activity
20172024
most citedLung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches

291 citations · 308 across the 5 of their papers we have counts for

collaborators

7 papers

eess.IV2024

Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI

Hongyi Pan, Gorkem Durak, Zheyuan Zhang +16

Federated learning (FL) enables collaborative model training across institutions without sharing sensitive data, making it an attractive solution for medical imaging tasks. However…

eess.IV2023★ 2 cited

Radiomics Boosts Deep Learning Model for IPMN Classification

Lanhong Yao, Zheyuan Zhang, Ugur Demir +14

Intraductal Papillary Mucinous Neoplasm (IPMN) cysts are pre-malignant pancreas lesions, and they can progress into pancreatic cancer. Therefore, detecting and stratifying their ri…

eess.IV2022★ 1 cited

A Critical Appraisal of Data Augmentation Methods for Imaging-Based Medical Diagnosis Applications

Tara M. Pattilachan, Ugur Demir, Elif Keles +7

Current data augmentation techniques and transformations are well suited for improving the size and quality of natural image datasets but are not yet optimized for medical imaging.…

cs.CV2022★ 14 cited

Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images

Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo +9

Early detection of precancerous cysts or neoplasms, i.e., Intraductal Papillary Mucosal Neoplasms (IPMN), in pancreas is a challenging and complex task, and it may lead to a more f…

cs.CV2019

INN: Inflated Neural Networks for IPMN Diagnosis

Rodney LaLonde, Irene Tanner, Katerina Nikiforaki +5

Intraductal papillary mucinous neoplasm (IPMN) is a precursor to pancreatic ductal adenocarcinoma. While over half of patients are diagnosed with pancreatic cancer at a distant sta…

cs.CV2018★ 291 cited

Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches

Sarfaraz Hussein, Pujan Kandel, Candice W. Bolan +2

Risk stratification (characterization) of tumors from radiology images can be more accurate and faster with computer-aided diagnosis (CAD) tools. Tumor characterization through suc…

cs.CV2017

Deep Multi-Modal Classification of Intraductal Papillary Mucinous Neoplasms (IPMN) with Canonical Correlation Analysis

Sarfaraz Hussein, Pujan Kandel, Juan E. Corral +3

Pancreatic cancer has the poorest prognosis among all cancer types. Intraductal Papillary Mucinous Neoplasms (IPMNs) are radiographically identifiable precursors to pancreatic canc…