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2020 – today
- 2022
[j29]Shuai Wang, Yingying Zhu, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Youbao Tang, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images. Medical Image Anal. 77: 102345 (2022)- [j28]Xuelun Shen, Cheng Wang, Xin Li, Yifan Peng, Zijian He, Chenglu Wen, Ming Cheng:
Learning scale awareness in keypoint extraction and description. Pattern Recognit. 121: 108221 (2022) - [j27]Rui Hou
, Yifan Peng, Lars J. Grimm, Yinhao Ren, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo:
Anomaly Detection of Calcifications in Mammography Based on 11, 000 Negative Cases. IEEE Trans. Biomed. Eng. 69(5): 1639-1650 (2022) - [j26]Christoph Ebner, Shohei Mori, Peter Mohr, Yifan Peng, Dieter Schmalstieg, Gordon Wetzstein, Denis Kalkofen:
Video See-Through Mixed Reality with Focus Cues. IEEE Trans. Vis. Comput. Graph. 28(5): 2256-2266 (2022) - [c48]Tingyi Wanyan, Mingquan Lin, Eyal Klang, Kartikeya M. Menon, Faris F. Gulamali, Ariful Azad, Yiye Zhang, Ying Ding, Zhangyang Wang, Fei Wang, Benjamin S. Glicksberg, Yifan Peng:
Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction. BCB 2022: 9:1-9:9 - [c47]Liyan Tang, Shravan Kooragayalu, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau, Yifan Peng:
EchoGen: Generating Conclusions from Echocardiogram Notes. BioNLP@ACL 2022: 359-368 - [c46]Suzanna Schmeelk, Martins Samuel Dogo, Braja Gopal Patra, Yifan Peng:
Classifying Cyber-Risky Clinical Notes by Employing Natural Language Processing. HICSS 2022: 1-7 - [c45]Siddhant Arora, Siddharth Dalmia, Pavel Denisov, Xuankai Chang, Yushi Ueda, Yifan Peng, Yuekai Zhang, Sujay Kumar, Karthik Ganesan, Brian Yan, Ngoc Thang Vu, Alan W. Black, Shinji Watanabe:
ESPnet-SLU: Advancing Spoken Language Understanding Through ESPnet. ICASSP 2022: 7167-7171 - [c44]Yifan Peng, Siddharth Dalmia, Ian R. Lane, Shinji Watanabe:
Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding. ICML 2022: 17627-17643 - [c43]Brian Yan, Patrick Fernandes, Siddharth Dalmia, Jiatong Shi, Yifan Peng, Dan Berrebbi, Xinyi Wang, Graham Neubig, Shinji Watanabe:
CMU's IWSLT 2022 Dialect Speech Translation System. IWSLT@ACL 2022: 298-307 - [c42]Suyeon Choi, Manu Gopakumar, Yifan Peng, Jonghyun Kim, Matthew O'Toole, Gordon Wetzstein:
Time-multiplexed Neural Holography: A Flexible Framework for Holographic Near-eye Displays with Fast Heavily-quantized Spatial Light Modulators. SIGGRAPH (Conference Paper Track) 2022: 32:1-32:9 - [c41]Jonghyun Kim, Manu Gopakumar, Suyeon Choi, Yifan Peng, Ward Lopes, Gordon Wetzstein:
Holographic Glasses for Virtual Reality. SIGGRAPH (Conference Paper Track) 2022: 33:1-33:9 - [c40]Yan Han, Chongyan Chen, Ahmed H. Tewfik, Benjamin S. Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang:
Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop. WACV 2022: 1789-1798 - [i44]Song Wang, Liyan Tang, Mingquan Lin, George Shih, Ying Ding, Yifan Peng:
Prior Knowledge Enhances Radiology Report Generation. CoRR abs/2201.03761 (2022) - [i43]Suzanna Schmeelk, Martins Samuel Dogo, Yifan Peng, Braja Gopal Patra:
Classifying Cyber-Risky Clinical Notes by Employing Natural Language Processing. CoRR abs/2203.12781 (2022) - [i42]Song Wang, Mingquan Lin, Ying Ding, George Shih, Zhiyong Lu, Yifan Peng:
Radiology Text Analysis System (RadText): Architecture and Evaluation. CoRR abs/2204.09599 (2022) - [i41]Suyeon Choi, Manu Gopakumar, Yifan Peng, Jonghyun Kim, Matthew O'Toole, Gordon Wetzstein:
Time-multiplexed Neural Holography: A flexible framework for holographic near-eye displays with fast heavily-quantized spatial light modulators. CoRR abs/2205.02367 (2022) - [i40]Yifan Peng, Siddharth Dalmia, Ian R. Lane, Shinji Watanabe:
Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding. CoRR abs/2207.02971 (2022) - [i39]Yan Han, Gregory Holste, Ying Ding, Ahmed H. Tewfik, Yifan Peng, Zhangyang Wang:
Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays. CoRR abs/2207.04394 (2022) - 2021
- [j25]Qingyu Chen, Tiarnan D. L. Keenan, Alexis Allot, Yifan Peng, Elvira Agrón, Amitha Domalpally, Caroline C. W. Klaver, Daniel T. Luttikhuizen, Marcus H. Colyer, Catherine A. Cukras, Henry E. Wiley, M. Teresa Magone, Chantal Cousineau-Krieger, Wai T. Wong, Yingying Zhu, Emily Y. Chew, Zhiyong Lu:
Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration. J. Am. Medical Informatics Assoc. 28(6): 1135-1148 (2021) - [j24]Yifan Peng, Yuxing Tang, Sungwon Lee, Yingying Zhu, Ronald M. Summers, Zhiyong Lu:
COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature. IEEE Trans. Big Data 7(1): 3-12 (2021) - [j23]Angshuman Paul, Thomas C. Shen, Sungwon Lee, Niranjan Balachandar, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training. IEEE Trans. Medical Imaging 40(10): 2642-2655 (2021) - [j22]Ethan Tseng, Ali Mosleh, Fahim Mannan, Karl St. Arnaud, Avinash Sharma, Yifan Peng, Alexander Braun, Derek Nowrouzezahrai, Jean-François Lalonde, Felix Heide:
Differentiable Compound Optics and Processing Pipeline Optimization for End-to-end Camera Design. ACM Trans. Graph. 40(2): 18:1-18:19 (2021) - [j21]Suyeon Choi, Manu Gopakumar, Yifan Peng, Jonghyun Kim, Gordon Wetzstein:
Neural 3D holography: learning accurate wave propagation models for 3D holographic virtual and augmented reality displays. ACM Trans. Graph. 40(6): 240:1-240:12 (2021) - [c39]Peng Su, Yifan Peng, K. Vijay-Shanker:
Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction. BioNLP@NAACL-HLT 2021: 1-10 - [c38]Hayato Ikoma, Cindy M. Nguyen, Christopher A. Metzler, Yifan Peng, Gordon Wetzstein:
Depth from Defocus with Learned Optics for Imaging and Occlusion-aware Depth Estimation. ICCP 2021: 1-12 - [c37]Ajay Jaiswal, Tianhao Li, Cyprian Zander, Yan Han, Justin F. Rousseau, Yifan Peng, Ying Ding:
SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata. ICDM 2021: 1132-1137 - [c36]Mingquan Lin, Song Wang, Ying Ding, Lihui Zhao, Fei Wang, Yifan Peng:
An empirical study of using radiology reports and images to improve ICU-mortality prediction. ICHI 2021: 497-498 - [c35]Yan Han, Chongyan Chen, Ahmed H. Tewfik, Ying Ding, Yifan Peng:
Pneumonia Detection On Chest X-Ray Using Radiomic Features And Contrastive Learning. ISBI 2021: 247-251 - [c34]Angshuman Paul, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Learning Few-Shot Chest X-Ray Diagnosis Using Images From The Published Scientific Literature. ISBI 2021: 344-348 - [c33]Zhanghexuan Ji, Mohammad Abuzar Shaikh, Dana Moukheiber, Sargur N. Srihari, Yifan Peng, Mingchen Gao:
Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment. MLMI@MICCAI 2021: 110-119 - [c32]Tejas Sudharshan Mathai, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Detection of Lymph Nodes in T2 MRI Using Neural Network Ensembles. MLMI@MICCAI 2021: 682-691 - [c31]Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin F. Rousseau, Yifan Peng, Ying Ding:
RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification. ML4H@NeurIPS 2021: 196-208 - [c30]Hyun Gi Lee, Evan Sholle, Ashley Beecy, Subhi Al'Aref, Yifan Peng:
Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortality. NAACL-HLT 2021: 4533-4538 - [i38]Yunjin Zhang, Rui Wang, Yifan Peng, Wei Hua, Hujun Bao:
