Cristian A Linte

Affiliations
  • Center for Imaging Science, Rochester Institute of Technology, NY, USA.
  • Biomedical Engineering, Rochester Institute of Technology, NY, USA.

Publications (44)

An Adversarial Network Architecture Using 2D U-Net Models for Segmentation of Left Ventricle from Cine Cardiac MRI.

Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH

Motion Extraction of the Right Ventricle from 4D Cardiac Cine MRI Using A Deep Learning-Based Deformable Registration Framework.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Dense Depth Estimation from Stereo Endoscopy Videos Using Unsupervised Optical Flow Methods.

Medical image understanding and analysis : 25th Annual Conference, MIUA 2021, Oxford, United Kingdom, July 12-14, 2021, Proceedings. Medical Image Understanding and Analysis (Conference) (25th : 2021 : Online)

A Supervised Image Registration Approach for Late Gadolinium Enhanced MRI and Cine Cardiac MRI Using Convolutional Neural Networks.

Medical image understanding and analysis : 24th Annual Conference, MIUA 2020, Oxford, UK, July 15-17, 2020, Proceedings. Medical Image Understanding and Analysis (Conference) (24th : 2020 : Online)

L-CO-Net: Learned Condensation-Optimization Network for Segmentation and Clinical Parameter Estimation from Cardiac Cine MRI.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Left Ventricle Segmentation and Quantification from Cardiac Cine MR Images via Multi-task Learning.

Statistical atlases and computational models of the heart. STACOM (Workshop)

Transitive Inverse Consistent Rigid Longitudinal Registration of Diffusion Weighted Magnetic Resonance Imaging: A Case Study in Athletes With Repetitive Non-Concussive Head Injuries.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

A 3D Convolutional Neural Network with Gradient Guidance for Image Super-Resolution of Late Gadolinium Enhanced Cardiac MRI.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instruments from Laparoscopic Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Toward an Affine Feature-Based Registration Method for Ground Glass Lung Nodule Tracking.

VipIMAGE 2019 : proceedings of the VII ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, October 16-18, 2019, Porto, Portugal. VipIMAGE (Conference) (2019 : Porto, Portugal)

A Statistical Shape Model Approach for Computing Left Ventricle Volume and Ejection Fraction Using Multi-plane Ultrasound Images.

VipIMAGE 2019 : proceedings of the VII ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, October 16-18, 2019, Porto, Portugal. VipIMAGE (Conference) (2019 : Porto, Portugal)

Joint Segmentation and Uncertainty Estimation of Ventricular Structures from Cardiac MRI using a Bayesian CondenseUNet.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Endoscope Localization and Dense Surgical Scene Reconstruction for Stereo Endoscopy by Unsupervised Optical Flow and Kanade-Lucas-Tomasi Tracking.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Investigating Transformer Encoding Techniques to Improve Data-Driven Volume-to-Surface Liver Registration for Image-Guided Navigation.

Data engineering in medical imaging : first MICCAI Workshop, DEMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. DEMI (Workshop) (1st : 2023 : Vancouver, B.C.)

Improving Medical Image Classification in Noisy Labels Using only Self-supervised Pretraining.

Data engineering in medical imaging : first MICCAI Workshop, DEMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. DEMI (Workshop) (1st : 2023 : Vancouver, B.C.)

Réseau de co-auteurs

Richard Simon 13 collaborations
S M Kamrul Hasan 11 collaborations
Roshan Reddy Upendra 11 collaborations
Shusil Dangi 7 collaborations
Suzanne M Shontz 6 collaborations
Zixin Yang 5 collaborations
Karl Q Schwarz 4 collaborations
Brian Jamison Wentz 3 collaborations
Bidur Khanal 3 collaborations
Bishesh Khanal 3 collaborations
María Helguera 3 collaborations
Nathan D Cahill 3 collaborations
Richard A Simon 3 collaborations
Dawei Liu 3 collaborations
Niels F Otani 2 collaborations
Fariba Mohammadi 2 collaborations
Yehuda K Ben-Zikri 2 collaborations
Ziv Yaniv 2 collaborations
Binod Bhattarai 2 collaborations
Isabelle Peck 2 collaborations
Christopher B Beam 1 collaboration
Michael S Sacks 1 collaboration
Yangming Li 1 collaboration
Jeffrey H Siewerdsen 1 collaboration
David Fetzer 1 collaboration
David A Shrier 1 collaboration
Stephen R Aylward 1 collaboration
Deepak Chittajallu 1 collaboration
Marc Niethammer 1 collaboration
Utsav Ratna Tuladhar 1 collaboration
Michael S Richards 1 collaboration
Harshkumar S Prajapati 1 collaboration
Kian Merchant-Borna 1 collaboration
Jeffrey J Bazarian 1 collaboration
Danail Stoyanov 1 collaboration
Dylan Dang 1 collaboration
Christopher Beam 1 collaboration
Brian Wentz 1 collaboration
Sabu Thomas 1 collaboration
Mohamed Almekkawy 1 collaboration
Jie Chen 1 collaboration
Michael D Ellis 1 collaboration
Dieter Haemmerich 1 collaboration
David R Holmes 1 collaboration
Dorin Panescu 1 collaboration
John Pearce 1 collaboration
Punit Prakash 1 collaboration
Vesna Zderic 1 collaboration
Ziv R Yaniv 1 collaboration
Karl Baum 1 collaboration
Golnaz Jalalahmadi 1 collaboration
Yehuda Kfir Ben Zikri 1 collaboration
David Shrier 1 collaboration
Shan Lin 1 collaboration
Nishaki K Mehta 1 collaboration
Kuldeep B Shah 1 collaboration
David E Haines 1 collaboration
Michael Young 1 collaboration