Joseph Bae

23 papers A* 2Journal 12Unranked 9
YearRankTypeTitle / Venue / Authors
2024 — conf
HoG-Net: Hierarchical Multi-organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images.
MICCAI (5)
Joseph Bae, Saarthak Kapse, Lei Zhou, Kartik Mani, Prateek Prasanna
2024 — conf
SAMU: An Efficient and Promptable Foundation Model for Medical Image Segmentation.
MedAGI@MICCAI
Joseph Bae, Xueqi Guo, Halid Ziya Yerebakan, Yoshihisa Shinagawa, Sepehr Farhand
2023 — conf
Context-Aware Sit-Stand Desk for Promoting Healthy and Productive Behaviors.
UIST (Adjunct Volume)
Donghan Hu, Joseph Bae, Sol Ie Lim, Sang Won Lee
2023 J jnl
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation.
CoRR
Aishik Konwer, Xiaoling Hu, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna
2023 A* conf
Enhancing Modality-Agnostic Representations via Meta-learning for Brain Tumor Segmentation.
ICCV
Aishik Konwer, Xiaoling Hu, Joseph Bae, Xuan Xu, Chao Chen, Prateek Prasanna
2023 — conf
Self Pre-Training with Masked Autoencoders for Medical Image Classification and Segmentation.
ISBI
Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna
2023 — conf
Token Sparsification for Faster Medical Image Segmentation.
IPMI
Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna
2023 J jnl
Token Sparsification for Faster Medical Image Segmentation.
CoRR
Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna
2022 J jnl
Lung Swapping Autoencoder: Learning a Disentangled Structure-texture Representation of Chest Radiographs.
CoRR
Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Amit Gupta, Dimitris Samaras, Prateek Prasanna
2022 J jnl
Self Pre-training with Masked Autoencoders for Medical Image Analysis.
CoRR
Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna
2022 A* conf
Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations.
CVPR
Aishik Konwer, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna
2022 J jnl
Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations.
CoRR
Aishik Konwer, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna
2021 — conf
Attention-Based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction.
MICCAI (5)
Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Prateek Prasanna
2021 J jnl
Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction.
CoRR
Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Prateek Prasanna
2021 J jnl
COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms.
CoRR
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 J jnl
COVID-19 Tests Gone Rogue: Privacy, Efficacy, Mismanagement and Misunderstandings.
CoRR
Manuel Morales, Rachel Barbar, Darshan Gandhi, Sanskruti Landage, Joseph Bae, Arpita Vats, Jil Kothari, Sheshank Shankar, Rohan Sukumaran, Himi Mathur, Krutika Misra, Aishwarya Saxena, Parth Patwa, Sethuraman T. V., Maurizio Arseni, Shailesh Advani, Kasia Jakimowicz, Sunaina Anand, Priyanshi Katiyar, Ashley Mehra, Rohan Iyer, Srinidhi Murali, Aryan Mahindra, Mikhail Dmitrienko, Saurish Srivastava, Ananya Gangavarapu, Steve Penrod, Vivek Sharma, Abhishek Singh, Ramesh Raskar
2021 — conf
Chest Radiograph Disentanglement for COVID-19 Outcome Prediction.
MICCAI (7)
Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Dimitris Samaras, Prateek Prasanna
2021 — conf
Evolution of chest radiograph radiomics and association with respiratory and inflammatory parameters in COVID-19 patients undergoing prone ventilation: preliminary findings.
Computer-Aided Diagnosis
Connor Cowan, Joseph Bae, Gagandeep Singh, Rohit Khullar, Shrey Shah, Nikhil Madan, Prateek Prasanna
2021 J jnl
MIT SafePaths Card (MiSaCa): Augmenting Paper Based Vaccination Cards with Printed Codes.
CoRR
Joseph Bae, Rohan Sukumaran, Sheshank Shankar, Saurish Srivastava, Rohan Iyer, Aryan Mahindra, Qamil Mirza, Maurizio Arseni, Anshuman Sharma, Saras Agrawal, Orna Mukhopadhyay, Colin Kang, Priyanshi Katiyar, Apurv Shekhar, Sifat Hasan, Krishnendu Dasgupta, Darshan Gandhi, Sethuraman TV, Parth Patwa, Ishaan Singh, Abhishek Singh, Ramesh Raskar
2021 J jnl
Mobile Apps Prioritizing Privacy, Efficiency and Equity: A Decentralized Approach to COVID-19 Vaccination Coordination.
CoRR
Joseph Bae, Rohan Sukumaran, Sheshank Shankar, Anshuman Sharma, Ishaan Singh, Haris Nazir, Colin Kang, Saurish Srivastava, Parth Patwa, Abhishek Singh, Priyanshi Katiyar, Vitor Pamplona, Ramesh Raskar
2021 — conf
Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network.
MIDL
Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Amit Gupta, Chao Chen, Joel H. Saltz, Prateek Prasanna
2020 J jnl
Digital Landscape of COVID-19 Testing: Challenges and Opportunities.
CoRR
Darshan Gandhi, Rohan Sukumaran, Priyanshi Katiyar, Alex Radunsky, Sunaina Anand, Shailesh Advani, Jil Kothari, Kasia Jakimowicz, Sheshank Shankar, Sethuraman T. V., Krutika Misra, Aishwarya Saxena, Sanskruti Landage, Richa Sonker, Parth Patwa, Aryan Mahindra, Mikhail Dmitrienko, Kanishka Vaish, Ashley Mehra, Srinidhi Murali, Rohan Iyer, Joseph Bae, Vivek Sharma, Abhishek Singh, Rachel Barbar, Ramesh Raskar
2020 J jnl
Predicting Mechanical Ventilation Requirement and Mortality in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study.
CoRR
Joseph Bae, Saarthak Kapse, Gagandeep Singh, Tej Phatak, Jeremy Green, Nikhil Madan, Prateek Prasanna