Color Contrast Enhanced Rendering for Optical See-through Head-mounted Displays. CoRR abs/2101.02847 (2021) - [i37]Yan Han, Chongyan Chen, Ahmed H. Tewfik, Ying Ding, Yifan Peng:
Pneumonia Detection on Chest X-ray using Radiomic Features and Contrastive Learning. CoRR abs/2101.04269 (2021) - [i36]Yan Han, Chongyan Chen, Ahmed H. Tewfik, Benjamin S. Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang:
Cross-Modal Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop. CoRR abs/2104.04968 (2021) - [i35]Peng Su, Yifan Peng, K. Vijay-Shanker:
Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction. CoRR abs/2104.13913 (2021) - [i34]Hyun Gi Lee, Evan Sholle, Ashley Beecy, Subhi Al'Aref, Yifan Peng:
Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortality. CoRR abs/2105.01009 (2021) - [i33]Yitao Shen, Yue Wang, Xingyu Lu, Feng Qi, Jia Yan, Yixiang Mu, Yao Yang, Yifan Peng, Jinjie Gu:
A framework for massive scale personalized promotion. CoRR abs/2108.12100 (2021) - [i32]Zhanghexuan Ji, Mohammad Abuzar Shaikh, Dana Moukheiber, Sargur N. Srihari, Yifan Peng, Mingchen Gao:
Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment. CoRR abs/2109.01949 (2021) - [i31]Ajay Jaiswal, Tianhao Li, Cyprian Zander, Yan Han, Justin F. Rousseau, Yifan Peng, Ying Ding:
SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata. CoRR abs/2110.14787 (2021) - [i30]Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin F. Rousseau, Yifan Peng, Ying Ding:
RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification. CoRR abs/2110.15426 (2021) - [i29]Tejas Sudharshan Mathai, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Lymph Node Detection in T2 MRI with Transformers. CoRR abs/2111.04885 (2021) - [i28]Siddhant Arora, Siddharth Dalmia, Pavel Denisov, Xuankai Chang, Yushi Ueda, Yifan Peng, Yuekai Zhang, Sujay Kumar, Karthik Ganesan, Brian Yan, Ngoc Thang Vu, Alan W. Black, Shinji Watanabe:
ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet. CoRR abs/2111.14706 (2021) - [i27]Mehmet Efruz Karabulut, K. Vijay-Shanker, Yifan Peng:
CU-UD: text-mining drug and chemical-protein interactions with ensembles of BERT-based models. CoRR abs/2112.03004 (2021) - 2020
- [j20]Qilin Sun, Jian Zhang, Xiong Dun, Bernard Ghanem, Yifan Peng, Wolfgang Heidrich:
End-to-end Learned, Optically Coded Super-resolution SPAD Camera. ACM Trans. Graph. 39(2): 9:1-9:14 (2020) - [j19]Yifan Peng, Suyeon Choi, Nitish Padmanaban, Gordon Wetzstein:
Neural holography with camera-in-the-loop training. ACM Trans. Graph. 39(6): 185:1-185:14 (2020) - [c29]Yifan Peng, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yuxing Tang, Qingyu Chen, Shuai Wang, Yingying Zhu, Ronald M. Summers, Zhiyong Lu:
Automatic recognition of abdominal lymph nodes from clinical text. ClinicalNLP@EMNLP 2020: 101-110 - [c28]Gordon Wetzstein, Hayato Ikoma, Christopher A. Metzler, Yifan Peng:
Deep Optics: Learning Cameras and Optical Computing Systems. ACSSC 2020: 1313-1315 - [c27]Qingyu Chen, Tiarnan D. Keenan, Yifan Peng, Elvira Agrón, Christopher Hwang, Alisa T. Thavikulwat, Debora Lee, Wai T. Wong, Emily Y. Chew, Zhiyong Lu:
Detection of reticular pseudodrusen using deep learning. AMIA 2020 - [c26]Yifan Peng, Qingyu Chen, Zhiyong Lu:
An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining. BioNLP 2020: 205-214 - [c25]Christopher A. Metzler, Hayato Ikoma, Yifan Peng, Gordon Wetzstein:
Deep Optics for Single-Shot High-Dynamic-Range Imaging. CVPR 2020: 1372-1382 - [c24]Angshuman Paul, Thomas C. Shen, Niranjan Balachandar, Yuxing Tang, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 103-111 - [c23]Yifan (Evan) Peng, Ashok Veeraraghavan, Wolfgang Heidrich, Gordon Wetzstein:
