A Norwegian research lab for developing advance signal, image processing and artificial intelligence algorithms using complex biomedical and clinical data.
BMD Lab is glad to announce that our research work, "Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs", has been published.
Link to the paper:
https://t.co/HNMHlW6fLh
Congratulations to (Dr.) Mohsen Taheri Shalmani on successfully defending his PhD thesis, “Shape Statistics via Skeletal Structures”.
The BMD Lab is proud to celebrate this significant achievement and extends its warmest wishes for a bright and prosperous future ahead.
Congratulations to (Dr.) Neel Kanwal on successfully defending his PhD thesis, “Artifact Detection for Reliable Computational Pathology Systems
using Artificial Intelligence”.
The BMD Lab is proud to celebrate this significant achievement and wishes for a bright future ahead.
Congratulations to (Dr.) Liv Jorunn Høllesli on successfully defending hers PhD thesis, “Stroke Mimics and In Depth Analysis of Computed Tomography Perfusion in Patients with Acute Ischemic Stroke”. The BMD Lab is proud to celebrate this significant achievement.
Congratulations to (Dr.) Saul Fuster Navarro on successfully defending his PhD thesis, “Deep Learning-Driven Diagnostic and Prognostic Solutions for Histopathological Images of Bladder Cancer”.
Our Ph.D. fellows Neel Kanwal and Saul Fuster Navarro presented their research at the CLARIFY Final Conference, held in Valencia, Spain, from Jan 25-26, 2024. The conference held poster sessions to provide highlights for contributions made by BMD Lab members in the consortium.
Our Ph.D. fellow Jorge García-Torres Fernández presented his work, titled "Comparative Analysis of Binary and Multiclass Activity Recognition in High-Quality Newborn Resuscitation Videos", at NLDL Conference, held at Tromsø, Norway.
Link to the paper: https://t.co/5t8Iudo6kt
Prof. Kjersti Engan gave a talk on "A Dual Convolutional Neural Network Pipeline for Melanoma Diagnostics and Prognostics" at the Northern Lights Deep Learning (NLDL) Conference, held at Tromsø, Norway, during January 9-11, 2024.
Link to the paper: https://t.co/dEdhh4gNwr
We are excited to share that our recent article, "Are you sure it's an artifact? Artifact detection and uncertainty quantification in histological images" in Computerized Medical Imaging and Graphic Journal.
Check out the full article here: https://t.co/nW5I669RMA
#openposition.
🌟 Exciting PhD Fellowship Opportunity in AI for Active and Assisted Living (AAL) at the University of Stavanger!🌟
Read detailed post at: https://t.co/53uwlZthwy
Congratulations to (Dr.) Luca Tomasetti on successfully defending his PhD thesis, “Automatic AI-Driven segmentation of Acute Ischemic Stroke Regions with CP Perfusion Images”.
The BMD Lab is proud to celebrate this significant achievement with you.
Our Ph.D. research fellow, Neel Kanwal, gave a lecture on his accepted research work, "Balancing Privacy and Progress in Artificial Intelligence: Anonymization in Histopathology For Biomedical Research and Education," at FAIEMA Conference (https://t.co/e3xxppIihC)
Prof. Jan Terje Kvaløy published his "Heart rate and QRS duration as biomarkers predict the immediate outcome from pulseless electrical activity" is part of a data analysis project.
Link to the paper: https://t.co/QYzsnFYFmK
Our Ph.D. fellows Saul Fuster, Anna Kurbatskaya, and Neel Kanwal, gave lectures about their research work at the 31st EUSIPCO Conference held in Helsinki from Sep 04-08, 2023.
Preprints of paper: https://t.co/eMxIPeLa3h, https://t.co/ROpWIpRJtr, https://t.co/X7lvOJoiPf
Our Ph.D. research fellow Anna Kurbatskaya presented her work “Machine Learning-Based Detection of Parkinson’s Disease from Resting-State EEG: A Multi-Center Study” 45th IEEE (EMBC) Conference held in Sydney, Australia on July 24-27, 2023.
Link to paper: https://t.co/0VLkgXY2Sw
📚 Exciting Book Project Announcement! 📚
Our BMD Lab researcher, Florenc Demrozi is thrilled to share with you an upcoming book project that is currently underway.
About the book: https://t.co/oUQ019Yuz3
#MachineLearning#SensorApplications#HumanSupport#AAL#MLSHEARS
We are delighted to announce that our paper has been accepted at EUSIPCO 2023.
"Assessing gender fairness in EEG-based machine learning detection of Parkinson's disease: A multi-center study" by Anna Kurbatskaya
Link to paper: https://t.co/kKHtAZGtUd
We are delighted to announce that our paper has been accepted at EUSIPCO 2023.
"Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images." by Saul Fuster Navarro
Link to paper: https://t.co/YGLtkTQcrd
We are delighted to announce that our paper has been accepted at EUSIPCO 2023.
"Detection and Localization of Melanoma Skin Cancer in Histopathological Whole Slide Images" by @NeeKanwal
Link to paper: https://t.co/3PfUeW3LPG
(Tomorrow) Friday 9th of June the NRC- project “NewbornTime - improved newborn care based on video and artificial intelligence” will arrange a workshop at UiS, from 8:30-12:30.
Venue: KE-E102, University of Stavanger
Project web page: https://t.co/nGiUKwUVpv