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2020 – today
- 2024
[j2]Soumick Chatterjee
, Fatima Saad, Chompunuch Sarasaen, Suhita Ghosh, Valerie Krug, Rupali Khatun, Rahul Mishra, Nirja Desai, Petia Radeva, Georg Rose, Sebastian Stober, Oliver Speck, Andreas Nürnberger:
Exploration of Interpretability Techniques for Deep COVID-19 Classification Using Chest X-ray Images. J. Imaging 10(2): 45 (2024)- [i10]Suhita Ghosh, Tim Thiele, Frederic Lorbeer, Frank Dreyer, Sebastian Stober:
Improving Voice Quality in Speech Anonymization With Just Perception-Informed Losses. CoRR abs/2410.15499 (2024) - [i9]Suhita Ghosh, Mélanie Jouaiti, Arnab Das, Yamini Sinha, Tim Polzehl, Ingo Siegert, Sebastian Stober:
Anonymising Elderly and Pathological Speech: Voice Conversion Using DDSP and Query-by-Example. CoRR abs/2410.15500 (2024) - 2023
- [c5]Suhita Ghosh, Arnab Das, Yamini Sinha, Ingo Siegert, Tim Polzehl, Sebastian Stober:
Emo-StarGAN: A Semi-Supervised Any-to-Many Non-Parallel Emotion-Preserving Voice Conversion. INTERSPEECH 2023: 2093-2097 - [c4]Arnab Das, Suhita Ghosh, Tim Polzehl, Ingo Siegert, Sebastian Stober:
StarGAN-VC++: Towards Emotion Preserving Voice Conversion Using Deep Embeddings. SSW 2023: 81-87 - [i8]Suhita Ghosh, Arnab Das, Yamini Sinha, Ingo Siegert, Tim Polzehl, Sebastian Stober:
Emo-StarGAN: A Semi-Supervised Any-to-Many Non-Parallel Emotion-Preserving Voice Conversion. CoRR abs/2309.07586 (2023) - [i7]Arnab Das, Suhita Ghosh, Tim Polzehl, Sebastian Stober:
StarGAN-VC++: Towards Emotion Preserving Voice Conversion Using Deep Embeddings. CoRR abs/2309.07592 (2023) - [i6]Suhita Ghosh, Yamini Sinha, Ingo Siegert, Sebastian Stober:
Improving Voice Conversion for Dissimilar Speakers Using Perceptual Losses. CoRR abs/2309.08263 (2023) - [i5]Arnab Das, Suhita Ghosh, Sebastian Stober:
PI-RADS v2 Compliant Automated Segmentation of Prostate Zones Using co-training Motivated Multi-task Dual-Path CNN. CoRR abs/2309.12970 (2023) - 2022
- [c3]Suhita Ghosh, Philipp Ernst, Georg Rose, Andreas Nürnberger, Sebastian Stober:
Towards Patient Specific Reconstruction Using Perception-Aware CNN and Planning CT as Prior. ISBI 2022: 1-5 - [i4]Philipp Ernst, Suhita Ghosh, Georg Rose, Andreas Nürnberger:
Dual Branch Prior-SegNet: CNN for Interventional CBCT using Planning Scan and Auxiliary Segmentation Loss. CoRR abs/2205.10353 (2022) - 2021
- [j1]Anneke Meyer, Suhita Ghosh, Daniel Schindele, Martin Schostak, Sebastian Stober, Christian Hansen, Marko Rak:
Uncertainty-aware temporal self-learning (UATS): Semi-supervised learning for segmentation of prostate zones and beyond. Artif. Intell. Medicine 116: 102073 (2021) - [c2]Suhita Ghosh, Andreas Krug, Georg Rose, Sebastian Stober:
Perception-Aware Losses Facilitate CT Denoising and Artifact Removal. ICHMS 2021: 1-6 - [i3]Anneke Meyer, Suhita Ghosh, Daniel Schindele, Martin Schostak, Sebastian Stober, Christian Hansen, Marko Rak:
Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond. CoRR abs/2104.03840 (2021) - [i2]André Ofner, Raihan Kabir Ratul, Suhita Ghosh, Sebastian Stober:
Predictive coding, precision and natural gradients. CoRR abs/2111.06942 (2021) - 2020
- [c1]Sayantan Polley, Suhita Ghosh, Marcus Thiel, Michael Kotzyba, Andreas Nürnberger:
SIMFIC: An Explainable Book Search Companion. ICHMS 2020: 1-6 - [i1]Soumick Chatterjee, Fatima Saad, Chompunuch Sarasaen, Suhita Ghosh, Rupali Khatun, Petia Radeva, Georg Rose, Sebastian Stober, Oliver Speck, Andreas Nürnberger:
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images. CoRR abs/2006.02570 (2020)
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