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M. D’Esposito

4 papers hereh-index 13062.3k citations475 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • q-bio.NC2
  • eess.IV1
  • q-bio.QM1
same name
  • M. D’Esposito — 1 paper, h 11

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedA mechanistic model of connector hubs, modularity, and cognition

220 citations · 224 across the 4 of their papers we have counts for

collaborators

4 papers

eess.IV2023★ 4 cited

Large-kernel Attention for Efficient and Robust Brain Lesion Segmentation

Liam Chalcroft, Ruben Lourenço Pereira, Mikael Brudfors +5

Vision transformers are effective deep learning models for vision tasks, including medical image segmentation. However, they lack efficiency and translational invariance, unlike co…

q-bio.NC2021

Diurnal variations of resting-state fMRI data: A graph-based analysis

Farzad V. Farahani, Waldemar Karwowski, Mark D Esposito +5

Circadian rhythms synchronize a variety of physiological processes ranging from neural activity and hormone secretion to sleep cycles and feeding habits. Despite significant diurna…

q-bio.QM2019

A simple method for detecting chaos in nature

Daniel Toker, Friedrich T. Sommer, Mark D'Esposito

Chaos, or exponential sensitivity to small perturbations, appears everywhere in nature. Moreover, chaos is predicted to play diverse functional roles in living systems. A method fo…

q-bio.NC2018★ 220 cited

A mechanistic model of connector hubs, modularity, and cognition

Maxwell A. Bertolero, B. T. T. Yeo, Danielle S. Bassett +1

The human brain network is modular--comprised of communities of tightly interconnected nodes. This network contains local hubs, which have many connections within their own communi…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.