Héctor Gómez
Mathematics · Purdue University West Lafayette
Publications
255
Citations
6,628
Est. group size
~11
Recurring co-author estimate
Active years
27
Publishing since 2000
Héctor Gómez works in computational mathematics and mathematical modeling, developing numerical simulation methods that combine physics and biology to study problems such as tumor growth, blood and fluid flow, and droplet behavior in soft or deformable materials. His work often bridges mechanistic (physics-based) modeling with data-driven tools like deep learning, applying these methods to medical imaging problems such as breast and prostate cancer detection. Students in this group would likely engage with both applied mathematics/computational modeling and biomedical applications.
Publication output has fluctuated over the past decade but shows a notable increase in recent years, peaking sharply in 2024 before tapering slightly in 2025-2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Mechanistic multiphysics modeling reveals how blood pulsation drives CSF flow, pressure, and brain deformation under physiological and injection conditions
Fluids and Barriers of the CNS · 2026
- Droplet mobilization in actuated deformable tubes
Physical Review Fluids · 2026
- Hybrid Morphology-Based Tumor Detection from Breast MRI Segmentation Masks
Lecture notes in computer science · 2026
- Droplet mobilization in actuated deformable tubes
Physical Review Fluids · 2026
- Comparative Analysis of Deep Learning Techniques for Breast Tumor Segmentation in DW-MRI Images
Structural integrity · 2026
- Simulating fluid-fluid displacement in a soft capillary tube: How compliance delays interfacial instability and bubble pinch-off
Computer Methods in Applied Mechanics and Engineering · 2025
- Hydrodynamic cavitation with non-condensable gases: A thickened interface method with differentiable non-equilibrium thermodynamics based on van der Waals theory
Journal of Computational Physics · 2025
- Mathematical modeling and simulation of tumor-induced angiogenesis in retinal hemangioblastoma
PLoS Computational Biology · 2025
- Unsupervised Fuzzy C-Means-Based Approach for Automatic Breast Tumor Segmentation in DCE-MRI
2025
- Mathematical Modeling and Simulation of Tumor-Induced Angiogenesis in Retinal Hemangioblastoma
bioRxiv (Cold Spring Harbor Laboratory) · 2025
- Abstract 3685: Virtual Gleason score: Towards personalized predictive identification of prostate cancer risk via integration of clinical and imaging data into spatiotemporal, biomechanistically-informed classifiers
Cancer Research · 2025
- Evaluating the Potential of Non-Contrast Diffusion MRI for Breast Tumor Diagnosis Using Deep Learning Techniques
SSRN Electronic Journal · 2025
- Evaluating the Potential of Apparent Diffusion Coefficient Maps Obtained from Diffusion-Weighted MRI for Breast Cancer Detection Using Deep Learning Techniques
SSRN Electronic Journal · 2025
- Evaluating the potential of apparent diffusion coefficient maps obtained from diffusion-weighted MRI for breast cancer detection using deep learning techniques
SSRN Electronic Journal · 2025
- Cross-Domain Cyberbullying Detection in Spanish: A Transfer Learning Approach with Theatrical Corpora and Adversarial Validation
2025
- Computer Methods in Applied Mechanics and Engineering×18
- Figshare×15
- arXiv (Cornell University)×11
- SSRN Electronic Journal×7
- Cancer Research×6
- Randy Heiland
Mathematics · Indiana University
- John Metzcar
Mathematics · Indiana University
- Heber L. Rocha
Mathematics · Indiana University
- Paul Macklin
Mathematics · Indiana University
- Ruohan Zhang
Mathematics · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile