
Apparently, the current NVIDIA drivers (387) which comes with CUDA 9.1 doesn’t compile with the new Linux kernels (4.13+) on Ubuntu. The error report from DKMS will say something like: /var/lib/dkms/nvidia-387/387.26/build/nvidia-uvm/uvm8_va_block.c: In function ‘block_cpu_fault_locked’:...
This video shows the work in progress on an algorithm for tracking objects captured by a Kinect camera using the FAST framework. FAST now comes with a Kinect module which uses libfreenect2 to stream...
The video shows our first result in the field of deep learning and convolutional neural networks. We designed a neural network which can automatically locate and segment blood vessels in real-time from B-mode ultrasound...
After training a convolutional neural network, one often wants to see what the network has learned. The following python function creates and displays an image with all convolutions of a specific layer as shown...
