Steve B. Jiang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
7
Active years
2005–2022
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | MICCAI | Octree Boundary Transfiner: Efficient Transformers for Tumor Segmentation Refinement. | Anthony Wang, Ti Bai, Dan Nguyen, Steve B. Jiang |
| 2020 | MICCAI | Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. | Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo P. M. Cruz, Jos Pereira Amorim, Vishal Patel, Badri Roysam, S. Kevin Zhou, Steve B. Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani |
| 2019 | ESANN | Application of deep neural networks for automatic planning in radiation oncology treatments. | Ana M. Barragan-Montero, Dan Nguyen, Weiguo Lu, Mu-Han Lin, Xavier Geets, Edmond Sterpin, Steve B. Jiang |
| 2019 | MICCAI | Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation. | Xiaoqian Jia, Sicheng Wang, Xiao Liang, Anjali Balagopal, Dan Nguyen, Ming Yang, Zhangyang Wang, Jim Xiuquan Ji, Xiaoning Qian, Steve B. Jiang |
| 2019 | MICCAI | Individualized 3D Dose Distribution Prediction Using Deep Learning. | Jianhui Ma, Ti Bai, Dan Nguyen, Michael Folkerts, Xun Jia, Weiguo Lu, Linghong Zhou, Steve B. Jiang |
| 2019 | MICCAI | Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning. | Dan Nguyen, Azar Sadeghnejad-Barkousaraie, Chenyang Shen, Xun Jia, Steve B. Jiang |
| 2019 | MICCAI | Using Supervised Learning and Guided Monte Carlo Tree Search for Beam Orientation Optimization in Radiation Therapy. | Azar Sadeghnejad-Barkousaraie, Olalekan P. Ogunmolu, Steve B. Jiang, Dan Nguyen |
| 2019 | MICCAI | A Novel Deep Learning Framework for Standardizing the Label of OARs in CT. | Qiming Yang, Hongyang Chao, Dan Nguyen, Steve B. Jiang |
| 2018 | WAFR | Deep BOO! Automating Beam Orientation Optimization in Intensity-Modulated Radiation Therapy. | Olalekan P. Ogunmolu, Michael Folkerts, Dan Nguyen, Nicholas R. Gans, Steve B. Jiang |
| 2017 | IROS | Soft-NeuroAdapt: A 3-DOF neuro-adaptive patient pose correction system for frameless and maskless cancer radiotherapy. | Olalekan P. Ogunmolu, Adwait Kulkarni, Yonas Tadesse, Xuejun Gu, Steve B. Jiang, Nicholas R. Gans |
| 2010 | MICCAI | 4D Computed Tomography Reconstruction from Few-Projection Data via Temporal Non-local Regularization. | Xun Jia, Yifei Lou, Bin Dong, Zhen Tian, Steve B. Jiang |
| 2010 | MICCAI | Single-Projection Based Volumetric Image Reconstruction and 3D Tumor Localization in Real Time for Lung Cancer Radiotherapy. | Ruijiang Li, Xun Jia, John H. Lewis, Xuejun Gu, Michael Folkerts, Chunhua Men, Steve B. Jiang |
| 2009 | ICMLA | A Dynamic CT Image Reconstruction Method by Inducing Prior Information from PCA Analysis. | Xun Jia, Yifei Lou, Ruijiang Li, Xuejun Gu, John Levis, Steve B. Jiang |
| 2009 | ICMLA | Markerless Fluoroscopic Gating for Lung Cancer Radiotherapy Using Generalized Linear Discriminant Analysis. | Ruijiang Li, John H. Lewis, Steve B. Jiang |
| 2008 | ICMLA | Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques. | Tong Lin, Laura I. Cervino, Xiaoli Tang, Nuno Vasconcelos, Steve B. Jiang |
| 2008 | ICMLA | Towards On-line Treatment Verification Using cine EPID for Hypofractionated Lung Radiotherapy. | Xiaoli Tang, Tong Lin, Steve B. Jiang |
| 2008 | KDD | Learning methods for lung tumor markerless gating in image-guided radiotherapy. | Ying Cui, Jennifer G. Dy, Gregory C. Sharp, Brian M. Alexander, Steve B. Jiang |
| 2005 | SIGMOD | Subsequence Matching on Structured Time Series Data. | Huanmei Wu, Betty Salzberg, Gregory C. Sharp, Steve B. Jiang, Hiroki Shirato, David R. Kaeli |