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Joseph Bae
Observed names:
Bae, Joseph,
J. Bae
Institutions:
Stony Brook University Hospital,
Stony Brook University
Observed institutions:
New America,
Stony Brook University Hospital,
Stony Brook Medicine,
Siemens Healthcare (United States),
Laboratoire de Psychologie,
MIT Media Lab,
Stony Brook University,
Massachusetts Institute of Technology,
Lewis & Clark College
show all 9
ORCID:
0000-0002-9440-6655
Observed ORCID:
0000-0002-9440-6655
OpenAlex ID:
A5003898489
Self Pre-Training with Masked Autoencoders for Medical Image Classification and Segmentation
2023
·
Lei Zhou
, Huidong Liu
, et al.
·
IEEE International Symposium on Biomedical Imaging (ISBI)
·
213
PDF
Predicting Mechanical Ventilation and Mortality in COVID-19 Using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study
2021
·
Joseph Bae
, Saarthak Kapse
, et al.
·
Diagnostics
·
38
PDF
Enhancing Modality-Agnostic Representations via Meta-learning for Brain Tumor Segmentation
2023
·
Aishik Konwer
, Xiaoling Hu
, et al.
·
IEEE/CVF International Conference on Computer Vision (ICCV)
·
33
PDF
Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations
2022
·
Aishik Konwer
, Xuan Xu
, et al.
·
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
·
30
PDF
Intensity-Modulated Radiotherapy for Head-and-Neck Cancer in the Community Setting
2008
·
Steven Seung
, Joseph Bae
, et al.
·
International Journal of Radiation Oncology*Biology*Physics
·
30
Effects of Prone Ventilation on Oxygenation, Inflammation, and Lung Infiltrates in COVID-19 Related Acute Respiratory Distress Syndrome: A Retrospective Cohort Study
2020
·
Rohit Khullar
, Shrey Shah
, et al.
·
Journal of Clinical Medicine
·
21
PDF
New frontiers in domain-inspired radiomics and radiogenomics: increasing role of molecular diagnostics in CNS tumor classification and grading following WHO CNS-5 updates
2024
·
Gagandeep Singh
, Annie Singh
, et al.
·
Cancer Imaging
·
14
Attention-Based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction
2021
·
Aishik Konwer
, Joseph Bae
, et al.
·
Lecture notes in computer science
·
8
PDF
Clinical Landscape of COVID-19 Testing: Difficult Choices
2020
·
Gandhi, Darshan
, Landage, Sanskruti
, et al.
·
arXiv (Cornell University)
·
8
PDF
Lung Swapping Autoencoder: Learning a Disentangled Structure-texture Representation of Chest Radiographs
2022
·
Zhou, Lei
, Bae, Joseph
, et al.
·
arXiv (Cornell University)
·
7
PDF
Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network
2021
·
Aishik Konwer
, Joseph Bae
, et al.
·
Medical Imaging with Deep Learning
·
7
Chest Radiograph Disentanglement for COVID-19 Outcome Prediction
2021
·
Lei Zhou
, Joseph Bae
, et al.
·
Lecture notes in computer science
·
7
Pretreatment Spatially Aware Magnetic Resonance Imaging Radiomics Can Predict Distant Brain Metastases (DBMs) After Stereotactic Radiosurgery/Radiation Therapy (SRS/SRT)
2024
·
Joseph Bae
, Kartik Mani
, et al.
·
Advances in Radiation Oncology
·
5
PDF
Spatial Radiomic Graphs for Outcome Prediction in Radiation Therapy–treated Head and Neck Squamous Cell Carcinoma Using Pretreatment CT
2025
·
Joseph Bae
, Kartik Mani
, et al.
·
Radiology Imaging Cancer
·
4
SAMU: An Efficient and Promptable Foundation Model for Medical Image Segmentation
2024
·
Joseph Bae
, Xueqi Guo
, et al.
·
Lecture notes in computer science
·
4
Digital Landscape of COVID-19 Testing: Challenges and Opportunities
2020
·
Gandhi, Darshan
, Sukumaran, Rohan
, et al.
·
arXiv (Cornell University)
·
4
PDF
HoG-Net: Hierarchical Multi-organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images
2024
·
Joseph Bae
, Saarthak Kapse
, et al.
·
Lecture notes in computer science
·
3
Token Sparsification for Faster Medical Image Segmentation
2023
·
Lei Zhou
, Huidong Liu
, et al.
·
Lecture notes in computer science
·
3
PDF
COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms
2021
·
Rohan Sukumaran
, Parth Patwa
, et al.
·
Journal of Behavioral Data Science
·
2
PDF
Magnetic Resonance Imaging Radiomic Analysis of Radiation-Induced Morphea of the Breast: A Proof-of-Concept Study
2025
·
Jieying Wu
, Joseph Bae
, et al.
·
Advances in Radiation Oncology
·
1
PDF
Correction: New frontiers in domain-inspired radiomics and radiogenomics: increasing role of molecular diagnostics in CNS tumor classification and grading following WHO CNS-5 updates
2024
·
Gagandeep Singh
, Annie Singh
, et al.
·
Cancer Imaging
·
1
PDF
Do Spatial-Radiomics Improve Prediction of Locoregional Recurrence Following Radiotherapy for HNSCC?
2024
·
J. Bae
, K.M. Mani
, et al.
·
International Journal of Radiation Oncology*Biology*Physics
·
1
1544P Pre-treatment CT radiomics predicts survival in chemo-immunotherapy-treated small cell lung cancer
2022
·
J. Bae
, P. Prasanna
, et al.
·
Annals of Oncology
·
1
PDF
Pre-treatment radiomics from radiotherapy dose regions predict distant brain metastases in stereotactic radiosurgery
2022
·
Joseph Bae
, Renee Cattell
, et al.
·
SPIE Medical Imaging: Physics of Medical Imaging
·
1
COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms
2020
·
Sukumaran, Rohan
, Patwa, Parth
, et al.
·
arXiv (Cornell University)
·
1
PDF
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Works count:
30
Citation count:
447
H-index:
8
I10-index:
7
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