World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
10242
World Ranking
4866
National Ranking
2267

Overview

Punam K. Saha is affiliated with the University of Iowa in the United States. Their research primarily falls within the field of Medicine, with a focus on several subfields including Pulmonary and Respiratory Medicine, Orthopedics and Sports Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, and Physiology.

Their body of work addresses key topics such as:

  • Bone health and osteoporosis research
  • Chronic Obstructive Pulmonary Disease (COPD) Research
  • Medical Imaging Techniques and Applications
  • Respiratory Support and Mechanisms
  • Bone and Joint Diseases
  • Radiomics and Machine Learning in Medical Imaging
  • Hip and Femur Fractures

Recent publications by Punam K. Saha include:

  • "A CT-Based Automated Algorithm for Airway Segmentation Using Freeze-and-Grow Propagation and Deep Learning" (2020), published in IEEE Transactions on Medical Imaging
  • "A comparative study of trabecular bone micro-structural measurements using different CT modalities" (2020), published in Physics in Medicine and Biology
  • "Finite element analysis of trabecular bone microstructure using CT imaging and continuum mechanical modeling" (2022), published in Medical Physics
  • "3dSpAn: An interactive software for 3D segmentation and analysis of dendritic spines" (2021), published in Neuroinformatics
  • "Bone and non-contractile soft tissue changes following open kinetic chain resistance training and testosterone treatment in spinal cord injury: an exploratory study" (2021), published in Osteoporosis International

Punam K. Saha has frequently collaborated with several researchers, including:

  • Eric A. Hoffman
  • Alejandro P. Comellas
  • Syed Ahmed Nadeem
  • Xiaoliu Zhang
  • Indranil Guha

The scientist's work appears regularly in key academic venues, most notably:

  • Medical Physics
  • JBMR Plus
  • American Journal of Respiratory and Critical Care Medicine
  • Neuroinformatics
  • Methods

Best Publications

  • CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE)

    Chenyu You;Wenxiang Cong;Michael W. Vannier;Punam K. Saha

  • Scale-Based Fuzzy Connected Image Segmentation

    Punam K. Saha;Jayaram K. Udupa;Dewey Odhner

  • A survey on skeletonization algorithms and their applications

    Punam K. Saha;Gunilla Borgefors;Gabriella Sanniti di Baja

  • Optimum image thresholding via class uncertainty and region homogeneity

    P.K. Saha;J.K. Udupa

  • Fuzzy connectedness and image segmentation

    J.K. Udupa;P.K. Saha

  • Digital Topological Analysis of In Vivo Magnetic Resonance Microimages of Trabecular Bone Reveals Structural Implications of Osteoporosis

    Felix W. Wehrli;Bryon R. Gomberg;Punam K. Saha;Hee Kwon Song

  • Quantitative MRI for the assessment of bone structure and function.

    Felix W. Wehrli;Hee Kwon Song;Punam K. Saha;Alexander C. Wright

  • 3D Digital Topology under Binary Transformation with Applications

    P.K. Saha;B.B. Chaudhuri

  • Role of magnetic resonance for assessing structure and function of trabecular bone.

    Felix W Wehrli;Punam K Saha;Bryon R Gomberg;Hee Kwon Song

  • A new shape preserving parallel thinning algorithm for 3D digital images

    Punam K. Saha;Bidyut Baran Chaudhuri;D. Dutta Majumder

  • Detection of 3-D simple points for topology preserving transformations with application to thinning

    P.K. Saha;B.B. Chaudhuri

  • Quantification of the Roles of Trabecular Microarchitecture and Trabecular Type in Determining the Elastic Modulus of Human Trabecular Bone

    Xiaowei S Liu;Paul Sajda;Punam K Saha;Felix W Wehrli

  • Disclaimer: "Relative fuzzy connectedness and object definition: theory, algorithms, and applications in image segmentation"

    J.K. Udupa;P.K. Saha;R.A. Lotufo

  • Fuzzy distance transform: theory, algorithms, and applications

    Punam K. Saha;Felix W. Wehrli;Bryon R. Gomberg

  • Methodology for evaluating image-segmentation algorithms

    Jayaram K. Udupa;Vicki R. LaBlanc;Hilary Schmidt;Celina Imielinska

  • Breast tissue density quantification via digitized mammograms

    P.K. Saha;J.K. Udupa;E.F. Conant;D.P. Chakraborty

  • CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE)

    Chenyu You;Guang Li;Yi Zhang;Xiaoliu Zhang

  • Topological analysis of trabecular bone MR images

    B.R. Gomberg;P.K. Saha;Hee Kwon Song;S.N. Hwang

  • Measurement of trabecular bone thickness in the limited resolution regime of in vivo MRI by fuzzy distance transform

    P.K. Saha;F.W. Wehrli

  • Three-dimensional digital topological characterization of cancellous bone architecture

    Punam K. Saha;Bryon R. Gomberg;Felix W. Wehrli

Frequent Co-Authors

Jayaram K. Udupa
Jayaram K. Udupa University of Pennsylvania
Mita Nasipuri
Mita Nasipuri Jadavpur University
Milan Sonka
Milan Sonka University of Iowa
Azriel Rosenfeld
Azriel Rosenfeld University of Maryland, College Park
Ziyue Xu
Ziyue Xu Nvidia (United States)
Ram Sarkar
Ram Sarkar Jadavpur University
Nibaran Das
Nibaran Das Jadavpur University
Bidyut B. Chaudhuri
Bidyut B. Chaudhuri Indian Statistical Institute
Paul Sajda
Paul Sajda Columbia University
Le T. Duong
Le T. Duong MSD (United States)

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