Yiqiu Shen

According to our database, Yiqiu Shen authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Fine-Tuning In-House Large Language Models to Infer Differential Diagnosis from Radiology Reports.

Luoyao Chen, Revant Teotia, Antonio Verdone, Aidan Cardall, Lakshay Tyagi, Yiqiu Shen, Sumit Chopra

CoRR, 2024

Understanding differences in applying DETR to natural and medical images.

Yanqi Xu, Yiqiu Shen, Carlos Fernandez-Granda, Laura Heacock, Krzysztof J. Geras

CoRR, 2024

BURExtract-Llama: An LLM for Clinical Concept Extraction in Breast Ultrasound Reports.

Yuxuan Chen, Haoyan Yang, Hengkai Pan, Fardeen Siddiqui, Antonio Verdone, Qingyang Zhang, Sumit Chopra, Chen Zhao, Yiqiu Shen

Proceedings of the 1st International Workshop on Multimedia Computing for Health and Medicine, 2024

2023

Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data.

Yiqiu Shen, Jungkyu Park, Frank Yeung, Eliana Goldberg, Laura Heacock, Farah Shamout, Krzysztof J. Geras

CoRR, 2023

Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning.

Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Adaptive Early-Learning Correction for Segmentation from Noisy Annotations.

Sheng Liu, Kangning Liu, Weicheng Zhu, Yiqiu Shen, Carlos Fernandez-Granda

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department.

Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, Jan Witowski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras

npj Digit. Medicine, 2021

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization.

Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Kangning Liu, Sudarshini Tyagi, Laura Heacock, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras

Medical Image Anal., 2021

Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms.

Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino, Sungheon Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras

J. Digit. Imaging, 2021

Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis.

Kangning Liu, Yiqiu Shen, Nan Wu, Jakub Piotr Chledowski, Carlos Fernandez-Granda, Krzysztof J. Geras

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2020

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening.

Nan Wu, Jason Phang, Jungkyu Park, Yiqiu Shen, Zhe Huang, Masha Zorin, Stanislaw Jastrzebski, Thibault Févry, Joe Katsnelson, Eric Kim, Stacey Wolfson, Ujas Parikh, Sushma Gaddam, Leng Leng Young Lin, Kara Ho, Joshua D. Weinstein, Beatriu Reig, Yiming Gao, Hildegard Toth, Kristine Pysarenko, Alana Lewin, Jiyon Lee, Krystal Airola, Eralda Mema, Stephanie Chung, Esther Hwang, Naziya Samreen, Sungheon Gene Kim, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras

IEEE Trans. Medical Imaging, 2020

Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms.

Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino, Sungheon Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras

CoRR, 2020

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department.

Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras

CoRR, 2020

2019

Screening Mammogram Classification with Prior Exams.

Jungkyu Park, Jason Phang, Yiqiu Shen, Nan Wu, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras

CoRR, 2019

Globally-Aware Multiple Instance Classifier for Breast Cancer Screening.

Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2018

Breast Density Classification with Deep Convolutional Neural Networks.

Nan Wu, Krzysztof J. Geras, Yiqiu Shen, Jingyi Su, Sungheon Gene Kim, Eric Kim, Stacey Wolfson, Linda Moy, Kyunghyun Cho

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018