Deep optics: joint design of optics and image recovery algorithms for domain specific cameras. SIGGRAPH Courses 2020: 7:1-7:133 - [c22]Yifan Peng, Suyeon Choi, Nitish Padmanaban, Jonghyun Kim, Gordon Wetzstein:
Neural Holography. SIGGRAPH Emerging Technologies 2020: 8:1-8:2 - [i26]Yifan Peng, Qingyu Chen, Zhiyong Lu:
An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining. CoRR abs/2005.02799 (2020) - [i25]Yifan Peng, Yuxing Tang, Sungwon Lee, Yingying Zhu, Ronald M. Summers, Zhiyong Lu:
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature. CoRR abs/2006.06177 (2020) - [i24]Xing He, Rui Zhang, Jordan Alpert, Sicheng Zhou, Terrence J. Adam, Aantaki Raisa, Yifan Peng, Hansi Zhang, Jiang Bian:
When text simplification is not enough: could a graph-based visualization facilitate consumers' comprehension of dietary supplement information? CoRR abs/2007.02333 (2020) - [i23]Yifan Peng, Tiarnan D. Keenan, Qingyu Chen, Elvira Agrón, Alexis Allot, Wai T. Wong, Emily Y. Chew, Zhiyong Lu:
Predicting risk of late age-related macular degeneration using deep learning. CoRR abs/2007.09550 (2020) - [i22]Lana Yeganova, Rezarta Islamaj Dogan, Qingyu Chen, Robert Leaman, Alexis Allot, Chih-Hsuan Wei, Donald C. Comeau, Won Kim, Yifan Peng, W. John Wilbur, Zhiyong Lu:
Navigating the landscape of COVID-19 research through literature analysis: A bird's eye view. CoRR abs/2008.03397 (2020) - [i21]Suyeon Choi, Jonghyun Kim, Yifan Peng, Gordon Wetzstein:
Michelson Holography: Dual-SLM Holography with Camera-in-the-loop Optimization. CoRR abs/2009.09302 (2020) - [i20]Yifan Peng, Lin Lin, Lexing Ying, Leonardo Zepeda-Núñez:
Efficient Long-Range Convolutions for Point Clouds. CoRR abs/2010.05295 (2020) - [i19]Qingyu Chen, Tiarnan D. L. Keenan, Alexis Allot, Yifan Peng, Elvira Agrón, Amitha Domalpally, Caroline C. W. Klaver, Daniel T. Luttikhuizen, Marcus H. Colyer, Catherine A. Cukras, Henry E. Wiley, M. Teresa Magone, Chantal Cousineau-Krieger, Wai T. Wong, Yingying Zhu, Emily Y. Chew, Zhiyong Lu:
Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration. CoRR abs/2011.05142 (2020) - [i18]Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Ying Ding, Yifan Peng:
Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays. CoRR abs/2011.12506 (2020)
2010 – 2019
- 2019
- [j18]Jingcheng Du, Qingyu Chen, Yifan Peng, Yang Xiang, Cui Tao, Zhiyong Lu:
ML-Net: multi-label classification of biomedical texts with deep neural networks. J. Am. Medical Informatics Assoc. 26(11): 1279-1285 (2019) - [j17]Praneeth Chakravarthula, Yifan Peng, Joel S. Kollin, Henry Fuchs, Felix Heide:
Wirtinger holography for near-eye displays. ACM Trans. Graph. 38(6): 213:1-213:13 (2019) - [j16]Nitish Padmanaban, Yifan Peng, Gordon Wetzstein:
Holographic near-eye displays based on overlap-add stereograms. ACM Trans. Graph. 38(6): 214:1-214:13 (2019) - [j15]Yifan Peng, Qilin Sun, Xiong Dun, Gordon Wetzstein, Wolfgang Heidrich, Felix Heide:
Learned large field-of-view imaging with thin-plate optics. ACM Trans. Graph. 38(6): 219:1-219:14 (2019) - [c21]Yifan Peng, Tiarnan D. Keenan, Qingyu Chen, Elvira Agrón, Wai T. Wong, Emily Y. Chew, Zhiyong Lu:
A deep learning-based survival model for prediction of progression in late Age-related Macular Degeneration (AMD) from color fundus photographs. AMIA 2019 - [c20]Yifan Peng, Shankai Yan, Zhiyong Lu:
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets. BioNLP@ACL 2019: 58-65 - [c19]Ke Yan, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers:
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology. CVPR 2019: 8523-8532 - [c18]Qingyu Chen, Yifan Peng, Zhiyong Lu:
