activity
20202026
most citedTowards deep observation: A systematic survey on artificial intelligence techniques to monitor fetus via Ultrasound Images

37 citations · 37 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

From AI Technical Debt to Agentic Technical Debt: A Systematic Mapping of Root Causes and Manifestations in Agentic AI Systems

Muhammad Tukur, Hayatullahi B. Adeyemo, Tao Chen +5

The emergence of Agentic AI systems, characterized by autonomous reasoning, multi-agent collaboration, tool orchestration, adaptive decision-making, and persistent memory, represen…

cs.SE2026

On AI Safety and Security Technical Debt in Engineering AI-Enabled Systems

Muhammad Tukur, Hayatullahi B. Adeyemo, Tao Chen +5

Artificial intelligence (AI) systems are increasingly deployed in high-stakes domains such as healthcare, autonomous driving, finance, and education. While these systems offer powe…

cs.LG2022★ 37 cited

Towards deep observation: A systematic survey on artificial intelligence techniques to monitor fetus via Ultrasound Images

Mahmood Alzubaidi, Marco Agus, Khalid Alyafei +6

Developing innovative informatics approaches aimed to enhance fetal monitoring is a burgeoning field of study in reproductive medicine. Several reviews have been conducted regardin…

cs.CY2021

Reflections on the Clinical Acceptance of Artificial Intelligence

Jens Schneider, Marco Agus

In this chapter, we reflect on the use of Artificial Intelligence (AI) and its acceptance in clinical environments. We develop a general view of hindrances for clinical acceptance…

cs.GR2020

The Mixture Graph-A Data Structure for Compressing, Rendering, and Querying Segmentation Histograms

Khaled Al-Thelaya, Marco Agus, Jens Schneider

In this paper, we present a novel data structure, called the Mixture Graph. This data structure allows us to compress, render, and query segmentation histograms. Such histograms ar…