M. Leming

发表

Multi-confound regression adversarial network for deep learning-based diagnosis on highly heterogenous clinical data

H. Im, Sudeshna Das, M. Leming, 2022, ArXiv.

Adversarial confound regression and uncertainty measurements to classify heterogeneous clinical MRI in Mass General Brigham

H. Im, Sudeshna Das, M. Leming, 2022, PloS one.

A framework for incorporating DTI Atlas Builder registration into tract-based spatial statistics and a simulated comparison to standard TBSS

Martin Styner, Rachel J. Steiner, Matthew Leming, 2016, SPIE Medical Imaging.

Application of deep learning to brain connectivity classification in large MRI datasets

Matthew Leming, M. Leming, 2020 .

Sex differences in brain development in fetuses and infants who are at low or high likelihood for autism

S. Baron-Cohen, J. Suckling, R. Tait, 2021, medRxiv.

Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks

John Suckling, Matthew Leming, Juan Manuel G'orriz, 2020, Int. J. Neural Syst..

Deep learning for sex classification in resting-state and task functional brain networks from the UK Biobank

John Suckling, Matthew Leming, J. Suckling, 2021, NeuroImage.

Single-participant structural similarity matrices lead to greater accuracy in classification of participants than function in autism in MRI

John Suckling, Simon Baron-Cohen, S. Baron-Cohen, 2021, Molecular Autism.

Single-participant structural connectivity matrices lead to greater accuracy in classification of participants than function in autism in MRI pdf

John Suckling, Matthew Leming, Simon Baron-Cohen, 2020, ArXiv.

Stochastic encoding of graphs in deep learning allows for complex analysis of gender classification in resting-state and task functional brain networks from the UK Biobank

J. Suckling, M. Leming, 2020, ArXiv.

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

Francisco Herrera, Richard J. Duro, Paulo Novais, 2020, Neurocomputing.

Normative pathways in the functional connectome

John Suckling, Li Su, Matthew Leming, 2019, NeuroImage.

Construction of a confounder-free clinical MRI dataset in the Mass General Brigham system for classification of Alzheimer's disease

H. Im, Sudeshna Das, M. Leming, 2022, Artif. Intell. Medicine.

Volumetric Segmentation and Characterisation of the Paracingulate Sulcus on MRI Scans

Pietro Liò, Junwei Yang, Arnaud Cachia, 2019, bioRxiv.

Challenges of implementing computer-aided diagnostic models for neuroimages in a clinical setting

J. E. Iglesias, R. Gollub, Yangming Ou, 2023, npj Digit. Medicine.

Label-free detection and discrimination of respiratory pathogens based on electrochemical synthesis of biomaterials-mediated plasmonic composites and machine learning analysis.

Soo Hyun Lee, Sung‐Gyu Park, H. Im, 2023, Biosensors & bioelectronics.