BioSentVec: creating sentence embeddings for biomedical texts. ICHI 2019: 1-5 - [c17]Yifan Peng, Ke Yan, Veit Sandfort, Ronald M. Summers, Zhiyong Lu:
A self-attention based deep learning method for lesion attribute detection from CT reports. ICHI 2019: 1-5 - [c16]Ke Yan, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Fine-Grained Lesion Annotation in CT Images With Knowledge Mined From Radiology Reports. ISBI 2019: 285-288 - [c15]Ke Yan, Youbao Tang, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers:
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation. MICCAI (6) 2019: 194-202 - [p2]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers:
ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 369-392 - [p1]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers:
Automatic Classification and Reporting of Multiple Common Thorax Diseases Using Chest Radiographs. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 393-412 - [i17]Ke Yan, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Fine-grained lesion annotation in CT images with knowledge mined from radiology reports. CoRR abs/1903.01505 (2019) - [i16]Ke Yan, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers:
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology. CoRR abs/1904.04661 (2019) - [i15]Yifan Peng, Ke Yan, Veit Sandfort, Ronald M. Summers, Zhiyong Lu:
A self-attention based deep learning method for lesion attribute detection from CT reports. CoRR abs/1904.13018 (2019) - [i14]Tiarnan D. Keenan, Shazia Dharssi, Yifan Peng, Qingyu Chen, Elvira Agrón, Wai T. Wong, Zhiyong Lu, Emily Y. Chew:
A deep learning approach for automated detection of geographic atrophy from color fundus photographs. CoRR abs/1906.03153 (2019) - [i13]Yifan Peng, Shankai Yan, Zhiyong Lu:
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets. CoRR abs/1906.05474 (2019) - [i12]Christopher A. Metzler, Hayato Ikoma, Yifan Peng, Gordon Wetzstein:
Deep Optics for Single-shot High-dynamic-range Imaging. CoRR abs/1908.00620 (2019) - [i11]Ke Yan, Youbao Tang, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers:
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation. CoRR abs/1908.04373 (2019) - 2018
- [j14]Yifan Peng, Anthony Rios, Ramakanth Kavuluru, Zhiyong Lu:
Extracting chemical-protein relations with ensembles of SVM and deep learning models. Database J. Biol. Databases Curation 2018: bay073 (2018) - [j13]Alexis Allot, Yifan Peng, Chih-Hsuan Wei, Kyubum Lee, Lon Phan, Zhiyong Lu:
LitVar: a semantic search engine for linking genomic variant data in PubMed and PMC. Nucleic Acids Res. 46(Webserver-Issue): W530-W536 (2018) - [j12]Vincent Sitzmann, Steven Diamond, Yifan Peng, Xiong Dun, Stephen P. Boyd, Wolfgang Heidrich, Felix Heide, Gordon Wetzstein:
End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging. ACM Trans. Graph. 37(4): 114 (2018) - [c14]Qilin Sun, Xiong Dun, Yifan Peng, Wolfgang Heidrich:
Depth and Transient Imaging With Compressive SPAD Array Cameras. CVPR 2018: 273-282 - [c13]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers:
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays. CVPR 2018: 9049-9058 - [c12]Yifan Peng, Xiong Dun, Qilin Sun, Felix Heide, Wolfgang Heidrich:
Focal sweep imaging with multi-focal diffractive optics. ICCP 2018: 1-8 - [i10]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers:
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays. CoRR abs/1801.04334 (2018) - [i9]Yifan Peng, Anthony Rios, Ramakanth Kavuluru, Zhiyong Lu:
Chemical-protein relation extraction with ensembles of SVM, CNN, and RNN models. CoRR abs/1802.01255 (2018) - [i8]Xiaoran Wang, Yifan Peng, Benwen Zhang:
