collaborators

8 papers

cs.CV2026

Morphology-aware deep learning predicts colorectal cancer survival from whole-slide images

Hikmat Khan, Metin N. Gurcan, Anil Parwani +3

Background: Five-year survival prediction from hematoxylin-and-eosin whole-slide images could support risk stratification, but the task is weakly supervised, and the tissue morphol…

cs.CV2026

Chart-FR1: Visual Focus-Driven Fine-Grained Reasoning on Dense Charts

Hongkun Pan, Yuwei Wu, Wanyi Hong +8

Multimodal large language models (MLLMs) have shown considerable potential in chart understanding and reasoning tasks. However, they still struggle with high information density (H…

eess.IV2026

Triple-Phase Sequential Fusion Network for Hepatobiliary Phase Liver MRI Synthesis

Qiuli Wang, Xinhuan Sun, Fengxi Chen +7

Gadoxetate disodium-enhanced MRI is essential for the detection and characterization of hepatocellular carcinoma. However, acquisition of the hepatobiliary phase (HBP) requires a p…

cs.CV2026

Dino-NestedUNet: Unlocking Foundation Vision Encoders for Pathology Tumor Bulk Segmentation via Dense Decoding

Tianyang Wang, Ziyu Su, Abdul Rehman Akbar +7

Vision foundation models (VFMs), such as DINOv3, provide rich semantic representations that are promising for computational pathology. However, many current adaptations pair frozen…

cs.CV2026

Unified Multi-Foundation-Model Slide Representation for Pan-Cancer Recognition and Text-Guided Tumor Localization

Tianyang Wang, Ziyu Su, Abdul Rehman Akbar +6

The expanding ecosystem of pathology foundation models has produced powerful but fragmented tile-level representations, limiting their use in clinical tasks that require unified sl…

cs.CV2025

Progressive Translation of H&E to IHC with Enhanced Structural Fidelity

Yuhang Kang, Ziyu Su, Tianyang Wang +3

Compared to hematoxylin-eosin (H&E) staining, immunohistochemistry (IHC) not only maintains the structural features of tissue samples, but also provides high-resolution protein loc…

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.CV2025

Learning the Language of Histopathology Images reveals Prognostic Subgroups in Invasive Lung Adenocarcinoma Patients

Abdul Rehman Akbar, Usama Sajjad, Ziyu Su +5

Recurrence remains a major clinical challenge in surgically resected invasive lung adenocarcinoma, where existing grading and staging systems fail to capture the cellular complexit…