Tanya Akumu

According to our database, Tanya Akumu authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Understanding Task Aggregation for Generalizable Ultrasound Foundation Models.

Fangyijie Wang, Tanya Akumu, Vien Ngoc Dang, Amelia Jiménez-Sánchez, Jieyun Bai, Guénolé C. M. Silvestre, Karim Lekadir, Kathleen M. Curran

CoRR, March, 2026

2025

ACOUSLIC-AI challenge report: Fetal abdominal circumference measurement on blind-sweep ultrasound data from low-income countries.

María Sofía Sappia, Chris L. de Korte, Bram van Ginneken, Dean Ninalga, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Tanya Akumu, Carlos Martín-Isla, Karim Lekadir, Víctor M. Campello, Jorge Fabila, Anette Beverdam, Jeroen van Dillen, Chase Neff, Keelin Murphy

Medical Image Anal., 2025

Fetal Abdomen-Guided Ultrasound Reconstruction via Autoencoder For Optimal Frame Selection and Segmentation.

Ahmed Hazem Youssef, Halim Benhabiles, Tanya Akumu, Marawan Elbatel, Karim Lekadir

Proceedings of the Medical Image Computing in Resource Constrained Settings, 2025

Adaptive Frame Selection for Gestational Age Estimation from Blind Sweep Fetal Ultrasound Videos.

Tanya Akumu, Marawan Elbatel, Víctor M. Campello, Richard Osuala, Carlos Martín-Isla, Ignacio Valenzuela, Xiaomeng Li, Bishesh Khanal, Karim Lekadir

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2023

Detecting Systematic Deviations in Data and Models.

Skyler Speakman, Girmaw Abebe Tadesse, Celia Cintas, William Ogallo, Tanya Akumu, Adebayo Oshingbesan

Computer, February, 2023

Efficient Representation of the Activation Space in Deep Neural Networks.

Tanya Akumu, Celia Cintas, Girmaw Abebe Tadesse, Adebayo Oshingbesan, Skyler Speakman, Edward McFowland III

CoRR, 2023

Weakly Supervised Detection of Hallucinations in LLM Activations.

Miriam Rateike, Celia Cintas, John Wamburu, Tanya Akumu, Skyler Speakman

CoRR, 2023

2022

Systematic Discovery of Bias in Data.

John Wamburu, Girmaw Abebe Tadesse, Celia Cintas, Adebayo Oshingbesan, Tanya Akumu, Skyler Speakman

Proceedings of the IEEE International Conference on Big Data, 2022