Comment Generation for Source Code: State of the Art, Challenges and Opportunities. CoRR abs/1802.02971 (2018) - [i7]Qingyu Chen, Yifan Peng, Zhiyong Lu:
BioSentVec: creating sentence embeddings for biomedical texts. CoRR abs/1810.09302 (2018) - [i6]Jingcheng Du, Qingyu Chen, Yifan Peng, Yang Xiang, Cui Tao, Zhiyong Lu:
ML-Net: multi-label classification of biomedical texts with deep neural networks. CoRR abs/1811.05475 (2018) - [i5]Yifan Peng, Shazia Dharssi, Qingyu Chen, Tiarnan D. Keenan, Elvira Agrón, Wai T. Wong, Emily Y. Chew, Zhiyong Lu:
DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs. CoRR abs/1811.07492 (2018) - [i4]Qingyu Chen, Yifan Peng, Tiarnan D. Keenan, Shazia Dharssi, Elvira Agrón, Wai T. Wong, Emily Y. Chew, Zhiyong Lu:
A multi-task deep learning model for the classification of Age-related Macular Degeneration. CoRR abs/1812.00422 (2018) - 2017
- [j11]Yifan Peng, Xiong Dun, Qilin Sun, Wolfgang Heidrich:
Mix-and-match holography. ACM Trans. Graph. 36(6): 191:1-191:12 (2017) - [c11]Yifan Peng, Xiaosong Wang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Zhiyong Lu:
Text Mining Radiology Reports for Deep Learning Radiology Images. AMIA 2017 - [c10]Yifan Peng, Zhiyong Lu:
Deep learning for extracting protein-protein interactions from biomedical literature. BioNLP 2017: 29-38 - [c9]Rezarta Islamaj Dogan, Andrew Chatr-aryamontri, Sun Kim, Chih-Hsuan Wei, Yifan Peng, Donald C. Comeau, Zhiyong Lu:
BioCreative VI Precision Medicine Track: creating a training corpus for mining protein-protein interactions affected by mutations. BioNLP 2017: 171-175 - [c8]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers:
ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases. CVPR 2017: 3462-3471 - [c7]Tiancheng Sun, Yifan Peng, Wolfgang Heidrich:
Revisiting Cross-Channel Information Transfer for Chromatic Aberration Correction. ICCV 2017: 3268-3276 - [i3]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers:
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases. CoRR abs/1705.02315 (2017) - [i2]Yifan Peng, Zhiyong Lu:
Deep learning for extracting protein-protein interactions from biomedical literature. CoRR abs/1706.01556 (2017) - [i1]Yifan Peng, Xiaosong Wang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Zhiyong Lu:
NegBio: a high-performance tool for negation and uncertainty detection in radiology reports. CoRR abs/1712.05898 (2017) - 2016
- [j10]Sun Kim, Rezarta Islamaj Dogan, Andrew Chatr-aryamontri, Christie S. Chang, Rose Oughtred, Jennifer M. Rust, Riza Batista-Navarro, Jacob Carter, Sophia Ananiadou, Sérgio Matos, André Santos, David Campos, José Luís Oliveira, Onkar Singh, Jitendra Jonnagaddala, Hong-Jie Dai, Emily Chia-Yu Su, Yung-Chun Chang, Yu-Chen Su, Chun-Han Chu, Chien Chin Chen, Wen-Lian Hsu, Yifan Peng, Cecilia N. Arighi, Cathy H. Wu, K. Vijay-Shanker, Ferhat Aydin, Zehra Melce Hüsünbeyi, Arzucan Özgür, Soo-Yong Shin, Dongseop Kwon, Kara Dolinski, Mike Tyers, W. John Wilbur, Donald C. Comeau:
BioCreative V BioC track overview: collaborative biocurator assistant task for BioGRID. Database J. Biol. Databases Curation 2016 (2016) - [j9]Yifan Peng, Cecilia N. Arighi, Cathy H. Wu, K. Vijay-Shanker:
BioC-compatible full-text passage detection for protein-protein interactions using extended dependency graph. Database J. Biol. Databases Curation 2016 (2016) - [j8]Chih-Hsuan Wei, Yifan Peng, Robert Leaman, Allan Peter Davis, Carolyn J. Mattingly, Jiao Li, Thomas C. Wiegers, Zhiyong Lu:
Assessing the state of the art in biomedical relation extraction: overview of the BioCreative V chemical-disease relation (CDR) task. Database J. Biol. Databases Curation 2016 (2016) - [j7]