Manuel Tran

According to our database, Manuel Tran authored at least 5 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Navigating Through Whole Slide Images With Hierarchy, Multi-Object, and Multi-Scale Data.

Manuel Tran, Sophia J. Wagner, Wilko Weichert, Christian Matek, Melanie Boxberg, Tingying Peng

IEEE Trans. Medical Imaging, May, 2025

A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics.

Rushin H. Gindra, Giovanni Palla, Mathias Nguyen, Sophia J. Wagner, Manuel Tran, Fabian J. Theis, Dieter Saur, Lorin Crawford, Tingying Peng

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2023

Training Transitive and Commutative Multimodal Transformers with LoReTTa.

Manuel Tran, Yashin Dicente Cid, Amal Lahiani, Fabian J. Theis, Tingying Peng, Eldad Klaiman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

B-Cos Aligned Transformers Learn Human-Interpretable Features.

Manuel Tran, Amal Lahiani, Yashin Dicente Cid, Melanie Boxberg, Peter Lienemann, Christian Matek, Sophia J. Wagner, Fabian J. Theis, Eldad Klaiman, Tingying Peng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

S5CL: Unifying Fully-Supervised, Self-supervised, and Semi-supervised Learning Through Hierarchical Contrastive Learning.

Manuel Tran, Sophia J. Wagner, Melanie Boxberg, Tingying Peng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022