activity
20182026
most citedMedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

35 citations · 50 across the 40 of their papers we have counts for

collaborators

46 papers

cs.CV2026

TRACE: Artifact-Robust Statistical Shape Modeling from Imperfect Surface Scans - A Case Study in Craniosynostosis 3D Photography

Sanjay Bhandari, Nawazish Khan, Alzbeta Novotna +7

Craniosynostosis severity analysis increasingly relies on statistical shape models (SSMs) to quantify cranial morphology, but most existing workflows depend on computed tomography…

cs.CV2026

Inference-Time Orthogonal Seeding Enables Geometry-Aligned 3D Organ Segmentation for Slice-Propagation Methods

Md Rakibul Haque, Tushar Kataria, Shireen Y. Elhabian

Dense voxel-level annotation remains a major bottleneck in 3D medical image segmentation. Single-slice propagation methods such as Sli2Vol reduce this burden by propagating one ann…

cs.CV2026

SCALP: Semi-Supervised Statistical Shape Modeling from Imperfect 3D Photogrammetry via Landmark-Anchored Spectral Warp

Nawazish Khan, Sanjay Bhandari, Sarang Joshi +8

Correspondence-based statistical shape modeling (SSM) is vital for population-level morphometric analysis, but conventional pipelines assume clean, fully registered surfaces. Real-…

cs.LG2026

Timesynth: A Temporal Fidelity Framework for Health Signal Digital Twins

Md Rakibul Haque, Shireen Elhabian, Warren Woodrich Pettine

Forecasting models for health-signal digital twins must preserve the oscillatory, frequency, phase, and state-transition dynamics of physiological signals, yet the pointwise metric…

cs.LG2026

TimeSynth: A Framework for Uncovering Systematic Biases in Time Series Forecasting

Md Rakibul Haque, Vishwa Goudar, Shireen Elhabian +1

Time series forecasting is a fundamental tool with wide ranging applications, yet recent debates question whether complex nonlinear architectures truly outperform simple linear mod…

cs.CV2025

Building Trust in Virtual Immunohistochemistry: Automated Assessment of Image Quality

Tushar Kataria, Shikha Dubey, Mary Bronner +4

Deep learning models can generate virtual immunohistochemistry (IHC) stains from hematoxylin and eosin (H&E) images, offering a scalable and low-cost alternative to laboratory IHC.…