PhD Candidate Durgesh Kumar Singh
Image:
Private

PhD Candidate Durgesh Kumar Singh

"Engaging with experienced researchers and healthcare professionals continuously sharpens my methods and broadens my perspective on the significance of my work"

Durgesh Kumar Singh is a PhD candidate at Visual Intelligence (VI) in Tromsø. He visited the University of Oslo and GE Vingmed Ultrasound from May to June 2024.

"Engaging with experienced researchers and healthcare professionals continuously sharpens my methods and broadens my perspective on the significance of my work"

Durgesh Kumar Singh is a PhD candidate at Visual Intelligence in Tromsø. He visited the University of Oslo and GE Vingmed Ultrasound from May to June 2024.

By Petter Bjørklund, Communication Advisor at SFI Visual Intelligence

Can you tell us about your PhD project

My research focuses on the development and application of deep learning models for computer vision, aiming to enhance our understanding of what these models learn and how they can effectively communicate their knowledge.

I am particularly involved in medical image analysis, specifically deep landmark detection for left ventricular (LV) linear measurements. This research aims to improve the accuracy and efficiency of measuring cardiac structures, which is essential for diagnosing and treating heart conditions. By leveraging advanced deep learning techniques, I work to develop models that can reliably identify key anatomical landmarks in medical images, facilitating better clinical decision-making.

Could you describe the collaborative efforts surrounding your project?

Based on close collaboration with user partners such as GE Vingmed, Rikshospitalet in Oslo, and various researchers at UiO, we are addressing pressing issues in LV linear measurements. These measurements are critical indicators for diagnosing heart conditions and have significant benefits for patient care.

We have developed a novel technique for LV linear measurements that not only overcomes the limitations of previous methods but is also more medically relevant. Our collaborative efforts extend to exploring ideas for the automatic detection of significant cardiac events, learning with synthetic data, and adapting synthetically learned models to real data.

This approach helps mitigate the challenge of limited training data for LV linear measurements, ensuring that our models can perform effectively despite the scarcity of labeled training data. We are still researching the synthetic data problem to further improve our models.

The collaborative and supportive environment at the University of Oslo has greatly enhanced my grasp of both the theoretical and practical facets of my research. Engaging with experienced researchers and healthcare professionals continuously sharpens my methods and broadens my perspective on the significance of my work. This blend of academic insight and practical application allows me to thoroughly understand the challenges and opportunities within the field of medical image analysis, ensuring my research is both relevant and impactful.

Latest news

Kunstig intelligens som forklarer hva den tenker

November 15, 2024

Professor Michael Kampffmeyer gave a presentation titled "Kunstig intelligens som forklarer hva den tenker" as part of a Norwegian Centre for E-Health Research Webinar (Norwegian dialogue).

16 EUGLOH mobility scholarships for the NLDL 2025 Winter School

October 31, 2024

EUGLOH students from partner institutions under the EUGLOH alliance can now apply for an exclusive mobility scholarship for the NLDL 2025 Winter School which covers travel, accommodation, and sustenance for successful applicants.

Visual Intelligence at Inspirasjonsdagen 2024

October 29, 2024

Visual Intelligence researchers represented the centre during Inspirasjonsdagen 2024. The event aimed to stimulate high school students' interest and curiosity for STEM and healthcare-related study programmes at UiT The Arctic University of Norway.

Insightful student summer projects on machine learning at UiO

October 16, 2024

Our summer students have worked on projects related to fatigue and stress recognition with machine learning as their first research experience. Their results were presented at Georg Sverdrups hus at University of Oslo on October 16th 2024.

Visual Intelligence research talk at the Pioneer Centre for AI

October 15, 2024

PhD candidate Rwiddhi Chakraborty recently gave an invited research talk titled "Perspectives on Multimodal Reasoning" at the Pioneer Centre for AI at University of Copenhagen.

Visual Intelligence represented at Frampeik 2024

October 14, 2024

Visual Intelligence was represented at Frampeik 2024 by associate professor Elisabeth Wetzer. The event gathered student researchers at Verdensteatret in Tromsø for discussions around AI-related topics.

Register for NLDL 2025!

October 4, 2024

Registration for the Northern Lights Deep Learning Conference 2025 is now open. The general deadline for registration is January 1st 2025.

Visual Intelligence at Forskningsdagene 2024

September 30, 2024

Visual Intelligence researchers participated in various dissemination activities throughout Forskningsdagene 2024. The activities aimed to disseminate general knowledge about deep learning and Visual Intelligence's research activities to the general public.

Another successful Visual Intelligence Days!

September 26, 2024

93 people from across the Visual Intelligence (VI) consortium gathered at Quality Airport Hotel Gardermoen for Visual Intelligence Days 2024, 24th to 25th of September.

Successful PhD defense by Ghadi Al Hajj

September 19, 2024

Congratulations to Ghadi Al Hajj for successfully defending his PhD thesis and achieving the degree of Philosophiae Doctor at the University of Oslo on September 16th 2024!

Nordlys: Klar med KI-utstilling

September 18, 2024

Kommende søndag er det åpen dag på Nordnorsk vitensenter. Der lanseres vitensenteret siste nyvinning, en interaktiv utstilling basert på kunstig intelligens (KI).

uit.no: Vil vekke barns interesse for kunstig intelligens med ny utstilling

September 12, 2024

Maskinlæringsgruppen på UiT og SFI Visual Intelligence har arbeidet med å lage en utstilling som skal øke barns interesse, nysgjerrighet, og forståelse for kunstig intelligens. Nå vil den være utstillingsklar under et åpent familiearrangement på Nordnorsk vitensenter 22 september

forskning.no: Slik kan kunstig intelligens finne mikroskopiske fossiler

September 10, 2024

Forskere har trent opp kunstig intelligens til å finne og kategorisere mikrofossiler. De tror arbeidet kan bli til stor nytte for geologer verden over (Norwegian news story at forskning.no).

Visual Intelligence represented at exclusive Nobel conference

August 29, 2024

Associate professor and PI Elisabeth Wetzer participated in this year's Lindau Nobel Laureate Meeting in Vienna, Austria. The conference is one of the world's largest annual gatherings for Nobel Prize winners.