Albert Montillo

10.3k total citations · 1 hit paper
59 papers, 7.6k citations indexed

About

Albert Montillo is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Albert Montillo has authored 59 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Computer Vision and Pattern Recognition and 20 papers in Cognitive Neuroscience. Recurrent topics in Albert Montillo's work include Medical Image Segmentation Techniques (19 papers), Functional Brain Connectivity Studies (18 papers) and Advanced MRI Techniques and Applications (11 papers). Albert Montillo is often cited by papers focused on Medical Image Segmentation Techniques (19 papers), Functional Brain Connectivity Studies (18 papers) and Advanced MRI Techniques and Applications (11 papers). Albert Montillo collaborates with scholars based in United States, Austria and United Kingdom. Albert Montillo's co-authors include Bruce R. Rosen, Christian Haselgrove, Nikos Makris, Evelina Busa, Bruce Fischl, André van der Kouwe, Marilyn Albert, Ronald Killiany, Anders M. Dale and David H. Salat and has published in prestigious journals such as Nature Communications, Neuron and PLoS ONE.

In The Last Decade

Albert Montillo

58 papers receiving 7.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Whole Brain Segmentation

2002 6.7k citations Bruce Fischl, David H. Salat et al. Neuron profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Albert Montillo United States	19	3.6k	2.6k	1.9k	911	789	59	7.6k
Christian Haselgrove United States	13	4.1k 1.1×	2.6k 1.0×	2.2k 1.1×	973 1.1×	564 0.7×	32	7.9k
Babak A. Ardekani United States	49	3.6k 1.0×	4.3k 1.6×	1.8k 0.9×	567 0.6×	741 0.9×	104	8.3k
Lei Wang United States	51	3.3k 0.9×	2.4k 0.9×	2.6k 1.4×	1.5k 1.7×	561 0.7×	293	8.8k
Arthur W. Toga United States	43	4.1k 1.1×	4.9k 1.9×	1.4k 0.7×	612 0.7×	782 1.0×	144	9.5k
Evelina Busa United States	12	5.7k 1.6×	3.9k 1.5×	2.8k 1.5×	1.2k 1.3×	871 1.1×	15	10.7k
Greig I. de Zubicaray Australia	50	5.2k 1.4×	3.0k 1.1×	1.6k 0.8×	1.0k 1.2×	381 0.5×	259	8.4k
Gerard R. Ridgway United Kingdom	44	4.2k 1.2×	4.0k 1.5×	2.4k 1.3×	1.5k 1.7×	697 0.9×	107	10.0k
Vladimir Fonov Canada	39	2.0k 0.6×	2.5k 0.9×	1.1k 0.6×	712 0.8×	1.1k 1.4×	146	6.8k
Sandhitsu R. Das United States	40	2.6k 0.7×	1.8k 0.7×	1.6k 0.8×	1.0k 1.1×	716 0.9×	144	5.4k
Noor Jehan Kabani Canada	19	2.6k 0.7×	2.0k 0.7×	1.0k 0.5×	480 0.5×	916 1.2×	21	6.0k

Countries citing papers authored by Albert Montillo

Since Specialization

Citations

This map shows the geographic impact of Albert Montillo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Albert Montillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Montillo more than expected).

Fields of papers citing papers by Albert Montillo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Albert Montillo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Albert Montillo. The network helps show where Albert Montillo may publish in the future.

Co-authorship network of co-authors of Albert Montillo

This figure shows the co-authorship network connecting the top 25 collaborators of Albert Montillo. A scholar is included among the top collaborators of Albert Montillo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Albert Montillo. Albert Montillo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Bhagwat, Nikhil, Rémi Gau, Albert Montillo, et al.. (2025). Predicting Parkinson’s disease trajectory using clinical and functional MRI features: A reproduction and replication study. PLoS ONE. 20(2). e0317566–e0317566. 2 indexed citations

Nguyen, Son Hoang, Keith Hulsey, Murat Can Çobanoğlu, et al.. (2024). Machine Learning Prediction of Lymph Node Metastasis in Breast Cancer: Performance of a Multi-institutional MRI-based 4D Convolutional Neural Network. Radiology Imaging Cancer. 6(3). e230107–e230107. 3 indexed citations

