Search Results for author: Corey W. Arnold

Found 11 papers, 7 papers with code

Transformer Lesion Tracker

1 code implementation13 Jun 2022 Wen Tang, Han Kang, Haoyue Zhang, Pengxin Yu, Corey W. Arnold, Rongguo Zhang

Previous methods typically lack the integration of local and global information.

RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans

1 code implementation13 Jun 2022 Pengxin Yu, Haoyue Zhang, Han Kang, Wen Tang, Corey W. Arnold, Rongguo Zhang

In clinical practice, anisotropic volumetric medical images with low through-plane resolution are commonly used due to short acquisition time and lower storage cost.

Medical Diagnosis SSIM +1

Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology

1 code implementation11 Jun 2022 Abhejit Rajagopal, Ekaterina Redekop, Anil Kemisetti, Rushi Kulkarni, Steven Raman, Kirti Magudia, Corey W. Arnold, Peder E. Z. Larson

Early prostate cancer detection and staging from MRI are extremely challenging tasks for both radiologists and deep learning algorithms, but the potential to learn from large and diverse datasets remains a promising avenue to increase their generalization capability both within- and across clinics.

Federated Learning

Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications

no code implementations17 Feb 2022 Kexin Ding, Mu Zhou, Zichen Wang, Qiao Liu, Corey W. Arnold, Shaoting Zhang, Dimitri N. Metaxas

Image-based characterization and disease understanding involve integrative analysis of morphological, spatial, and topological information across biological scales.

Synthesizing MR Image Contrast Enhancement Using 3D High-resolution ConvNets

1 code implementation4 Apr 2021 Chao Chen, Catalina Raymond, Bill Speier, Xinyu Jin, Timothy F. Cloughesy, Dieter Enzmann, Benjamin M. Ellingson, Corey W. Arnold

To alleviate the data imbalance problem between normal tissues and the tumor regions, we introduce a local loss to improve the contribution of the tumor regions, which leads to better enhancement results on tumors.

Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline

1 code implementation11 Dec 2020 Beibin Li, Ezgi Mercan, Sachin Mehta, Stevan Knezevich, Corey W. Arnold, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro

In this study, we propose the Ductal Instance-Oriented Pipeline (DIOP) that contains a duct-level instance segmentation model, a tissue-level semantic segmentation model, and three-levels of features for diagnostic classification.

General Classification Instance Segmentation +1

A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning

no code implementations5 Nov 2020 Jiayun Li, Wenyuan Li, Anthony Sisk, Huihui Ye, W. Dean Wallace, William Speier, Corey W. Arnold

Large numbers of histopathological images have been digitized into high resolution whole slide images, opening opportunities in developing computational image analysis tools to reduce pathologists' workload and potentially improve inter- and intra- observer agreement.

General Classification Image Classification +2

Bidirectional Representation Learning from Transformers using Multimodal Electronic Health Record Data to Predict Depression

1 code implementation26 Sep 2020 Yiwen Meng, William Speier, Michael K. Ong, Corey W. Arnold

We applied the current trend of pretraining and fine-tuning on EHR data to outperform the current state-of-the-art in chronic disease prediction, and to demonstrate the underlying relation between EHR codes in the sequence.

Decision Making Disease Prediction +1

Attention-Guided Discriminative Region Localization and Label Distribution Learning for Bone Age Assessment

1 code implementation30 May 2020 Chao Chen, Zhihong Chen, Xinyu Jin, Lanjuan Li, William Speier, Corey W. Arnold

However, training with the global image underutilizes discriminative local information, while providing extra annotations is expensive and subjective.

Age Estimation

An attention-based multi-resolution model for prostate whole slide imageclassification and localization

no code implementations30 May 2019 Jiayun Li, Wenyuan Li, Arkadiusz Gertych, Beatrice S. Knudsen, William Speier, Corey W. Arnold

The model achieved state-of-the-art performance for prostate cancer grading with an accuracy of 85. 11\% for classifying benign, low-grade (Gleason grade 3+3 or 3+4), and high-grade (Gleason grade 4+3 or higher) slides on an independent test set.

General Classification Multiple Instance Learning

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