[HTML][HTML] Evaluation of 3D ultrasound for image guidance

D Iommi, J Hummel, ML Figl - Plos one, 2020 - journals.plos.org
Purpose In this paper we compared two different 3D ultrasound (US) modes (3D free-hand
mode and 3D wobbler mode) to see which is more suitable to perform the 3D-US/3D-US …

Conditional generative adversarial networks aided motion correction of dynamic 18F-FDG PET brain studies

LKS Sundar, D Iommi, O Muzik… - Journal of Nuclear …, 2021 - Soc Nuclear Med
This work set out to develop a motion-correction approach aided by conditional generative
adversarial network (cGAN) methodology that allows reliable, data-driven determination of …

[HTML][HTML] 3D ultrasound guided navigation system with hybrid image fusion

D Iommi, A Valladares, M Figl, M Grahovac… - Scientific Reports, 2021 - nature.com
A prototype of a navigation system to fuse two image modalities is presented. The standard
inter-modality registration is replaced with a tracker-based image registration of calibrated …

LongEval: Longitudinal Evaluation of Model Performance at CLEF 2024

…, P Galuščáková, L Goeuriot, D Iommi… - … on Information Retrieval, 2024 - Springer
This paper introduces the planned second LongEval Lab, part of the CLEF 2024 conference.
The aim of the lab’s two tasks is to give researchers test data for addressing temporal …

Error analysis for a navigation system using 3D abdominal ultrasound

D Iommi, A Valladares, M Figl… - Medical Imaging 2020 …, 2020 - spiedigitallibrary.org
Purpose We present a systematic error analysis for a navigation system which allows image
fusion between two arbitrary image modalities. A prototype was built for prostate biopsies …

Data-driven motion compensation using cGAN for total-body [18F] FDG-PET imaging

LS Sundar, D Iommi, B Spencer, Q Wang, S Cherry… - 2021 - Soc Nuclear Med
35 Introduction: Long axial field-of-view (LAFOV) PET systems offer great promise for total-body
parametric imaging. However, estimation of parametric maps may be critically limited by …

[PDF][PDF] Towards result delta prediction based on knowledge deltas for continuous IR evaluation

…, T Fink, P Galuščáková, F Piroi, D Iommi… - Proceedings of the …, 2023 - hal.science
The continuous evaluation of Information Retrieval Systems requires comparing IR systems
both one to another, but also across collections, in other words across different evaluation …

Predicting Retrieval Performance Changes in Evolving Evaluation Environments

…, P Galuščáková, F Piroi, D Iommi… - … Conference of the Cross …, 2023 - Springer
Abstract Information retrieval (IR) systems evaluation aims at comparing IR systems either (1)
one to another with respect to a single test collection, and (2) across multiple collections. In …

Multicentric PET Image Harmonization utilizing Generative Adversarial Networks

D Haberl, D Iommi, C Spielvogel, I Buvat, A Haug… - 2023 - Soc Nuclear Med
P1184 Introduction: Quantitative PET imaging has been shown to be a promising method for
diagnosis, prognosis and treatment response assessment. Multicenter studies are needed …

A machine learning system for Gleason grading of prostate cancer improves patient stratification for radical prostatectomy: a multiomics diagnostic study

…, S Rasul, S Stoiber, V Bystry, L Papp, D Iommi… - 2023 - Soc Nuclear Med
P594 Introduction: In the current clinical practice, Gleason Score (GS) in needle biopsy is the
main determining factor for the decision of radical prostatectomy (RP), as the first step in a …