Joseph Bae

PhD student, State University of New York at Stony Brook

Joined

May 2022

Names

Joseph Bae (Preferred)

Emails

****@stonybrookmedicine.edu (Confirmed)

****@stonybrook.edu (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

PhD student

State University of New York at Stony Brook (stonybrookmedicine.edu)

2020 – Present

MS student

University of Southern California (usc.edu)

2016 – 2018

Advisors, Relations & Conflicts

No relations added

Expertise

Radiomics

2019 – Present

Medical Imaging

2019 – Present

Publications

INRFormer: Neuron Permutation Equivariant Transformer on Implicit Neural Representations
Lei Zhou, Varun Belagali, Joseph Bae, Prateek Prasanna, Dimitris Samaras
- NeurReps 2023 Poster
- Readers: Everyone
Self Pre-training with Masked Autoencoders for Medical Image Analysis
Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna
- 20 Nov 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
Chest radiograph disentanglement for covid-19 outcome prediction
Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Dimitris Samaras, Prateek Prasanna
- 20 Nov 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
Sparse Tokens for Dense Prediction - The Medical Image Segmentation Case
Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna
- 22 Sept 2022 (modified: 13 Feb 2023)
- ICLR 2023 Conference Withdrawn Submission
- Readers: Everyone
Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations
Aishik Konwer, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna
- 2022 (modified: 16 Nov 2022)
- CVPR 2022
- Readers: Everyone
Self Pre-training with Masked Autoencoders for Medical Image Analysis
Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna
- 2022 (modified: 16 Nov 2022)
- CoRR 2022
- Readers: Everyone
Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations
Aishik Konwer, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna
- 2022 (modified: 16 Nov 2022)
- CoRR 2022
- Readers: Everyone
Lung Swapping Autoencoder: Learning a Disentangled Structure-texture Representation of Chest Radiographs
Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Amit Gupta, Dimitris Samaras, Prateek Prasanna
- 2022 (modified: 16 Nov 2022)
- CoRR 2022
- Readers: Everyone
Attention-Based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction
Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Prateek Prasanna
- 2021 (modified: 16 Nov 2022)
- MICCAI (5) 2021
- Readers: Everyone
COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms
Rohan Sukumaran, Parth Patwa, T. V. Sethuraman, Sheshank Shankar, Rishank Kanaparti, Joseph Bae, Yash Mathur, Abhishek Singh, Ayush Chopra, Myungsun Kang, Priya Ramaswamy, Ramesh Raskar
- 2021 (modified: 16 Nov 2022)
- CoRR 2021
- Readers: Everyone

View all 13 publications

Co-Authors

View all 28 co-authors