World's Best Scientists 2026 revealed!
William M. Wells

William M. Wells

D-Index & Metrics

Computer Science

D-Index
74
Citations
38276
World Ranking
1449
National Ranking
754

Overview

William M. Wells is affiliated with MIT in the United States and has a research portfolio spanning computer science and social sciences. Their academic contributions emphasize computer vision, criminal justice, and occupational health among other interdisciplinary fields.

Wells's publication record includes several papers across diverse venues. Notable recent works include:

  • What happens when sexual assault kits go untested? A focal concerns analysis of suspect identification and police pre-arrest decisions, 2021, Journal of Criminal Justice
  • Investigative Outcomes of CODIS Matches in Previously Untested Sexual Assault Kits, 2021, Criminal Justice Policy Review
  • Unimodal Cyclic Regularization for Training Multimodal Image Registration Networks, 2020, arXiv (Cornell University)
  • Police executives' responses to social upheaval: an examination of work-related perceptions pre- and post-2020, 2025, Policing An International Journal
  • Large Scale Indexing of Generic Medical Image Data using Unbiased Shallow Keypoints and Deep CNN Features, 2020, arXiv (Cornell University)

The frequent collaboration network of Wells includes co-authors such as William R. King, Matthew Wagner, M. J. K. Harper, Alexis R. Rockwell, and Reuben Dorent, each with multiple joint publications.

Wells's research outputs have been published primarily in:

  • arXiv (Cornell University)
  • International Journal of Police Science
  • Journal of Criminal Justice
  • Criminal Justice Policy Review
  • Policing An International Journal

The scientist's areas of expertise cover a broad spectrum within computer science and social sciences, with a focus on the following fields:

  • Computer Science
  • Social Sciences

Within these fields, their subfields of study include:

  • Computer Vision and Pattern Recognition
  • Sociology and Political Science
  • Gender Studies
  • Political Science and International Relations
  • Occupational Therapy

The main research topics addressed in Wells's work are:

  • Sexual Assault and Victimization Studies
  • Criminal Justice and Corrections Analysis
  • Policing Practices and Perceptions
  • Occupational Health and Performance
  • Image Retrieval and Classification Techniques
  • Advanced Image and Video Retrieval Techniques
  • Generative Adversarial Networks and Image Synthesis

Best Publications

  • Alignment by Maximization of Mutual Information

    Paul Viola;William M. Wells

  • Multi-modal volume registration by maximization of mutual information

    William M. Wells;William M. Wells;Paul A. Viola;Paul A. Viola;Hideki Atsumi;Shin Nakajima

  • Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation

    S.K. Warfield;K.H. Zou;W.M. Wells

  • Statistical validation of image segmentation quality based on a spatial overlap index.

    Kelly H. Zou;Kelly H. Zou;Simon K. Warfield;Aditya Bharatha;Clare M.C. Tempany

  • Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015

    Nassir Navab;Joachim Hornegger;William M. Wells;Alejandro F. Frangi

  • Adaptive segmentation of MRI data

    W.M. Wells;W.E.L. Grimson;R. Kikinis;F.A. Jolesz

  • Medical Image Computing and Computer-Assisted Intervention — MICCAI’98

    William M. Wells;Alan Colchester;Scott Delp

  • Alignment by maximization of mutual information

    P. Viola;W.M. Wells

  • A shape-based approach to the segmentation of medical imagery using level sets

    A. Tsai;A. Yezzi;W. Wells;C. Tempany

  • An automatic registration method for frameless stereotaxy, image guided surgery, and enhanced reality visualization

    W.E.L. Grimson;G.J. Ettinger;S.J. White;T. Lozano-Perez

  • Serial intraoperative magnetic resonance imaging of brain shift.

    Arya Nabavi;Peter McL. Black;David T. Gering;Carl-Fredrik Westin

  • An integrated visualization system for surgical planning and guidance using image fusion and an open MR.

    D T Gering;A Nabavi;R Kikinis;N Hata

  • System and method of registration of three-dimensional data sets including anatomical body data

    W. Eric L. Grimson;Steven J. White;Gil J. Ettinger;William M. Wells

  • Electroencephalographic Resting-State Networks: Source Localization of Microstates.

    Anna Custo;Dimitri Van De Ville;William M. Wells;Miralena I. Tomescu

  • An automatic registration method for frameless stereotaxy, image guided surgery, and enhanced reality visualization

    Unknown

  • Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation

    Mohsen Ghafoorian;Mohsen Ghafoorian;Alireza Mehrtash;Alireza Mehrtash;Tina Kapur;Nico Karssemeijer

  • A Bayesian model for joint segmentation and registration

    Kilian M. Pohl;John W. Fisher;W. Eric L. Grimson;Ron Kikinis

  • Markov Random Field Segmentation of Brain MR Images

    Karsten Held;Elena Rota Kops;Bernd J. Krause;William M. Wells

  • Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation

    Alireza Mehrtash;William M. Wells;Clare M. Tempany;Purang Abolmaesumi

  • Detection of prostate cancer by integration of line-scan diffusion, T2-mapping and T2-weighted magnetic resonance imaging; a multichannel statistical classifier

    Ian Chan;Ian Chan;William Wells;William Wells;Robert V. Mulkern;Steven Haker

  • An Integrated Visualization System for Surgical Planning and Guidance Using Image Fusion and Interventional Imaging

    David T. Gering;Arya Nabavi;Ron Kikinis;W. Eric L. Grimson

  • Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation

    Alireza Mehrtash;William M. Wells;Clare M. Tempany;Purang Abolmaesumi

  • Adaptive Segmentation of MRI Data

    William M. Wells;William M. Wells;W. Eric L. Grimson;Ron Kikinis;Ferenc A. Jolesz

  • Level Set Methods in an EM Framework for Shape Classification and Estimation

    Andy Tsai;Andy Tsai;William M. Wells;William M. Wells;Simon K. Warfield;Simon K. Warfield;Simon K. Warfield;Alan S. Willsky

Frequent Co-Authors

Ron Kikinis
Ron Kikinis Brigham and Women's Hospital
Simon K. Warfield
Simon K. Warfield Boston Children's Hospital
Alexandra J. Golby
Alexandra J. Golby Brigham and Women's Hospital
Tina Kapur
Tina Kapur Brigham and Women's Hospital
Nobuhiko Hata
Nobuhiko Hata Brigham and Women's Hospital
Steve Pieper
Steve Pieper Brigham and Women's Hospital
Carl-Fredrik Westin
Carl-Fredrik Westin Brigham and Women's Hospital
Christian Wachinger
Christian Wachinger Technical University of Munich

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring highly accredited online universities opens up a range of flexible pathways for students interested in Computer Science. Online degrees provide accessibility and often allow students to balance studies with personal or professional commitments.

Beyond a traditional Computer Science degree, specialized areas such as game design degree programs are increasingly popular for those interested in the creative and technical aspects of gaming. The gaming industry offers dynamic roles blending programming, art, and storytelling.

Another in-demand pathway is pursuing cyber security degrees. As digital threats continue to evolve, organizations need skilled professionals to protect sensitive data and systems, making cybersecurity a rapidly growing field.

Students may also consider non-traditional paths like a bachelors construction management degree. This field integrates technology and project leadership, with opportunities in smart infrastructure, data analytics, and construction tech innovation for tech-savvy graduates.

Best Scientists Citing William M. Wells

Trending Scientists