diff --git a/config/seg_lesion.json b/config/seg_lesion.json
new file mode 100644
index 0000000..e98d05b
--- /dev/null
+++ b/config/seg_lesion.json
@@ -0,0 +1,148 @@
+{
+    "command": "train",
+    "gpu_ids": [0],
+    "path_output": "seg_lesion_output",
+    "model_name": "seg_lesion_model",
+    "debugging": true,
+    "object_detection_params": {
+        "object_detection_path": null,
+        "safety_factor": [1.0, 1.0, 1.0]
+    },
+    "loader_parameters": {
+        "path_data": ["basel-mp2rage-preprocessed/data_processed_lesionseg"],
+        "subject_selection": {
+            "n": [],
+            "metadata": [],
+            "value": []
+        },
+        "target_suffix": [["_lesion-manual", "_lesion-manual2"]],
+        "extensions": [],
+        "roi_params": {
+            "suffix": null,
+            "slice_filter_roi": null
+        },
+        "contrast_params": {
+            "training_validation": ["UNIT1"],
+            "testing": ["UNIT1"],
+            "balance": {}
+        },
+        "slice_filter_params": {
+            "filter_empty_mask": false,
+            "filter_empty_input": false
+        },
+        "slice_axis": "sagittal",
+        "multichannel": false,
+        "soft_gt": false
+    },
+    "split_dataset": {
+        "fname_split": null,
+        "random_seed": 42,
+        "center_test": [],
+        "method": "per_patient",
+        "balance": null,
+        "train_fraction": 0.75,
+        "test_fraction": 0.2
+    },
+    "training_parameters": {
+        "batch_size": 4,
+        "loss": {
+            "name": "DiceLoss"
+        },
+        "training_time": {
+            "num_epochs": 500,
+            "early_stopping_patience": 200,
+            "early_stopping_epsilon": 0.001
+        },
+        "scheduler": {
+            "initial_lr": 1e-3,
+            "lr_scheduler": {
+                "name": "CosineAnnealingLR",
+                "base_lr": 1e-5,
+                "max_lr": 1e-3
+            }
+        },
+        "balance_samples": {
+            "applied": false,
+            "type": "gt"
+        },
+        "mixup_alpha": null,
+        "transfer_learning": {
+            "retrain_model": null,
+            "retrain_fraction": 1.0,
+            "reset": true
+        }
+    },
+    "default_model": {
+        "name": "Unet",
+        "dropout_rate": 0.3,
+        "bn_momentum": 0.1,
+        "depth": 4,
+        "is_2d": false,
+        "final_activation": "sigmoid"
+    },
+    "uncertainty": {
+        "epistemic": false,
+        "aleatoric": false,
+        "n_it": 0
+    },
+    "postprocessing": {"binarize_prediction": {"thr": 0.5}},
+    "evaluation_parameters": {},
+    "transformation": {
+        "Resample": {
+            "wspace": 1.0,
+            "hspace": 1.0,
+            "dspace": 1.0
+        },
+        "CenterCrop": {
+            "size": [128, 64, 32]
+        },
+        "RandomReverse": {
+            "applied_to": ["im", "gt"],
+            "dataset_type": ["training"]
+        },
+        "RandomAffine": {
+            "degrees": 10,
+            "scale": [0.3, 0.3, 0.3],
+            "translate": [0.1, 0.1, 0.1],
+            "applied_to": ["im", "gt"],
+            "dataset_type": ["training"]
+        },
+        "ElasticTransform": {
+            "alpha_range": [25.0, 35.0],
+            "sigma_range": [3.5, 5.5],
+            "p": 0.5,
+            "applied_to": ["im", "gt"],
+            "dataset_type": ["training"]
+        },
+        "RandomGamma": {
+            "log_gamma_range": [-1.5, 1.5],
+            "p": 0.5,
+            "applied_to": ["im"],
+            "dataset_type": ["training"]
+        },
+        "RandomBiasField": {
+            "coefficients": 0.5,
+            "order": 3,
+            "p": 0.3,
+            "applied_to": ["im"],
+            "dataset_type": ["training"]
+        },
+        "RandomBlur": {
+            "sigma_range": [0.0, 1.0],
+            "p": 0.3,
+            "applied_to": ["im"],
+            "dataset_type": ["training"]
+        },
+        "NumpyToTensor": {},
+        "NormalizeInstance": {
+            "applied_to": ["im"]
+        }
+    },
+    "Modified3DUNet": {
+        "applied": true,
+        "length_3D": [128, 64, 32],
+        "stride_3D": [128, 64, 32],
+        "attention": false,
+        "n_filters": 8
+    }
+}
