Jeremias Sulam

ORCID: 0000-0003-0946-1957

EngineeringComputer ScienceMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 27 papers. Top paper: “Antibody structure prediction using interpretable deep learning”.

Antibody structure prediction using interpretable deep learning

Patterns(2021)10.1016/j.patter.2021.100406

N/A

0.806DataRank · unranked

214 citations

Jeremias Sulam, Jeffrey J. Gray, Jeffrey A. Ruffolo

Geometric potentials from deep learning improve prediction of CDR H3 loop structures

Bioinformatics(2020)10.1093/bioinformatics/btaa457

N/A

0.665DataRank · unranked

83 citations

Carlos Guerra, Sai Pooja Mahajan, Jeremias Sulam, Jeffrey J. Gray, Jeffrey A. Ruffolo

Digital Pathology Analysis Quantifies Spatial Heterogeneity of CD3, CD4, CD8, CD20, and FoxP3 Immune Markers in Triple-Negative Breast Cancer

Frontiers in Physiology(2020)10.3389/fphys.2020.583333

N/A

0.659DataRank · unranked

80 citations

Chang Gong, Jeremias Sulam, Elana J. Fertig, Alexander S. Szalay, Elizabeth M. Jaffee +5 more

Simultaneous multi‐transient linear‐combination modeling of MRS data improves uncertainty estimation

Magnetic Resonance in Medicine(2024)10.1002/mrm.30110

N/A

0.396DataRank · unranked

13 citations

Christopher W. Davies‐Jenkins, Dunja Simičić, Assaf Tal, Jeremias Sulam, Georg Oeltzschner +1 more

Local linearity analysis of deep learning CT denoising algorithms

7th International Conference on Image Formation in X-Ray Computed Tomography(2022)10.1117/12.2646371

N/A

0.292DataRank · unranked

6 citations

Wenying Wang, Matthew Tivnan, Jeremias Sulam, Jerry L. Prince, Michael F. McNitt‐Gray +3 more

Notice of Removal: Fourier Diffusion Models: A Method to Control MTF and NPS in Score-Based Stochastic Image Generation

IEEE Transactions on Medical Imaging(2023)10.1109/tmi.2023.3335339

N/A

0.269DataRank · unranked

5 citations

Jacopo Teneggi, Tzu-Cheng Lee, Ruoqiao Zhang, Kirsten Boedeker, Liang Cai +4 more

Fourier Diffusion Models: A Method to Control MTF and NPS in Score-Based Stochastic Image Generation

IEEE Transactions on Medical Imaging(2025)10.1109/tmi.2025.3553805

N/A

0.208DataRank · unranked

3 citations

Jacopo Teneggi, Tzu-Cheng Lee, Ruoqiao Zhang, Kirsten Boedeker, Liang Cai +4 more

ProxiMO: Proximal Multi-operator Networks for Quantitative Susceptibility Mapping

Lecture notes in computer science(2024)10.1007/978-3-031-78761-4_2

N/A

0.165DataRank · unranked

2 citations

Zhenghan Fang, Hyeong‐Geol Shin, Peter C.M. van Zijl, Xu Li, Jeremias Sulam +1 more

Effect of motion, cortical orientation and spatial resolution on quantitative imaging of cortical R2* and magnetic susceptibility at 0.3 mm in-plane resolution at 7 T

NeuroImage(2023)10.1016/j.neuroimage.2023.119992

N/A

0DataRank · unranked

14 citations

Xu Li, Jacco A. de Zwart, Erin Beck, Serhat V. Okar, Yujia Huang +7 more

DeepSTI: Towards tensor reconstruction using fewer orientations in susceptibility tensor imaging

Medical Image Analysis(2023)10.1016/j.media.2023.102829

N/A

0DataRank · unranked

6 citations

Kuo-Wei Lai, Peter C.M. van Zijl, Xu Li, Jeremias Sulam, Zhenghan Fang

Simultaneous multi-transient linear-combination modeling of MRS data improves uncertainty estimation

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.11.01.565164

N/A

0DataRank · unranked

5 citations

Christopher W. Davies‐Jenkins, Dunja Simičić, Assaf Tal, Jeremias Sulam, Georg Oeltzschner +1 more

What's in a Prior? Learned Proximal Networks for Inverse Problems

arXiv (Cornell University)(2023)10.48550/arxiv.2310.14344

N/A

0DataRank · unranked

1 citations

Sam Buchanan, Jeremias Sulam, Zhenghan Fang

Task-driven CT image quality optimization for low-contrast lesion detectability with tunable neural networks

