8 citations · 14 across the 3 of their papers we have counts for
4 papers
Meta-Initialization of Implicit Neural Representations to Accelerate Deformable Medical Image Registration
Marat O. Zinovev, Dmitry V. Sorokin
Implicit neural representation (INR) methods for deformable medical image registration require the network parameters to be optimized for each new image pair, making adaptation spe…
MGRegBench: A Novel Benchmark Dataset with Anatomical Landmarks for Mammography Image Registration
Svetlana Krasnova, Emiliya Starikova, Ilia Naletov +2
Robust mammography registration is essential for clinically relevant applications like tracking disease progression in breast tissue. However, progress has been limited by the abse…
BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack
Yuri Kuratov, Aydar Bulatov, Petr Anokhin +4
In recent years, the input context sizes of large language models (LLMs) have increased dramatically. However, existing evaluation methods have not kept pace, failing to comprehens…
In Search of Needles in a 11M Haystack: Recurrent Memory Finds What LLMs Miss
Yuri Kuratov, Aydar Bulatov, Petr Anokhin +3
This paper addresses the challenge of processing long documents using generative transformer models. To evaluate different approaches, we introduce BABILong, a new benchmark design…