activity
20192026
most citedRadiopathomics: Integration of radiographic and histologic characteristics for prognostication in glioblastoma

2 citations · 4 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

MorphDistill: Distilling Unified Morphological Knowledge from Pathology Foundation Models for Colorectal Cancer Survival Prediction

Hikmat Khan, Usama Sajjad, Metin N. Gurcan +4

Background: Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide. Accurate survival prediction is essential for treatment stratification, yet exist…

cs.CV2026

Momentum Memory for Knowledge Distillation in Computational Pathology

Yongxin Guo, Hao Lu, Onur C. Koyun +3

Multimodal learning that integrates genomics and histopathology has shown strong potential in cancer diagnosis, yet its clinical translation is hindered by the limited availability…

cs.LG2026

PCA-VAE: Differentiable Subspace Quantization without Codebook Collapse

Hao Lu, Onur C. Koyun, Yongxin Guo +3

Vector-quantized autoencoders deliver high-fidelity latents but suffer inherent flaws: the quantizer is non-differentiable, requires straight-through hacks, and is prone to collaps…

cs.CV2026

Beyond Stationarity: Rethinking Codebook Collapse in Vector Quantization

Hao Lu, Onur C. Koyun, Yongxin Guo +3

Vector Quantization (VQ) underpins many modern generative frameworks such as VQ-VAE, VQ-GAN, and latent diffusion models. Yet, it suffers from the persistent problem of codebook co…

cs.CV2025★ 1 cited

Hyperparameter Optimization and Reproducibility in Deep Learning Model Training

Usman Afzaal, Ziyu Su, Usama Sajjad +4

Reproducibility remains a critical challenge in foundation model training for histopathology, often hindered by software randomness, hardware non-determinism, and inconsistent hype…

cs.CV2025

Morphology-Aware Prognostic model for Five-Year Survival Prediction in Colorectal Cancer from H&E Whole Slide Images

Usama Sajjad, Abdul Rehman Akbar, Ziyu Su +5

Colorectal cancer (CRC) remains the third most prevalent malignancy globally, with approximately 154,000 new cases and 54,000 projected deaths anticipated for 2025. The recent adva…

cs.LG2023★ 1 cited

Machine Learning Based Analytics for the Significance of Gait Analysis in Monitoring and Managing Lower Extremity Injuries

Mostafa Rezapour, Rachel B. Seymour, Stephen H. Sims +3

This study explored the potential of gait analysis as a tool for assessing post-injury complications, e.g., infection, malunion, or hardware irritation, in patients with lower extr…

eess.IV2019★ 2 cited

Radiopathomics: Integration of radiographic and histologic characteristics for prognostication in glioblastoma

Saima Rathore, Muhammad A. Iftikhar, Metin N. Gurcan +1

Both radiographic (Rad) imaging, such as multi-parametric magnetic resonance imaging, and digital pathology (Path) images captured from tissue samples are currently acquired as sta…