Benjamin Hamm - RankMe

11 papers Journal 6Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Abstract: Enhancing Deep Learning Methods for Brain Metastasis Detection Through Cross-technique Annotations on SPACE MRI. Bildverarbeitung für die Medizin Tassilo Wald, Benjamin Hamm, Julius Holzschuh, Rami El Shafie, Andreas Kudak, Balint Kovacs, Irada Pflüger, Bastian von Nettelbladt, Constantin Ulrich, Michael Baumgartner, Philipp Vollmuth, Jürgen Debus, Klaus H. Maier-Hein, Thomas Welzel
2025	—	`conf`	Abstract: Client Security Alone Fails in Federated Learning - 2D and 3D Attack Insights. Bildverarbeitung für die Medizin Santhosh Parampottupadam, Ralf Floca, Dimitrios Bounias, Benjamin Hamm, Saikat Roy, Sinem Sav, Maximilian Zenk, Klaus H. Maier-Hein
2025	J	`jnl`	Divide and Conquer: A Large-Scale Dataset and Model for Left-Right Breast MRI Segmentation. CoRR Maximilian Rokuss, Benjamin Hamm, Yannick Kirchhoff, Klaus H. Maier-Hein
2025	J	`jnl`	Inclusive, Differentially Private Federated Learning for Clinical Data. CoRR Santhosh Parampottupadam, Melih Cosgun, Sarthak Pati, Maximilian Zenk, Saikat Roy, Dimitrios Bounias, Benjamin Hamm, Sinem Sav, Ralf Floca, Klaus H. Maier-Hein
2025	J	`jnl`	Kaapana: A Comprehensive Open-Source Platform for Integrating AI in Medical Imaging Research Environments. CoRR Ünal Akünal, Markus Bujotzek, Stefan Denner, Benjamin Hamm, Klaus Kades, Philipp Schader, Jonas Scherer, Marco Nolden, Peter Neher, Ralf Floca, Klaus H. Maier-Hein
2025	J	`jnl`	MeisenMeister: A Simple Two Stage Pipeline for Breast Cancer Classification on MRI. CoRR Benjamin Hamm, Yannick Kirchhoff, Maximilian Rokuss, Klaus H. Maier-Hein
2025	J	`jnl`	VoxTell: Free-Text Promptable Universal 3D Medical Image Segmentation. CoRR Maximilian Rokuss, Moritz Langenberg, Yannick Kirchhoff, Fabian Isensee, Benjamin Hamm, Constantin Ulrich, Sebastian Regnery, Lukas Bauer, Efthimios Katsigiannopulos, Tobias Norajitra, Klaus H. Maier-Hein
2025	J	`jnl`	nnInteractive: Redefining 3D Promptable Segmentation. CoRR Fabian Isensee, Maximilian Rokuss, Lars Krämer, Stefan Dinkelacker, Ashis Ravindran, Florian Stritzke, Benjamin Hamm, Tassilo Wald, Moritz Langenberg, Constantin Ulrich, Jonathan Deissler, Ralf Floca, Klaus H. Maier-Hein
2024	—	`conf`	Efficient Cross-Modality Abdominal Organ Segmentation Using nnU-Net and MIND Descriptors. FLARE@MICCAI Yannick Kirchhoff, Maximilian Rokuss, Benjamin Hamm, Ashis Ravindran, Constantin Ulrich, Klaus H. Maier-Hein, Fabian Isensee
2024	—	`conf`	Efficient Pan-Cancer Lesion Segmentation from Partially Labeled Data with nnU-Net. FLARE@MICCAI Yannick Kirchhoff, Maximilian Rokuss, Benjamin Hamm, Ashis Ravindran, Constantin Ulrich, Klaus H. Maier-Hein, Fabian Isensee
2024	—	`conf`	Optimizing nnU-Net with OpenVINO for Fast CPU Inference in Abdominal Organ Segmentation. FLARE@MICCAI Yannick Kirchhoff, Ashis Ravindran, Maximilian Rokuss, Benjamin Hamm, Constantin Ulrich, Klaus H. Maier-Hein, Fabian Isensee