output
20082026
most citedNiftyNet: a deep-learning platform for medical imaging

563 citations

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10 papers · 1 filter

q-bio.NC2025★ 2 cited

Dissociating model architectures from inference computations

Noor Sajid, Johan Medrano

Parr et al., 2025 examines how auto-regressive and deep temporal models differ in their treatment of non-Markovian sequence modelling. Building on this, we highlight the need for d…

q-bio.NC2025★ 119 cited

KMT2B-related disorders: expansion of the phenotypic spectrum and long-term efficacy of deep brain stimulation

L Cif, D Demailly, JP Lin +112

Heterozygous mutations in KMT2B are associated with an early-onset, progressive, and often complex dystonia (DYT28). Key characteristics of typical disease include focal motor feat…

q-bio.NC2023★ 7 cited

Computational limits to the legibility of the imaged human brain

James K Ruffle, Robert J Gray, Samia Mohinta +5

Our knowledge of the organisation of the human brain at the population-level is yet to translate into power to predict functional differences at the individual-level, limiting clin…

q-bio.NC2023★ 15 cited

Linking fast and slow: the case for generative models

Johan Medrano, Karl J. Friston, Peter Zeidman

A pervasive challenge in neuroscience is testing whether neuronal connectivity changes over time due to specific causes, such as stimuli, events, or clinical interventions. Recent…

q-bio.NC2022★ 6 cited

Focal and Connectomic Mapping of Transiently Disrupted Brain Function

Michael S. Elmalem, Hanna Moody, James K. Ruffle +5

The distributed nature of the neural substrate, and the difficulty of establishing necessity from correlative data, combine to render the mapping of brain function a far harder tas…

q-bio.NC2022★ 84 cited

Motor neuron pathology in CANVAS due to RFC1 expansions

Vincent Huin, Giulia Coarelli, Clément Guemy +22

CANVAS caused by RFC1 biallelic expansions is a major cause of inherited sensory neuronopathy. Detection of RFC1 expansion is challenging and CANVAS can be associated with atypical…

q-bio.NC2020★ 9 cited

Focal to bilateral tonic-clonic seizures are associated with widespread network abnormality in temporal lobe epilepsy

Nishant Sinha, Natalie Peternell, Gabrielle M. Schroeder +6

Objective: To identify if whole-brain structural network alterations in patients with temporal lobe epilepsy (TLE) and focal to bilateral tonic-clonic seizures (FBTCS) differ from…

q-bio.NC2020★ 1 cited

Nonlinear computations in spiking neural networks through multiplicative synapses

Michele Nardin, James W Phillips, William F Podlaski +1

The brain efficiently performs nonlinear computations through its intricate networks of spiking neurons, but how this is done remains elusive. While nonlinear computations can be i…

q-bio.NC2017★ 155 cited

The impact of epilepsy surgery on the structural connectome and its relation to outcome

Peter N Taylor, Nishant Sinha, Yujiang Wang +6

Temporal lobe surgical resection brings seizure remission in up to 80% of patients, with long-term complete seizure freedom in 41%. However, it is unclear how surgery impacts on th…

q-bio.NC2013★ 15 cited

Identification of criticality in neuronal avalanches: II. A theoretical and empirical investigation of the driven case

Caroline Hartley, Timothy J Taylor, Istvan Z Kiss +2

The observation of apparent power-laws in neuronal systems has led to the suggestion that the brain is at, or close to, a critical state and may be a self-organised critical system…