diff --git a/config/test_on_rater1.json b/config/test_on_rater1.json
new file mode 100644
index 0000000..63e404f
--- /dev/null
+++ b/config/test_on_rater1.json
@@ -0,0 +1,74 @@
+{
+    "command": "test",
+    "gpu_ids": [0],
+    "path_output": "seg_lesion_output",
+    "model_name": "seg_lesion_model",
+    "debugging": true,
+    "object_detection_params": {
+        "object_detection_path": null,
+        "safety_factor": [1.0, 1.0, 1.0]
+    },
+    "loader_parameters": {
+        "path_data": ["basel-mp2rage-preprocessed/data_processed_lesionseg"],
+        "subject_selection": {
+            "n": [],
+            "metadata": [],
+            "value": []
+        },
+        "target_suffix": ["_lesion-manual"],
+        "extensions": [],
+        "roi_params": {
+            "suffix": null,
+            "slice_filter_roi": null
+        },
+        "contrast_params": {
+            "training_validation": ["UNIT1"],
+            "testing": ["UNIT1"],
+            "balance": {}
+        },
+        "slice_filter_params": {
+            "filter_empty_mask": true,
+            "filter_empty_input": true
+        },
+        "slice_axis": "sagittal",
+        "multichannel": false,
+        "soft_gt": false
+    },
+    "split_dataset": {
+        "fname_split": null,
+        "random_seed": 42,
+        "center_test": [],
+        "method": "per_patient",
+        "balance": null,
+        "train_fraction": 0.75,
+        "test_fraction": 0.2
+    },
+    "uncertainty": {
+        "epistemic": false,
+        "aleatoric": false,
+        "n_it": 0
+    },
+    "postprocessing": {"binarize_prediction": {"thr": 0.5}},
+    "evaluation_parameters": {},
+    "transformation": {
+        "Resample": {
+            "wspace": 1.0,
+            "hspace": 1.0,
+            "dspace": 1.0
+        },
+        "CenterCrop": {
+            "size": [128, 64, 32]
+        },
+        "NumpyToTensor": {},
+        "NormalizeInstance": {
+            "applied_to": ["im"]
+        }
+    },
+    "Modified3DUNet": {
+        "applied": true,
+        "length_3D": [128, 64, 32],
+        "stride_3D": [128, 64, 32],
+        "attention": false,
+        "n_filters": 8
+    }
+}
diff --git a/config/test_on_rater2.json b/config/test_on_rater2.json
new file mode 100644
index 0000000..a51a210
--- /dev/null
+++ b/config/test_on_rater2.json
@@ -0,0 +1,74 @@
+{
+    "command": "test",
+    "gpu_ids": [0],
+    "path_output": "seg_lesion_output",
+    "model_name": "seg_lesion_model",
+    "debugging": true,
+    "object_detection_params": {
+        "object_detection_path": null,
+        "safety_factor": [1.0, 1.0, 1.0]
+    },
+    "loader_parameters": {
+        "path_data": ["basel-mp2rage-preprocessed/data_processed_lesionseg"],
+        "subject_selection": {
+            "n": [],
+            "metadata": [],
+            "value": []
+        },
+        "target_suffix": ["_lesion-manual2"],
+        "extensions": [],
+        "roi_params": {
+            "suffix": null,
+            "slice_filter_roi": null
+        },
+        "contrast_params": {
+            "training_validation": ["UNIT1"],
+            "testing": ["UNIT1"],
+            "balance": {}
+        },
+        "slice_filter_params": {
+            "filter_empty_mask": true,
+            "filter_empty_input": true
+        },
+        "slice_axis": "sagittal",
+        "multichannel": false,
+        "soft_gt": false
+    },
+    "split_dataset": {
+        "fname_split": null,
+        "random_seed": 42,
+        "center_test": [],
+        "method": "per_patient",
+        "balance": null,
+        "train_fraction": 0.75,
+        "test_fraction": 0.2
+    },
+    "uncertainty": {
+        "epistemic": false,
+        "aleatoric": false,
+        "n_it": 0
+    },
+    "postprocessing": {"binarize_prediction": {"thr": 0.5}},
+    "evaluation_parameters": {},
+    "transformation": {
+        "Resample": {
+            "wspace": 1.0,
+            "hspace": 1.0,
+            "dspace": 1.0
+        },
+        "CenterCrop": {
+            "size": [128, 64, 32]
+        },
+        "NumpyToTensor": {},
+        "NormalizeInstance": {
+            "applied_to": ["im"]
+        }
+    },
+    "Modified3DUNet": {
+        "applied": true,
+        "length_3D": [128, 64, 32],
+        "stride_3D": [128, 64, 32],
+        "attention": false,
+        "n_filters": 8
+    }
+}