PubMed(2023)10.1117/12.2653936

N/A

0DataRank · unranked

0 citations

Tzu-Cheng Lee, Ruoqiao Zhang, Kirsten Boedeker, Liang Cai, Jeremias Sulam +2 more

Tunable neural networks for CT image formation

Journal of Medical Imaging(2023)10.1117/1.jmi.10.3.033501

N/A

0DataRank · unranked

0 citations

Grace J. Gang, Wenying Wang, Peter B. Noël, Jeremias Sulam, J. Webster Stayman +1 more

Bi-level Graph Learning Unveils Prognosis-Relevant Tumor Microenvironment Patterns in Breast Multiplexed Digital Pathology

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.04.22.590118

N/A

0DataRank · unranked

1 citations

Cesar A. Santa‐Maria, Aleksander S. Popel, Jeremias Sulam, Zhenzhen Wang

Pitfalls and Best Practices in Evaluation of AI Algorithmic Biases in Radiology

Radiology(2025)10.1148/radiol.241674

N/A

0DataRank · unranked

20 citations

Preetham Bachina, Beepul Bharti, Sean P. Garin, Adway Kanhere, Pranav Kulkarni +6 more

Bi-level graph learning unveils prognosis-relevant tumor microenvironment patterns in breast multiplexed digital pathology

Patterns(2025)10.1016/j.patter.2025.101178

N/A

0DataRank · unranked

1 citations

Cesar A. Santa‐Maria, Aleksander S. Popel, Jeremias Sulam, Zhenzhen Wang

Beyond Scores: Proximal Diffusion Models

PubMed(2025)10.48550/arxiv.2507.08956

N/A

0DataRank · unranked

0 citations

M. A. Diaz, Sam Buchanan, Jeremias Sulam, Zhenghan Fang

Deep Learning in Protein Structural Modeling and Design

Patterns(2020)10.1016/j.patter.2020.100142

N/A

0DataRank · unranked

227 citations

Sai Pooja Mahajan, Jeremias Sulam, Jeffrey J. Gray, Wenhao Gao

Conformal Risk Control for Semantic UncertaintyQuantification in Computed Tomography

Proceedings of the AAAI Symposium Series(2025)10.1609/aaaiss.v7i1.36939

N/A

0DataRank · unranked

0 citations

J. Webster Stayman, Jeremias Sulam, Jacopo Teneggi

Geometric Potentials from Deep Learning Improve Prediction of CDR H3 Loop Structures

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.02.09.940254

N/A

0DataRank · unranked

8 citations

Carlos Guerra, Sai Pooja Mahajan, Jeremias Sulam, Jeffrey J. Gray, Jeffrey A. Ruffolo

Automated in vivo Tracking of Cortical Oligodendrocytes

Frontiers in Cellular Neuroscience(2021)10.3389/fncel.2021.667595

N/A

0DataRank · unranked

13 citations

Cody L. Call, Jeremias Sulam, Dwight E. Bergles, Yu Kang T. Xu

Antibody structure prediction using interpretable deep learning

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.05.27.445982

N/A

0DataRank · unranked

22 citations

Jeremias Sulam, Jeffrey J. Gray, Jeffrey A. Ruffolo

Automated in vivo tracking of cortical oligodendrocytes

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.02.12.430879

N/A

0DataRank · unranked

1 citations

Cody L. Call, Jeremias Sulam, Dwight E. Bergles, Yu Kang T. Xu

Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images

IEEE Transactions on Medical Imaging(2022)10.1109/tmi.2022.3202759

N/A

0DataRank · unranked

34 citations

Carla Saoud, Sintawat Wangsiricharoen, Aaron W. James, Aleksander S. Popel, Jeremias Sulam +1 more

Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors

PubMed(2022)10.48550/arxiv.2207.12497

N/A

0DataRank · unranked

2 citations

Paul H. Yi, Jeremias Sulam, Beepul Bharti

Cross-modality supervised image restoration enables nanoscale tracking of synaptic plasticity in living mice

Nature Methods(2023)10.1038/s41592-023-01871-6

N/A

0DataRank · unranked

21 citations

Austin R. Graves, Gabrielle I Coste, Richard L. Huganir, Dwight E. Bergles, Adam S. Charles +2 more