Yiqiu Shen - RankMe

30 papers A* 2Misc 1Journal 24Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula. CoRR Chenruo Liu, Yijun Dong, Yiqiu Shen, Qi Lei
2025	J	`jnl`	Classification in the high dimensional Anisotropic mixture framework: A new take on Robust Interpolation. J. Mach. Learn. Res. Stanislav Minsker, Mohamed Ndaoud, Yiqiu Shen
2025	J	`jnl`	Evaluating Generative AI as an Educational Tool for Radiology Resident Report Drafting. CoRR Antonio Verdone, Aidan Cardall, Fardeen Siddiqui, Motaz Nashawaty, Danielle Rigau, Youngjoon Kwon, Mira Yousef, Shalin Patel, Alex Kieturakis, Eric Kim, Laura Heacock, Beatriu Reig, Yiqiu Shen
2025	J	`jnl`	Leveraging Fine-Tuned Large Language Models for Interpretable Pancreatic Cystic Lesion Feature Extraction and Risk Categorization. CoRR Ebrahim Rasromani, Stella K. Kang, Yanqi Xu, Beisong Liu, Garvit Luhadia, Wan Fung Chui, Felicia L. Pasadyn, Yu Chih Hung, Julie Y. An, Edwin Mathieu, Zehui Gu, Carlos Fernandez-Granda, Ammar A. Javed, Greg D. Sacks, Tamas Gonda, Chenchan Huang, Yiqiu Shen
2025	J	`jnl`	PuzzlePlex: Benchmarking Foundation Models on Reasoning and Planning with Puzzles. CoRR Yitao Long, Yuru Jiang, Hongjun Liu, Yilun Zhao, Jingchen Sun, Yiqiu Shen, Chen Zhao, Arman Cohan, Dennis Shasha
2025	J	`jnl`	Superclass-Guided Representation Disentanglement for Spurious Correlation Mitigation. CoRR Chenruo Liu, Hongjun Liu, Zeyu Lai, Yiqiu Shen, Chen Zhao, Qi Lei
2024	—	`conf`	BURExtract-Llama: An LLM for Clinical Concept Extraction in Breast Ultrasound Reports. MCHM@MM Yuxuan Chen, Haoyan Yang, Hengkai Pan, Fardeen Siddiqui, Antonio Verdone, Qingyang Zhang, Sumit Chopra, Chen Zhao, Yiqiu Shen
2024	J	`jnl`	BURExtract-Llama: An LLM for Clinical Concept Extraction in Breast Ultrasound Reports. CoRR Yuxuan Chen, Haoyan Yang, Hengkai Pan, Fardeen Siddiqui, Antonio Verdone, Qingyang Zhang, Sumit Chopra, Chen Zhao, Yiqiu Shen
2024	J	`jnl`	Fine-Tuning In-House Large Language Models to Infer Differential Diagnosis from Radiology Reports. CoRR Luoyao Chen, Revant Teotia, Antonio Verdone, Aidan Cardall, Lakshay Tyagi, Yiqiu Shen, Sumit Chopra
2024	J	`jnl`	Understanding differences in applying DETR to natural and medical images. CoRR Yanqi Xu, Yiqiu Shen, Carlos Fernandez-Granda, Laura Heacock, Krzysztof J. Geras
2023	J	`jnl`	Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data. CoRR Yiqiu Shen, Jungkyu Park, Frank Yeung, Eliana Goldberg, Laura Heacock, Farah Shamout, Krzysztof J. Geras
2023	A*	`conf`	Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning. CVPR Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda
2022	A*	`conf`	Adaptive Early-Learning Correction for Segmentation from Noisy Annotations. CVPR Sheng Liu, Kangning Liu, Weicheng Zhu, Yiqiu Shen, Carlos Fernandez-Granda
2022	J	`jnl`	Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning. CoRR Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda
2021	J	`jnl`	Adaptive Early-Learning Correction for Segmentation from Noisy Annotations. CoRR Sheng Liu, Kangning Liu, Weicheng Zhu, Yiqiu Shen, Carlos Fernandez-Granda
2021	J	`jnl`	An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. npj Digit. Medicine 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
2021	J	`jnl`	An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. Medical Image Anal. Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Kangning Liu, Sudarshini Tyagi, Laura Heacock, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2021	J	`jnl`	Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms. J. Digit. Imaging Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino, Sungheon Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras
2021	—	`conf`	Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis. MIDL Kangning Liu, Yiqiu Shen, Nan Wu, Jakub Piotr Chledowski, Carlos Fernandez-Granda, Krzysztof J. Geras
2021	J	`jnl`	Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis. CoRR Kangning Liu, Yiqiu Shen, Nan Wu, Jakub Chledowski, Carlos Fernandez-Granda, Krzysztof J. Geras
2020	J	`jnl`	An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. CoRR 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
2020	J	`jnl`	An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization. CoRR Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Kangning Liu, Sudarshini Tyagi, Laura Heacock, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2020	J	`jnl`	Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening. IEEE Trans. Medical Imaging 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
2020	J	`jnl`	Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms. CoRR Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino, Sungheon Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras
2019	J	`jnl`	Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening. CoRR 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
2019	—	`conf`	Globally-Aware Multiple Instance Classifier for Breast Cancer Screening. MLMI@MICCAI Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2019	J	`jnl`	Globally-Aware Multiple Instance Classifier for Breast Cancer Screening. CoRR Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2019	J	`jnl`	Screening Mammogram Classification with Prior Exams. CoRR Jungkyu Park, Jason Phang, Yiqiu Shen, Nan Wu, Sungheon Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2018	Misc	`conf`	Breast Density Classification with Deep Convolutional Neural Networks. ICASSP Nan Wu, Krzysztof J. Geras, Yiqiu Shen, Jingyi Su, Sungheon Gene Kim, Eric Kim, Stacey Wolfson, Linda Moy, Kyunghyun Cho
2017	J	`jnl`	Breast density classification with deep convolutional neural networks. CoRR Nan Wu, Krzysztof J. Geras, Yiqiu Shen, Jingyi Su, Sungheon Gene Kim, Eric Kim, Stacey Wolfson, Linda Moy, Kyunghyun Cho