Montillo, Albert, et al.. (2023). Adversarially-Regularized Mixed Effects Deep Learning (ARMED) Models Improve Interpretability, Performance, and Generalization on Clustered (non-iid) Data. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(7). 8081–8093. 5 indexed citations

Montillo, Albert, et al.. (2023). Novel machine learning approaches for improving the reproducibility and reliability of functional and effective connectivity from functional MRI. Journal of Neural Engineering. 20(6). 66023–66023. 2 indexed citations

Raval, Vyom, Abu Minhajuddin, Thomas Carmody, et al.. (2022). BLENDS: Augmentation of Functional Magnetic Resonance Images for Machine Learning Using Anatomically Constrained Warping. Brain Connectivity. 13(2). 80–88. 1 indexed citations

Kooner, Karanjit, et al.. (2022). Glaucoma Diagnosis Through the Integration of Optical Coherence Tomography/Angiography and Machine Learning Diagnostic Models. Clinical ophthalmology. Volume 16. 2685–2697. 9 indexed citations

Berto, Stefano, Danni Luo, Jillian R. Haney, et al.. (2022). Association between resting-state functional brain connectivity and gene expression is altered in autism spectrum disorder. Nature Communications. 13(1). 3328–3328. 25 indexed citations

Cooper, Crystal, Manish K. Jha, Benji T. Kurian, et al.. (2021). Patterns of Pretreatment Reward Task Brain Activation Predict Individual Antidepressant Response: Key Results From the EMBARC Randomized Clinical Trial. Biological Psychiatry. 91(6). 550–560. 14 indexed citations

Raval, Vyom, et al.. (2021). Predicting Parkinson's disease trajectory using clinical and neuroimaging baseline measures. Parkinsonism & Related Disorders. 85. 44–51. 13 indexed citations

10.

Dash, Debadatta, Paul Ferrari, Saleem Malik, et al.. (2018). Determining the Optimal Number of MEG Trials: A Machine Learning and Speech Decoding Perspective. Lecture notes in computer science. 11309. 163–172. 11 indexed citations

11.

Murugesan, Gowtham Krishnan, Alexander K. Powers, Elizabeth M. Davenport, et al.. (2018). Quantifying the association between white matter integrity changes and subconcussive head impact exposure from a single season of youth and high school football using 3D convolutional neural networks. PubMed. 10575. 13–13. 7 indexed citations

12.

Murugesan, Gowtham Krishnan, A. Fazel Famili, Elizabeth M. Davenport, et al.. (2017). Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure. PubMed. 2017. 464–467. 2 indexed citations

13.

Müller, Henning, B. Michael Kelm, Tal Arbel, et al.. (2017). Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging. Lecture notes in computer science. 19 indexed citations

14.

Montillo, Albert, et al.. (2015). Hierarchical pictorial structures for simultaneously localizing multiple organs in volumetric pre-scan CT. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9413. 94130T–94130T. 1 indexed citations

15.

Liu, Xiaofeng, Albert Montillo, Ek T. Tan, John F. Schenck, & Paulo R. S. Mendonça. (2013). Deformable Atlas for Multi-structure Segmentation. Lecture notes in computer science. 16(Pt 1). 743–750. 1 indexed citations

16.

Miller, James V., et al.. (2013). Brain tumor segmentation with symmetric texture and symmetric intensity-based decision forests. PubMed. 2013. 748–751. 23 indexed citations

17.

Montillo, Albert, Jamie Shotton, John Winn, et al.. (2011). Entangled Decision Forests and Their Application for Semantic Segmentation of CT Images. Lecture notes in computer science. 22. 184–196. 90 indexed citations

18.

Montillo, Albert, Dimitris Metaxas, & Leon Axel. (2004). Extracting tissue deformation using Gabor filter banks. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5369. 1–1. 18 indexed citations

19.

Fischl, Bruce, David H. Salat, Evelina Busa, et al.. (2002). Whole Brain Segmentation. Neuron. 33(3). 341–355. 6685 indexed citations breakdown →

20.

Montillo, Albert, Dimitris Metaxas, & Leon Axel. (2002). Automated Segmentation of the Left and Right Ventricles in 4D Cardiac SPAMM Images. Lecture notes in computer science. 2488. 620–633. 32 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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